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DOWNLOAD 15-DAY TRIAL Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 EXAMPLES - ANALYSE-IT CLSI EP06-A - Appendix C examples of evaluating linearity for two methods over 5 diluted levels with 2 replicates. Demonstrates scatter plot showing fits, precision estimates, non-linearity at each level, and non-linearity plot with allowable non-linearity. EP06-A Example2.xlsx. MSA.
METHOD COMPARISON > STATISTICAL REFERENCE GUIDE Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 GROUPING THE OBSERVATIONS > CORRELATION / PCA TUTORIAL Grouping the observations. Rather than focusing on individual neighborhoods, we may group the neighborhoods by the borough they are located in and plot the points using different symbols and colors. On the Biplot task pane, click Vary point color / symbol. In the Group / Color / Symbol drop-down list, select Borough. Click Recalculate. DIAGNOSTIC ACCURACY (SENSITIVITY/SPECIFICITY) VERSUS Due to COVID-19, there is currently a lot of interest surrounding the sensitivity and specificity of a diagnostic test. These terms relate to the accuracy of a test in diagnosing an illness or condition. LIMITS OF AGREEMENT (LOA) > METHOD COMPARISON Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 FITTING A SIMPLE LOGISTIC REGRESSION > LOGISTIC FIT > FIT Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 DIFFERENCE BETWEEN MEANS/MEDIANS EFFECT SIZE (2 An effect size estimates the magnitude of the difference between two means/medians. The term effect size relates to both unstandardized measures (for example, the difference between group means) and standardized measures (such as Cohen's d; the standardized difference between group means). SHEWHART CONTROL CHART RULES > SHEWHART CONTROL CHARTS You should choose tests in advance of looking at the control chart based on your knowledge of the process. Applying test 1 to a Shewhart control chart for an in-control process with observations from a normal distribution leads to a false alarm once every 370 observationson average.
ANALYSE-IT – #1 STATISTICAL ANALYSIS ADD-IN SOFTWARE FOR EXCELPRODUCTSSTANDARD EDITIONQUALITY CONTROL & IMPROVEMENT EDITIONMETHOD VALIDATION EDITION The leading add-in for in-depth statistical analysis in Microsoft Excel for 20+ years. Statistics include model fitting, regression, ANOVA, ANCOVA, PCA, factor analysis, & more. From just US$99. Freetrial
DOWNLOAD 15-DAY TRIAL Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 EXAMPLES - ANALYSE-IT CLSI EP06-A - Appendix C examples of evaluating linearity for two methods over 5 diluted levels with 2 replicates. Demonstrates scatter plot showing fits, precision estimates, non-linearity at each level, and non-linearity plot with allowable non-linearity. EP06-A Example2.xlsx. MSA.
METHOD COMPARISON > STATISTICAL REFERENCE GUIDE Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 GROUPING THE OBSERVATIONS > CORRELATION / PCA TUTORIAL Grouping the observations. Rather than focusing on individual neighborhoods, we may group the neighborhoods by the borough they are located in and plot the points using different symbols and colors. On the Biplot task pane, click Vary point color / symbol. In the Group / Color / Symbol drop-down list, select Borough. Click Recalculate. DIAGNOSTIC ACCURACY (SENSITIVITY/SPECIFICITY) VERSUS Due to COVID-19, there is currently a lot of interest surrounding the sensitivity and specificity of a diagnostic test. These terms relate to the accuracy of a test in diagnosing an illness or condition. LIMITS OF AGREEMENT (LOA) > METHOD COMPARISON Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 FITTING A SIMPLE LOGISTIC REGRESSION > LOGISTIC FIT > FIT Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 DIFFERENCE BETWEEN MEANS/MEDIANS EFFECT SIZE (2 An effect size estimates the magnitude of the difference between two means/medians. The term effect size relates to both unstandardized measures (for example, the difference between group means) and standardized measures (such as Cohen's d; the standardized difference between group means). SHEWHART CONTROL CHART RULES > SHEWHART CONTROL CHARTS You should choose tests in advance of looking at the control chart based on your knowledge of the process. Applying test 1 to a Shewhart control chart for an in-control process with observations from a normal distribution leads to a false alarm once every 370 observationson average.
THE COMPLETE GUIDE
4 Contents Setting the minimum, maximum and units of a variable 39 Ordering categorical data 40 Setting the number format of a variable 40 Labeling cases 41 BIAS > TRUENESS > MEASUREMENT SYSTEMS ANALYSIS (MSA Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 SIMPLE LINEAR REGRESSION TUTORIAL > TUTORIALS In this tutorial you will perform the following tasks: Plotting bivariate data. Create a scatter plot of the relationship between the variables. Fitting a simple regression model. Fit a polynomial regression model to describe the relationship. Checking the assumptions of the regression model. Check the assumptions and robustness of the model. METHOD COMPARISON > STATISTICAL REFERENCE GUIDE Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 S CHART > SHEWHART VARIABLES CONTROL CHARTS > SHEWHART The individual observations are assumed to be independent and normally distributed. Although the chart is fairly robust and non-normality is not a serious problem unless there is a considerable deviation from normality (Burr, 1967).. For subgroup sizes less than 6 with k-sigma control limits, the lower limit is zero. NUMERICAL ACCURACY > WORKING WITH ANALYSES > USER'S GUIDE Numerical accuracy. All calculations are performed using double-precision IEEE 754 standard, highly reliable numerical methods, and then tested rigorously. To ensure that Analyse-it produces accurate results it does not use any Excel mathematical, statistical or distribution functions. Many of these functions in early versionsof Microsoft
INDEPENDENCE HYPOTHESIS TEST > INFERENCES ABOUT A hypothesis test formally tests whether 2 categorical variables are independent. When both variables are random, the hypothesis of interest is whether the variables are independent. EXACT AND ASYMPTOTIC P-VALUES > INFERENCES ABOUT EQUALITY Asymptotic p-values are useful for large sample sizes when the calculation of an exact p-value is too computer-intensive. Many test statistics follow a discrete probability distribution. COVARIANCE > CORRELATION AND ASSOCIATION > STATISTICAL Covariance is a measure of how much two variables change together. A covariance matrix measures the covariance between many pairs ofvariables.
UNDERSTANDING THE RELATIONSHIP BETWEEN VARIABLES Rather than using a scatter plot or correlation matrix, a two-dimensional correlation monoplot of the coefficients of the first two principal components can visualize the relationships between thevariables.
ANALYSE-IT – #1 STATISTICAL ANALYSIS ADD-IN SOFTWARE FOR EXCELPRODUCTSSTANDARD EDITIONQUALITY CONTROL & IMPROVEMENT EDITIONMETHOD VALIDATION EDITION The leading add-in for in-depth statistical analysis in Microsoft Excel for 20+ years. Statistics include model fitting, regression, ANOVA, ANCOVA, PCA, factor analysis, & more. From just US$99. Freetrial
DOWNLOAD 15-DAY TRIAL Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 EXAMPLES - ANALYSE-IT CLSI EP06-A - Appendix C examples of evaluating linearity for two methods over 5 diluted levels with 2 replicates. Demonstrates scatter plot showing fits, precision estimates, non-linearity at each level, and non-linearity plot with allowable non-linearity. EP06-A Example2.xlsx. MSA.
METHOD COMPARISON > STATISTICAL REFERENCE GUIDE Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 GROUPING THE OBSERVATIONS > CORRELATION / PCA TUTORIAL Grouping the observations. Rather than focusing on individual neighborhoods, we may group the neighborhoods by the borough they are located in and plot the points using different symbols and colors. On the Biplot task pane, click Vary point color / symbol. In the Group / Color / Symbol drop-down list, select Borough. Click Recalculate. DIAGNOSTIC ACCURACY (SENSITIVITY/SPECIFICITY) VERSUS Due to COVID-19, there is currently a lot of interest surrounding the sensitivity and specificity of a diagnostic test. These terms relate to the accuracy of a test in diagnosing an illness or condition. LIMITS OF AGREEMENT (LOA) > METHOD COMPARISON Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 FITTING A SIMPLE LOGISTIC REGRESSION > LOGISTIC FIT > FIT Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 DIFFERENCE BETWEEN MEANS/MEDIANS EFFECT SIZE (2 An effect size estimates the magnitude of the difference between two means/medians. The term effect size relates to both unstandardized measures (for example, the difference between group means) and standardized measures (such as Cohen's d; the standardized difference between group means). SHEWHART CONTROL CHART RULES > SHEWHART CONTROL CHARTS You should choose tests in advance of looking at the control chart based on your knowledge of the process. Applying test 1 to a Shewhart control chart for an in-control process with observations from a normal distribution leads to a false alarm once every 370 observationson average.
ANALYSE-IT – #1 STATISTICAL ANALYSIS ADD-IN SOFTWARE FOR EXCELPRODUCTSSTANDARD EDITIONQUALITY CONTROL & IMPROVEMENT EDITIONMETHOD VALIDATION EDITION The leading add-in for in-depth statistical analysis in Microsoft Excel for 20+ years. Statistics include model fitting, regression, ANOVA, ANCOVA, PCA, factor analysis, & more. From just US$99. Freetrial
DOWNLOAD 15-DAY TRIAL Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 EXAMPLES - ANALYSE-IT CLSI EP06-A - Appendix C examples of evaluating linearity for two methods over 5 diluted levels with 2 replicates. Demonstrates scatter plot showing fits, precision estimates, non-linearity at each level, and non-linearity plot with allowable non-linearity. EP06-A Example2.xlsx. MSA.
METHOD COMPARISON > STATISTICAL REFERENCE GUIDE Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 GROUPING THE OBSERVATIONS > CORRELATION / PCA TUTORIAL Grouping the observations. Rather than focusing on individual neighborhoods, we may group the neighborhoods by the borough they are located in and plot the points using different symbols and colors. On the Biplot task pane, click Vary point color / symbol. In the Group / Color / Symbol drop-down list, select Borough. Click Recalculate. DIAGNOSTIC ACCURACY (SENSITIVITY/SPECIFICITY) VERSUS Due to COVID-19, there is currently a lot of interest surrounding the sensitivity and specificity of a diagnostic test. These terms relate to the accuracy of a test in diagnosing an illness or condition. LIMITS OF AGREEMENT (LOA) > METHOD COMPARISON Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 FITTING A SIMPLE LOGISTIC REGRESSION > LOGISTIC FIT > FIT Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 DIFFERENCE BETWEEN MEANS/MEDIANS EFFECT SIZE (2 An effect size estimates the magnitude of the difference between two means/medians. The term effect size relates to both unstandardized measures (for example, the difference between group means) and standardized measures (such as Cohen's d; the standardized difference between group means). SHEWHART CONTROL CHART RULES > SHEWHART CONTROL CHARTS You should choose tests in advance of looking at the control chart based on your knowledge of the process. Applying test 1 to a Shewhart control chart for an in-control process with observations from a normal distribution leads to a false alarm once every 370 observationson average.
THE COMPLETE GUIDE
4 Contents Setting the minimum, maximum and units of a variable 39 Ordering categorical data 40 Setting the number format of a variable 40 Labeling cases 41 BIAS > TRUENESS > MEASUREMENT SYSTEMS ANALYSIS (MSA Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 SIMPLE LINEAR REGRESSION TUTORIAL > TUTORIALS In this tutorial you will perform the following tasks: Plotting bivariate data. Create a scatter plot of the relationship between the variables. Fitting a simple regression model. Fit a polynomial regression model to describe the relationship. Checking the assumptions of the regression model. Check the assumptions and robustness of the model. METHOD COMPARISON > STATISTICAL REFERENCE GUIDE Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 S CHART > SHEWHART VARIABLES CONTROL CHARTS > SHEWHART The individual observations are assumed to be independent and normally distributed. Although the chart is fairly robust and non-normality is not a serious problem unless there is a considerable deviation from normality (Burr, 1967).. For subgroup sizes less than 6 with k-sigma control limits, the lower limit is zero. NUMERICAL ACCURACY > WORKING WITH ANALYSES > USER'S GUIDE Numerical accuracy. All calculations are performed using double-precision IEEE 754 standard, highly reliable numerical methods, and then tested rigorously. To ensure that Analyse-it produces accurate results it does not use any Excel mathematical, statistical or distribution functions. Many of these functions in early versionsof Microsoft
INDEPENDENCE HYPOTHESIS TEST > INFERENCES ABOUT A hypothesis test formally tests whether 2 categorical variables are independent. When both variables are random, the hypothesis of interest is whether the variables are independent. EXACT AND ASYMPTOTIC P-VALUES > INFERENCES ABOUT EQUALITY Asymptotic p-values are useful for large sample sizes when the calculation of an exact p-value is too computer-intensive. Many test statistics follow a discrete probability distribution. COVARIANCE > CORRELATION AND ASSOCIATION > STATISTICAL Covariance is a measure of how much two variables change together. A covariance matrix measures the covariance between many pairs ofvariables.
UNDERSTANDING THE RELATIONSHIP BETWEEN VARIABLES Rather than using a scatter plot or correlation matrix, a two-dimensional correlation monoplot of the coefficients of the first two principal components can visualize the relationships between thevariables.
ANALYSE-IT – #1 STATISTICAL ANALYSIS ADD-IN SOFTWARE FOR EXCELPRODUCTSSTANDARD EDITIONQUALITY CONTROL & IMPROVEMENT EDITIONMETHOD VALIDATION EDITION The leading add-in for in-depth statistical analysis in Microsoft Excel for 20+ years. Statistics include model fitting, regression, ANOVA, ANCOVA, PCA, factor analysis, & more. From just US$99. Freetrial
DOWNLOAD 15-DAY TRIAL Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875THE COMPLETE GUIDE
4 Contents Setting the minimum, maximum and units of a variable 39 Ordering categorical data 40 Setting the number format of a variable 40 Labeling cases 41 BIAS > TRUENESS > MEASUREMENT SYSTEMS ANALYSIS (MSA Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 GROUPING THE OBSERVATIONS > CORRELATION / PCA TUTORIAL Grouping the observations. Rather than focusing on individual neighborhoods, we may group the neighborhoods by the borough they are located in and plot the points using different symbols and colors. On the Biplot task pane, click Vary point color / symbol. In the Group / Color / Symbol drop-down list, select Borough. Click Recalculate. LIMITS OF AGREEMENT (LOA) > METHOD COMPARISON Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 S CHART > SHEWHART VARIABLES CONTROL CHARTS > SHEWHART The individual observations are assumed to be independent and normally distributed. Although the chart is fairly robust and non-normality is not a serious problem unless there is a considerable deviation from normality (Burr, 1967).. For subgroup sizes less than 6 with k-sigma control limits, the lower limit is zero. I CHART > SHEWHART VARIABLES CONTROL CHARTS > SHEWHART An I-chart is a type of control chart used to monitor the process mean when measuring individuals at regular intervals from a process. It is typical to use individual observations instead of rational subgroups when there is no basis for forming subgroups, when there is a long interval between observations becoming available, when testing is destructive or expensive, or for many other reasons. EXACT AND ASYMPTOTIC P-VALUES > INFERENCES ABOUT EQUALITY Asymptotic p-values are useful for large sample sizes when the calculation of an exact p-value is too computer-intensive. Many test statistics follow a discrete probability distribution. CAPABILITY RATIOS (CP/PP INDICES) > PROCESS CAPABILITY Capability ratios (Cp/Pp) describe the variability of a process relative to the specification limits. A capability ratio is a unit-less value describing the ratio of process distribution spread to ANALYSE-IT – #1 STATISTICAL ANALYSIS ADD-IN SOFTWARE FOR EXCELPRODUCTSSTANDARD EDITIONQUALITY CONTROL & IMPROVEMENT EDITIONMETHOD VALIDATION EDITION The leading add-in for in-depth statistical analysis in Microsoft Excel for 20+ years. Statistics include model fitting, regression, ANOVA, ANCOVA, PCA, factor analysis, & more. From just US$99. Freetrial
DOWNLOAD 15-DAY TRIAL Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875THE COMPLETE GUIDE
4 Contents Setting the minimum, maximum and units of a variable 39 Ordering categorical data 40 Setting the number format of a variable 40 Labeling cases 41 BIAS > TRUENESS > MEASUREMENT SYSTEMS ANALYSIS (MSA Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 GROUPING THE OBSERVATIONS > CORRELATION / PCA TUTORIAL Grouping the observations. Rather than focusing on individual neighborhoods, we may group the neighborhoods by the borough they are located in and plot the points using different symbols and colors. On the Biplot task pane, click Vary point color / symbol. In the Group / Color / Symbol drop-down list, select Borough. Click Recalculate. LIMITS OF AGREEMENT (LOA) > METHOD COMPARISON Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 S CHART > SHEWHART VARIABLES CONTROL CHARTS > SHEWHART The individual observations are assumed to be independent and normally distributed. Although the chart is fairly robust and non-normality is not a serious problem unless there is a considerable deviation from normality (Burr, 1967).. For subgroup sizes less than 6 with k-sigma control limits, the lower limit is zero. I CHART > SHEWHART VARIABLES CONTROL CHARTS > SHEWHART An I-chart is a type of control chart used to monitor the process mean when measuring individuals at regular intervals from a process. It is typical to use individual observations instead of rational subgroups when there is no basis for forming subgroups, when there is a long interval between observations becoming available, when testing is destructive or expensive, or for many other reasons. EXACT AND ASYMPTOTIC P-VALUES > INFERENCES ABOUT EQUALITY Asymptotic p-values are useful for large sample sizes when the calculation of an exact p-value is too computer-intensive. Many test statistics follow a discrete probability distribution. CAPABILITY RATIOS (CP/PP INDICES) > PROCESS CAPABILITY Capability ratios (Cp/Pp) describe the variability of a process relative to the specification limits. A capability ratio is a unit-less value describing the ratio of process distribution spread toTHE COMPLETE GUIDE
4 Contents Setting the minimum, maximum and units of a variable 39 Ordering categorical data 40 Setting the number format of a variable 40 Labeling cases 41 PCA (PRINCIPAL COMPONENT ANALYSIS) SOFTWARE FOR MICROSOFT Principal Component Analysis (PCA) and Factor Analysis (FA) to reduce dimensionality. Classical Gabriel and modern Gower & Hand bi-plots, Scree plots, Covariance and Correlation PCA mono-plots so you can easily visualize the model. Color maps for correlation and other matrices, to help you quickly identify patterns in large matrices. PLOTTING A DIFFERENCE PLOT AND ESTIMATING THE AVERAGE BIAS If the data are in 2 variables with a separate variable identifying replicates of each item: In the X drop-down list, select the comparative or reference measurement procedure variable.; In the Y drop-down list, select the test measurement procedure variable.; In the Item drop-down list, select the variable identifying each item.; If the data are in a single variable with a separate variable PARAMETER ESTIMATES > LINEAR FIT > FIT MODEL > STATISTICAL Parameter estimates (also called coefficients) are the change in the response associated with a one-unit change of the predictor, all other predictors being held constant. RESIDUALS - INDEPENDENCE > LINEAR FIT > FIT MODEL The null hypothesis states that the residuals are not autocorrelated, against the alternative hypothesis that they are. If the test p-value is less than the predefined significance level, you can reject the null hypothesis and conclude the residuals are correlated. INTERMEDIATE PRECISION > CONDITIONS OF MEASUREMENT Intermediate precision (also called within-laboratory or within-device) is a measure of precision under a defined set of conditions: same measurement procedure, same measuring system, same location, and replicate measurements on the same or similar objects over an extended period of time. INDEPENDENCE HYPOTHESIS TEST > INFERENCES ABOUT Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 NORMAL PROBABILITY (Q-Q) PLOT > NORMALITY > CONTINUOUS A normal probability plot, or more specifically a quantile-quantile (Q-Q) plot, shows the distribution of the data against the expected normal distribution. MOUNTAIN PLOT (FOLDED CDF PLOT) > METHOD COMPARISON A mountain plot shows the distribution of the differences between two methods. It is a complementary plot to the difference plot. SHEWHART CONTROL CHART RULES > SHEWHART CONTROL CHARTS You should choose tests in advance of looking at the control chart based on your knowledge of the process. Applying test 1 to a Shewhart control chart for an in-control process with observations from a normal distribution leads to a false alarm once every 370 observationson average.
ANALYSE-IT – #1 STATISTICAL ANALYSIS ADD-IN SOFTWARE FOR EXCELPRODUCTSSTANDARD EDITIONQUALITY CONTROL & IMPROVEMENT EDITIONMETHOD VALIDATION EDITION The leading add-in for in-depth statistical analysis in Microsoft Excel for 20+ years. Statistics include model fitting, regression, ANOVA, ANCOVA, PCA, factor analysis, & more. From just US$99. Freetrial
DOWNLOAD 15-DAY TRIAL Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 NUMERICAL ACCURACY > WORKING WITH ANALYSES > USER'S GUIDE Numerical accuracy. All calculations are performed using double-precision IEEE 754 standard, highly reliable numerical methods, and then tested rigorously. To ensure that Analyse-it produces accurate results it does not use any Excel mathematical, statistical or distribution functions. Many of these functions in early versionsof Microsoft
GROUPING THE OBSERVATIONS > CORRELATION / PCA TUTORIAL Grouping the observations. Rather than focusing on individual neighborhoods, we may group the neighborhoods by the borough they are located in and plot the points using different symbols and colors. On the Biplot task pane, click Vary point color / symbol. In the Group / Color / Symbol drop-down list, select Borough. Click Recalculate. REFERENCE INTERVAL > STATISTICAL REFERENCE GUIDE Reference interval. A reference interval (sometimes called a reference range or normal range) describes the range of values of a measured quantity in healthy individuals. A reference limit defines a value where a given proportion of reference values are less than or equal to. A reference interval defines the interval between a lower andupper
ANOVA TABLE > LINEAR FIT > FIT MODEL > STATISTICAL ANOVA table. An analysis of variance (ANOVA) table shows the sources of variation. Sum of squares, the sum of the squared deviations from the expected value. Degrees of freedom, the number of values that are free to vary. Mean square, the sum of squares divided by the degrees of freedom. F-statistic, the ratio of two mean squares that forms the EXACT AND ASYMPTOTIC P-VALUES > INFERENCES ABOUT EQUALITY Asymptotic p-values are useful for large sample sizes when the calculation of an exact p-value is too computer-intensive. Many test statistics follow a discrete probability distribution. MOUNTAIN PLOT (FOLDED CDF PLOT) > METHOD COMPARISON A mountain plot shows the distribution of the differences between two methods. It is a complementary plot to the difference plot. COVARIANCE > CORRELATION AND ASSOCIATION > STATISTICAL Covariance is a measure of how much two variables change together. A covariance matrix measures the covariance between many pairs ofvariables.
DIFFERENCE BETWEEN MEANS/MEDIANS EFFECT SIZE (2 An effect size estimates the magnitude of the difference between two means/medians. The term effect size relates to both unstandardized measures (for example, the difference between group means) and standardized measures (such as Cohen's d; the standardized difference between group means). ANALYSE-IT – #1 STATISTICAL ANALYSIS ADD-IN SOFTWARE FOR EXCELPRODUCTSSTANDARD EDITIONQUALITY CONTROL & IMPROVEMENT EDITIONMETHOD VALIDATION EDITION The leading add-in for in-depth statistical analysis in Microsoft Excel for 20+ years. Statistics include model fitting, regression, ANOVA, ANCOVA, PCA, factor analysis, & more. From just US$99. Freetrial
DOWNLOAD 15-DAY TRIAL Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 NUMERICAL ACCURACY > WORKING WITH ANALYSES > USER'S GUIDE Numerical accuracy. All calculations are performed using double-precision IEEE 754 standard, highly reliable numerical methods, and then tested rigorously. To ensure that Analyse-it produces accurate results it does not use any Excel mathematical, statistical or distribution functions. Many of these functions in early versionsof Microsoft
GROUPING THE OBSERVATIONS > CORRELATION / PCA TUTORIAL Grouping the observations. Rather than focusing on individual neighborhoods, we may group the neighborhoods by the borough they are located in and plot the points using different symbols and colors. On the Biplot task pane, click Vary point color / symbol. In the Group / Color / Symbol drop-down list, select Borough. Click Recalculate. REFERENCE INTERVAL > STATISTICAL REFERENCE GUIDE Reference interval. A reference interval (sometimes called a reference range or normal range) describes the range of values of a measured quantity in healthy individuals. A reference limit defines a value where a given proportion of reference values are less than or equal to. A reference interval defines the interval between a lower andupper
ANOVA TABLE > LINEAR FIT > FIT MODEL > STATISTICAL ANOVA table. An analysis of variance (ANOVA) table shows the sources of variation. Sum of squares, the sum of the squared deviations from the expected value. Degrees of freedom, the number of values that are free to vary. Mean square, the sum of squares divided by the degrees of freedom. F-statistic, the ratio of two mean squares that forms the EXACT AND ASYMPTOTIC P-VALUES > INFERENCES ABOUT EQUALITY Asymptotic p-values are useful for large sample sizes when the calculation of an exact p-value is too computer-intensive. Many test statistics follow a discrete probability distribution. MOUNTAIN PLOT (FOLDED CDF PLOT) > METHOD COMPARISON A mountain plot shows the distribution of the differences between two methods. It is a complementary plot to the difference plot. COVARIANCE > CORRELATION AND ASSOCIATION > STATISTICAL Covariance is a measure of how much two variables change together. A covariance matrix measures the covariance between many pairs ofvariables.
DIFFERENCE BETWEEN MEANS/MEDIANS EFFECT SIZE (2 An effect size estimates the magnitude of the difference between two means/medians. The term effect size relates to both unstandardized measures (for example, the difference between group means) and standardized measures (such as Cohen's d; the standardized difference between group means). DISTRIBUTION TUTORIAL > TUTORIALS In this tutorial you will perform the following tasks: Plotting the distribution of the data. Create a histogram to see the distribution of the data. Estimating the population mean. Add an estimator to estimate the population mean. Excluding outliers. Exclude outliers,and recalculate the
PLOTTING A DIFFERENCE PLOT AND ESTIMATING THE AVERAGE BIAS If the data are in 2 variables with a separate variable identifying replicates of each item: In the X drop-down list, select the comparative or reference measurement procedure variable.; In the Y drop-down list, select the test measurement procedure variable.; In the Item drop-down list, select the variable identifying each item.; If the data are in a single variable with a separate variable ANOVA TABLE > LINEAR FIT > FIT MODEL > STATISTICAL ANOVA table. An analysis of variance (ANOVA) table shows the sources of variation. Sum of squares, the sum of the squared deviations from the expected value. Degrees of freedom, the number of values that are free to vary. Mean square, the sum of squares divided by the degrees of freedom. F-statistic, the ratio of two mean squares that forms the BIAS > TRUENESS > MEASUREMENT SYSTEMS ANALYSIS (MSA Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 I CHART > SHEWHART VARIABLES CONTROL CHARTS > SHEWHART An I-chart is a type of control chart used to monitor the process mean when measuring individuals at regular intervals from a process. It is typical to use individual observations instead of rational subgroups when there is no basis for forming subgroups, when there is a long interval between observations becoming available, when testing is destructive or expensive, or for many other reasons. DIAGNOSTIC ACCURACY (SENSITIVITY/SPECIFICITY) VERSUS Due to COVID-19, there is currently a lot of interest surrounding the sensitivity and specificity of a diagnostic test. These terms relate to the accuracy of a test in diagnosing an illness or condition. PARAMETER ESTIMATES > LINEAR FIT > FIT MODEL > STATISTICAL Parameter estimates (also called coefficients) are the change in the response associated with a one-unit change of the predictor, all other predictors being held constant. LIMITS OF AGREEMENT (LOA) > METHOD COMPARISON Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 SIDE BY SIDE BOX WHISKER PLOTS, MEAN PLOTS, DOT PLOTS Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 INDEPENDENCE HYPOTHESIS TEST > INFERENCES ABOUT A hypothesis test formally tests whether 2 categorical variables are independent. When both variables are random, the hypothesis of interest is whether the variables are independent. ANALYSE-IT – #1 STATISTICAL ANALYSIS ADD-IN SOFTWARE FOR EXCELPRODUCTSSTANDARD EDITIONQUALITY CONTROL & IMPROVEMENT EDITIONMETHOD VALIDATION EDITION The leading add-in for in-depth statistical analysis in Microsoft Excel for 20+ years. Statistics include model fitting, regression, ANOVA, ANCOVA, PCA, factor analysis, & more. From just US$99. Freetrial
DOWNLOAD 15-DAY TRIAL Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 NUMERICAL ACCURACY > WORKING WITH ANALYSES > USER'S GUIDE Numerical accuracy. All calculations are performed using double-precision IEEE 754 standard, highly reliable numerical methods, and then tested rigorously. To ensure that Analyse-it produces accurate results it does not use any Excel mathematical, statistical or distribution functions. Many of these functions in early versionsof Microsoft
GROUPING THE OBSERVATIONS > CORRELATION / PCA TUTORIAL Grouping the observations. Rather than focusing on individual neighborhoods, we may group the neighborhoods by the borough they are located in and plot the points using different symbols and colors. On the Biplot task pane, click Vary point color / symbol. In the Group / Color / Symbol drop-down list, select Borough. Click Recalculate. REFERENCE INTERVAL > STATISTICAL REFERENCE GUIDE Reference interval. A reference interval (sometimes called a reference range or normal range) describes the range of values of a measured quantity in healthy individuals. A reference limit defines a value where a given proportion of reference values are less than or equal to. A reference interval defines the interval between a lower andupper
ANOVA TABLE > LINEAR FIT > FIT MODEL > STATISTICALANOVA ANALYSIS EQUATIONANOVA ANALYSIS EXCELANOVA ANALYSIS TREATMENTANOVA TABLE EXPLAINEDANOVA TABLE MULTIPLE REGRESSIONADVANTAGES OF USING ANOVAANALYSIS
ANOVA table. An analysis of variance (ANOVA) table shows the sources of variation. Sum of squares, the sum of the squared deviations from the expected value. Degrees of freedom, the number of values that are free to vary. Mean square, the sum of squares divided by the degrees of freedom. F-statistic, the ratio of two mean squares that forms the EXACT AND ASYMPTOTIC P-VALUES > INFERENCES ABOUT EQUALITY Asymptotic p-values are useful for large sample sizes when the calculation of an exact p-value is too computer-intensive. Many test statistics follow a discrete probability distribution. ANALYSE-IT – #1 STATISTICAL ANALYSIS ADD-IN SOFTWARE FOR EXCELPRODUCTSSTANDARD EDITIONQUALITY CONTROL & IMPROVEMENT EDITIONMETHOD VALIDATION EDITION The leading add-in for in-depth statistical analysis in Microsoft Excel for 20+ years. Statistics include model fitting, regression, ANOVA, ANCOVA, PCA, factor analysis, & more. From just US$99. Freetrial
DOWNLOAD 15-DAY TRIAL Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 NUMERICAL ACCURACY > WORKING WITH ANALYSES > USER'S GUIDE Numerical accuracy. All calculations are performed using double-precision IEEE 754 standard, highly reliable numerical methods, and then tested rigorously. To ensure that Analyse-it produces accurate results it does not use any Excel mathematical, statistical or distribution functions. Many of these functions in early versionsof Microsoft
GROUPING THE OBSERVATIONS > CORRELATION / PCA TUTORIAL Grouping the observations. Rather than focusing on individual neighborhoods, we may group the neighborhoods by the borough they are located in and plot the points using different symbols and colors. On the Biplot task pane, click Vary point color / symbol. In the Group / Color / Symbol drop-down list, select Borough. Click Recalculate. REFERENCE INTERVAL > STATISTICAL REFERENCE GUIDE Reference interval. A reference interval (sometimes called a reference range or normal range) describes the range of values of a measured quantity in healthy individuals. A reference limit defines a value where a given proportion of reference values are less than or equal to. A reference interval defines the interval between a lower andupper
ANOVA TABLE > LINEAR FIT > FIT MODEL > STATISTICALANOVA ANALYSIS EQUATIONANOVA ANALYSIS EXCELANOVA ANALYSIS TREATMENTANOVA TABLE EXPLAINEDANOVA TABLE MULTIPLE REGRESSIONADVANTAGES OF USING ANOVAANALYSIS
ANOVA table. An analysis of variance (ANOVA) table shows the sources of variation. Sum of squares, the sum of the squared deviations from the expected value. Degrees of freedom, the number of values that are free to vary. Mean square, the sum of squares divided by the degrees of freedom. F-statistic, the ratio of two mean squares that forms the EXACT AND ASYMPTOTIC P-VALUES > INFERENCES ABOUT EQUALITY Asymptotic p-values are useful for large sample sizes when the calculation of an exact p-value is too computer-intensive. Many test statistics follow a discrete probability distribution. MOUNTAIN PLOT (FOLDED CDF PLOT) > METHOD COMPARISONPLOT MOUNTAIN VIDEOPLOT MOUNTAIN YOUTUBEPLOT MOUNTAIN PRINTABLEPRINTABLE PLOT MOUNTAIN GRAPHIC ORGANIZERSTORY PLOT MOUNTAINPLOT MOUNTAIN DIAGRAM A mountain plot shows the distribution of the differences between two methods. It is a complementary plot to the difference plot. COVARIANCE > CORRELATION AND ASSOCIATION > STATISTICAL Covariance is a measure of how much two variables change together. A covariance matrix measures the covariance between many pairs ofvariables.
DIFFERENCE BETWEEN MEANS/MEDIANS EFFECT SIZE (2 An effect size estimates the magnitude of the difference between two means/medians. The term effect size relates to both unstandardized measures (for example, the difference between group means) and standardized measures (such as Cohen's d; the standardized difference between group means). DISTRIBUTION TUTORIAL > TUTORIALS In this tutorial you will perform the following tasks: Plotting the distribution of the data. Create a histogram to see the distribution of the data. Estimating the population mean. Add an estimator to estimate the population mean. Excluding outliers. Exclude outliers,and recalculate the
PLOTTING A DIFFERENCE PLOT AND ESTIMATING THE AVERAGE BIAS If the data are in 2 variables with a separate variable identifying replicates of each item: In the X drop-down list, select the comparative or reference measurement procedure variable.; In the Y drop-down list, select the test measurement procedure variable.; In the Item drop-down list, select the variable identifying each item.; If the data are in a single variable with a separate variable ANOVA TABLE > LINEAR FIT > FIT MODEL > STATISTICAL ANOVA table. An analysis of variance (ANOVA) table shows the sources of variation. Sum of squares, the sum of the squared deviations from the expected value. Degrees of freedom, the number of values that are free to vary. Mean square, the sum of squares divided by the degrees of freedom. F-statistic, the ratio of two mean squares that forms the BIAS > TRUENESS > MEASUREMENT SYSTEMS ANALYSIS (MSA Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 I CHART > SHEWHART VARIABLES CONTROL CHARTS > SHEWHART An I-chart is a type of control chart used to monitor the process mean when measuring individuals at regular intervals from a process. It is typical to use individual observations instead of rational subgroups when there is no basis for forming subgroups, when there is a long interval between observations becoming available, when testing is destructive or expensive, or for many other reasons. DIAGNOSTIC ACCURACY (SENSITIVITY/SPECIFICITY) VERSUS Due to COVID-19, there is currently a lot of interest surrounding the sensitivity and specificity of a diagnostic test. These terms relate to the accuracy of a test in diagnosing an illness or condition. PARAMETER ESTIMATES > LINEAR FIT > FIT MODEL > STATISTICAL Parameter estimates (also called coefficients) are the change in the response associated with a one-unit change of the predictor, all other predictors being held constant. LIMITS OF AGREEMENT (LOA) > METHOD COMPARISON Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 SIDE BY SIDE BOX WHISKER PLOTS, MEAN PLOTS, DOT PLOTS Analyse-it Software, Ltd. The Tannery, 91 Kirkstall Road, Leeds, LS3 1HS, United Kingdom support@analyse-it.com +44-(0)113-247-3875 INDEPENDENCE HYPOTHESIS TEST > INFERENCES ABOUT A hypothesis test formally tests whether 2 categorical variables are independent. When both variables are random, the hypothesis of interest is whether the variables are independent. THE LEADING SOFTWARE FOR STATISTICAL ANALYSIS, DATA VISUALIZATION AND MODELLING IN MICROSOFT EXCEL FOR OVER 20-YEARS! TRANSFORM MICROSOFT EXCEL INTO A FULL-FEATURED STATISTICAL ANALYSISPACKAGE...
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Includes Shewhart control charts, process capability, pareto analysis, plus everything from the Standard edition: multiple regression & model-fitting, ANOVA, ANCOVA, principal component analysis (PCA) & hypothesis testing. Includes 11 CLSI EP protocols, Bland-Altman, Deming regression, Passing-Bablok regression, ROC curve analysis, Measurement Systems Analysis (MSA) for precision, trueness, linearity, & detection limits, plus everything from the Standard edition. Includes everything from the other editions.Read more...
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