Posts by Michael Parker
Paired t Test with SigmaXL
Paired t Test The third type of a Two Sample t-Test is the Paired t Test. 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 paired t test, the test statistic is calculated…
Read MoreTwo Sample t Test with SigmaXL
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Read MoreOne Sample t Test with SigmaXL
What is a One Sample t Test? A One sample t test is a hypothesis test to study whether there is a statistically significant difference between a population mean and a specified value. [unordered_list style=”star”] Null Hypothesis (H0): μ = μ0 Alternative Hypothesis (Ha): μ ≠ μ0 [/unordered_list] Where: [unordered_list style=”star”] μ is the mean…
Read MoreCentral Limit Theorem with SigmaXL
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 MoreMulti Vari Analysis with SigmaXL
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 of…
Read MoreCapability Analysis with SigmaXL
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Read MoreVariable Gage R&R with SigmaXL
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Read MoreRun Chart with SigmaXL
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Read MoreScatter Plot using SigmaXL
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Read MoreHistogram Rendering using SigmaXL
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