# Posts Tagged ‘Analyze Phase’

## Moods Median Test with Minitab

What is Mood’s Median Test? Mood’s median test 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 of groups of our interest and…

Read More## Mann Whitney Testing with Minitab

What is the Mann Whitney Test? The Mann Whitney 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 the center of the distribution. Null Hypothesis (H0): η1…

Read More## 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…

Read More## 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…

Read More## 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…

Read More## 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.…

Read More## 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…

Read More## 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…

Read More## 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…

Read More## 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…

Read More## 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…

Read More## 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…

Read More## 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…

Read More## 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…

Read More## 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…

Read More## Central Limit Theorem with JMP

What is Central Limit Theorem? 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 assume Y1, Y2…

Read More## Multi Vari Analysis with JMP

What is Multi-Vari Analysis? Multi vari analysis 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 to visualize the source…

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