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One Way ANOVA with Minitab

What is One Way ANOVA with Minitab? The One way ANOVA with Minitab is a statistical method to compare means of two or more populations. Null Hypothesis(H0): Alternative Hypothesis(Ha): At least one μi is different, where i is any value from 1 to k It is a generalized form of the two sample t-test since…

Paired t Test with Minitab

What is a Paired t Test with Minitab? A Third type of a Two Sample t-Test using Minitab is the Paired t Test with Minitab. This test is used when the two populations are dependent of each other, so each data point from one distribution corresponds to a data point in the other distribution. When…

Two Sample t Test with Minitab

What is Two Sample T Test with Minitab? Two sample t test with Minitab is a hypothesis test to study whether there is a statistically significant difference between the means of two populations. Null Hypothesis (H0): μ1 = μ2 Alternative Hypothesis Ha) : μ1 ≠ μ2 Where: μ1 is the mean of one population and…

One Sample t Test with Minitab

What is a t Test? In statistics, a t test is a hypothesis test in which the test statistic follows a Student’s t distribution if the null hypothesis is true. We apply a one sample t test with Minitab when the population variance (σ) is unknown and we use the sample standard deviation (s) instead.…

Central Limit Theorem with Minitab

What is the Central Limit Theorem with Minitab? The Central Limit Theorem is one of the fundamental theorems of probability theory. It states a condition under which the mean of a large number of independent and identically-distributed random variables, each of which has a finite mean and variance, would be approximately normally distributed. Let us…

Multi Vari Analysis with Minitab

What is Multi Vari Analysis with Minitab? Multi Vari analysis with Minitab is a graphic-driven method to analyze the effects of categorical inputs on a continuous output. It studies how the variation in the output changes across different inputs and helps us quantitatively determine the major source of variability in the output. Multi-Vari charts are…

Process Capability with Minitab

This page demonstrates how process capability analysis is performed in Minitab. For a broad overview of capability concepts and indexes, see process capability in Six Sigma. What is Process Capability with Minitab? Process capability in Minitab measures how well a process meets a specified outcome. It indicates whether a process conforms to specified requirements or…

Attribute MSA with Minitab

Implement an Attribute MSA with Minitab Data File: “Attribute MSA” tab in “Sample Data.xlsx” (an example in the AIAG MSA Reference Manual, 3rd Edition). Steps in Minitab to run an attribute MSA: Step 1: Reorganize the original data into four new columns (i.e., Appraiser, Assessed Result, Part, and Reference). Click Data → Stack → Blocks…

Variable Gage R&R with Minitab

What is Variable Gage R&R with Minitab? Whenever something is measured repeatedly or by different people or processes, the results of the measurements will vary. Variation comes from two primary sources: Differences between the parts being measured The measurement system We can use a variable Gage R&R to conduct a measurement system analysis to determine…

Box Plot with Minitab

What is a Box Plot with Minitab? A box plot in Minitab is a graphical method for summarizing a data set by visualizing the minimum, 25th percentile, median, 75th percentile, maximum, and potential outliers. A percentile is the value below which a certain percentage of data fall. For example, if 75% of the observations in…

Histogram Rendering with Minitab

What is Histogram Rendering with Minitab? A histogram is a graphical tool for presenting the distribution of data. The X axis represents the possible values of the variable, and the Y axis represents the frequency of the value occurring. This graphical summary consists of adjacent rectangles erected over intervals with heights equal to the frequency…

Scatter Plot with Minitab

What is a Scatter Plot with Minitab? A scatter plot in Minitab is a diagram that presents the relationship between two variables in a data set. A scatter plot consists of a set of data points. In a scatter plot, each observation is represented as a data point, with its horizontal position equal to the…

Median Test with SigmaXL

What is a Mood’s Median Test with SigmaXL? The Mood’s median test with SigmaXL is a statistical test to compare the medians of two or more populations. Null Hypothesis (H0): η1 = … = ηk Alternative Hypothesis (Ha): At least one of the medians is different from the others. The symbol k is the number…

Mann Whitney Test with SigmaXL

What is the Mann Whitney Test with SigmaXL? The Mann Whitney test with SigmaXL is a statistical test (also called Mann–Whitney U test or Wilcoxon rank-sum test) is a statistical hypothesis test to compare the medians of two populations that are not normally distributed. In a non-normal distribution, the median is the better representation of…

One Way ANOVA with SigmaXL

What is a One Way ANOVA with SigmaXL? One way ANOVA with SigmaXL is a statistical method used to compare means of two or more populations. It is a generalized form of the two sample t-test since a two sample t-test compares two population means and one way ANOVA compares k population means where k…

Paired t Test with SigmaXL

What is a Paired t Test with SigmaXL The third type of a Two Sample t-Test is the Paired t Test with SigmaXL. This test is used when the two populations are dependent of each other, so each data point from one distribution corresponds to a data point in the other distribution. When using a…

Two Sample t Test with SigmaXL

What is a Two Sample t Test with SimgaXL Two sample t test is a hypothesis test to study whether there is a statistically significant difference between the means of two populations. Null Hypothesis (H0): μ1 = μ2 Alternative Hypothesis (Ha): μ1 ≠ μ2 Where: μ1 is the mean of one population and μ2 is…

One Sample t Test with SigmaXL

What is a One Sample t Test with SigmaXL? A One sample t test with SigmaXL is a hypothesis test to study whether there is a statistically significant difference between a population mean and a specified value. Null Hypothesis (H0): μ = μ0 Alternative Hypothesis (Ha): μ ≠ μ0 Where: μ is the mean of…

Central Limit Theorem with SigmaXL

Understanding the Central Limit Theorem with SigmaXL The Central Limit Theorem with SigmaXL is one of the fundamental theorems of probability theory. It states a condition under which the mean of a large number of independent and identically-distributed random variables, each of which has a finite mean and variance, would be approximately normally distributed. Let…

Multi Vari Analysis with SigmaXL

Learning Multi-Vari Analysis with SigmaXL Multi Vari Analysis with SigmaXL is a graphic-driven method to analyze the effects of categorical inputs on a continuous output. It studies how the variation in the output changes across different inputs and helps us quantitatively determine the major source of variability in the output. Multi Vari charts are used…