1. Y - Tests Type Based on Response and Measure Variable Data
Attribute Data
Location
Variation
Relationship
Proportion
Mean X or X -
Std. Dev = s
Correlation = r
Proportion = p
Median = Mdn
Regression= Y
Occurrence
Design of Experiments (DoE)

2. Variable Predictor and Attribute ResponseY
RESPONSE
Continuous Y
Normal
Non-Normal
Attribute Y
Chi-Squared
Proportion Tests
Logistic Regression
Variable Predictor and Attribute Response
Means
Variance
Median &
Rank Order
Variance
t-Tests
F-Test
Levene’s
Sign Test
Z-Tests
Bartlett’s
Wilcoxon
ANOVA
Mann-Whitney
Correlation
Regression
Kruskal Wallis
Moods Median

3. Statistical Tests For all tests:
p≥.05 Fail to Reject Ho (Null) p<.05 Reject Ho
Statistical Tests
Proportions Tests
Minitab: Stat – Basic Statistics –
1 Proportion
2 Proportion
Continuous Y
Variable X
Attribute Y
Logistic Regression
Minitab: Stat – Regression – Logistic Reg
(Variable Predictor Attribute Response)
Contingency Table
2 or more factors
Minitab: Stat – Tables
Chi-Square Goodness of Fit
Chi-Square Test
Paired T Test
Minitab: Stat – Basic Statistics
Paired T test (Pairwise Data Only)
Dependent
Matched
Variables
Tests of Relationship
Normality Test
Minitab: Stat – Basic Statistics Normality Test
Normal
Correlation
Minitab: Stat – Basic Statistics
1 Sample T Test
Minitab: Stat – Basic Statistics
1 Sample T test
Independent
Variables
Equal Variance Test
Minitab: Stat - ANOVA
Test for Equal Variance
2 samples = F Test
>2 samples = Bartlett’s Test
Non-Normal
Regression
Minitab: Stat
Regression or Fitted Line Plot
ANOVA
(≥2 Samples)
Minitab: ANOVA – One Way
Equal Variance Test
Minitab: Stat – ANOVA
Test for Equal Variance
Levene’s Test
Equal Variances
1 Sample
Minitab: Stat – Nonparametric
1 Sample Sign
1 Sample Wilcoxon (Symmetrical Dist)
Equal Variances
2 Sample T Test
(Unequal Variances)
Minitab: Stat – Basic Statistics
2 Sample T
(Do not check Assume Equal Variances)
2 Sample T Test
(Equal Variances)
Minitab: Stat – Basic Statistics
2 Sample T
(Check Assume Equal Variances)
2 or More Samples
Minitab: Stat – Nonparametric
Mann-Whitney (2 populations)
Kruskal Wallis (3 or More populations)
Moods Median (2 or More populations)
Similar Shape Distributions
Equal Variances Not Required