“How-To” Articles
Simple Linear Regression with JMP
What is Simple Linear Regression? Simple linear regression is a statistical technique to fit a straight line through the data points. It models the quantitative relationship between two variables. It is simple because only one predictor variable is involved. It describes how one variable changes according to the change of another variable. Both variables need…
Read MoreSimple Linear Regression with SigmaXL
What is a Simple Linear Regression with SigmaXL? The Simple linear regression with SIgmaXL is a statistical technique to fit a straight line through the data points. It models the quantitative relationship between two variables. It is simple because only one predictor variable is involved. It describes how one variable changes according to the change…
Read MoreCorrelation Coefficient with JMP
What is Correlation? Correlation is a statistical technique that describes whether and how strongly two or more variables are related. Correlation analysis helps to understand the direction and degree of association between variables, and it suggests whether one variable can be used to predict another. Of the different metrics to measure correlation, Pearson’s correlation coefficient…
Read MoreCorrelation Coefficient with SigmaXL
What is a Correlation Coefficient with SigmaXL The Correlation Coefficient with SigmaXL or Pearson’s Product Moment correlation coefficient is also called Pearson’s r or coefficient of correlation, where r is a statistic measuring the linear relationship between two variables. What is Correlation? Correlation is a statistical technique that describes whether and how strongly two or…
Read MoreCorrelation Coefficient with Minitab
Pearson’s Correlation Coefficient Pearson’s correlation coefficient is also called Pearson’s r or coefficient of correlation and Pearson’s product moment correlation coefficient (r), where r is a statistic measuring the linear relationship between two variables. What is Correlation? Correlation is a statistical technique that describes whether and how strongly two or more variables are related. Correlation…
Read MoreTwo Sample Proportion Test with Minitab
What is the Two Sample Proportion Test with Minitab? The two sample proportion test with Minitab is a hypothesis test to compare the proportions of one certain event occurring in two populations following the binomial distribution. Null Hypothesis(H0): p1 = p2 Alternative Hypothesis(Ha): p1 ≠ p2 Two Sample Proportion Test Assumptions The sample data drawn…
Read MoreOne Sample Proportion Test with Minitab
What is the One Sample Proportion Test? One sample proportion test is a hypothesis test to compare the proportion of one certain outcome (e.g. the number of successes per the number of trials, or the number of defects per the total number of opportunities) occurring in a population following the binomial distribution with a specified…
Read MoreOne Sample Wilcoxon Test with Minitab
What is the One Sample Wilcoxon Test? The one sample Wilcoxon test is a hypothesis test to compare the median of one population with a specified value. Null Hypothesis (H0): η = η0 Alternative Hypothesis (Ha): η ≠ η0 It is an alternative test of one sample t-test when the distribution of the data is non-normal. It is…
Read MoreKruskal Wallis Test with Minitab
Kruskal Wallis One-Way Analysis of Variance The Kruskal Wallis test with Minitab is a one-way analysis of variance, a statistical hypothesis test to compare the medians among more than two groups. Null Hypothesis (H0): η1 = η2 = … = ηk Alternative Hypothesis (Ha): at least one of the medians is different from others Where:…
Read MoreMoods 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 MoreMann 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 MoreOne 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 MorePaired 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 MoreTwo 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 MoreOne 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 MoreCentral 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 MoreMulti 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 MoreProcess Capability with Minitab
What is Process Capability with Minitab? Process capability with Minitab measures how well the process performs to meet given specified outcome. It indicates the conformance of a process to meet given requirements or specifications. Capability analysis helps to better understand the performance of the process with respect to meeting customer’s specifications and identify the process…
Read MoreAttribute 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…
Read MoreVariable 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…
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