CK020 - Statistical Tests for Linear Regression

Question 1

What does the ‘One-sample t-test’ test?

Answer 1

Tests if the mean of a single sample is equal to a known value or population mean.

Question 2

When do you use the ‘One-sample t-test’ test?

Answer 2

Use when the data is approximately normally distributed, and you want to compare the sample mean to a specific value.

Question 3

What does the ‘One-sample Wilcoxon signed rank test’ test?

Answer 3

Tests if the median of a single sample is equal to a known value.

Question 4

When do you use the ‘One-sample Wilcoxon signed rank test’ test?

Answer 4

Use when the data is NOT normally distributed, and you want to compare the sample median to a specific value.

Question 5

What does the ‘Two-sample t-test (independent)’ test?

Answer 5

Tests if the means of two independent groups are equal.

Question 6

When do you use the ‘Two-sample t-test (independent)’ test?

Answer 6

Use when comparing the means of two separate groups and the data is approximately normal.

Question 7

What does the ‘Two-sample Wilcoxon rank sum test’ test?

Answer 7

Tests if the distributions of two independent groups are the same.

Question 8

When do you use the ‘Two-sample Wilcoxon rank sum test’ test?

Answer 8

Use when comparing two independent groups where the data is NOT normally distributed.

Question 9

What does the ‘Two-sample t-test (dependent)’ test?

Answer 9

Tests if the means of two related groups are equal.

Question 10

When do you use the ‘Two-sample t-test (dependent)’ test?

Answer 10

Use when comparing paired data (e.g., before-and-after measurements) that is approximately normal.

Question 11

What does the ‘Two-sample Wilcoxon signed rank test’ test?

Answer 11

Tests if the medians of two related groups are equal.

Question 12

When do you use the ‘Two-sample Wilcoxon signed rank test’ test?

Answer 12

Use for paired data when the differences between pairs are NOT normally distributed.

Question 13

What does the ‘ANOVA test’ test?

Answer 13

Tests if the means of three or more groups are equal.

Question 14

When do you use the ‘ANOVA test’ test?

Answer 14

Use when comparing means across multiple groups with normally distributed data and equal variances.

Question 15

What does the ‘M-sample Kruskal-Wallis test’ test?

Answer 15

Tests if the distributions of three or more groups are the same.

Question 16

When do you use the ‘M-sample Kruskal-Wallis test’ test?

Answer 16

Use when comparing multiple groups where the data is NOT normally distributed or variances are UNEQUAL.

Question 17

What does the ‘Pearson correlation test’ test?

Answer 17

Tests the strength and direction of a linear relationship between two variables.

Question 18

When do you use the ‘Pearson correlation test’ test?

Answer 18

Use when assessing linear correlation between two continuous variables with normal distributions.

Question 19

What does the ‘Spearman correlation test’ test?

Answer 19

Tests the strength and direction of a monotonic relationship between two variables.

Question 20

When do you use the ‘Spearman correlation test’ test?

Answer 20

Use when assessing the relationship between two continuous or ordinal variables that are NOT normally distributed.

Question 21

What are the assumptions of the ‘One-sample t-test’ ?

Answer 21

• Dependent variable must be continuous
• Observations are independent
• Dependent variable is approximately normally distributed
• Dependent variable does NOT contain any outliers

Question 22

What are the assumptions of the ‘One-sample Wilcoxon signed rank test’ ?

Answer 22

• Population distribution is symmetric
• Observations are independent

Question 23

What are the assumptions of the ‘Two-sample t-test (independent)’ ?

Answer 23

• Dependent variable must be continuous
• Observations are independent
• Dependent variable is approximately normally distributed
• Dependent variable does NOT contain any outliers

Question 24

What are the assumptions of the ‘Two-sample Wilcoxon rank sum test’ ?

Answer 24

• Population distribution is symmetric
• Observations are independent

Question 25

What are the assumptions of the ‘Two-sample t-test (dependent)’ ?

Answer 25

• Dependent variable must be continuous
• Observations are dependent
• Distribution of the differences in variables between correlated groups are normally distributed
• Dependent variable does NOT contain any outliers

Question 26

What are the assumptions of the ‘Two-sample Wilcoxon signed rank test’ ?

Answer 26

• Population distribution of the differences is symmetric
• Observations are dependent

Question 27

What are the assumptions of the ‘ANOVA test’ ?

Answer 27

• Variables are continuous
• Samples are independent
• Homogeneity of variance
• Data are normally distributed

Question 28

What are the assumptions of the ‘M-sample Kruskal-Wallis test’ ?

Answer 28

Within & between group observations are independent of eachother

Question 29

What are the assumptions of the ‘Pearson correlation test’ ?

Answer 29

• Variables must be contiuous
• There is a linear relationship between the 2 variables
• Data has homoscedasticity
• Variables are approximately normally distributed
• Variables represent paired observations
• Variables do NOT contain any outliers

Question 30

What are the assumptions of the ‘Spearman correlation test’ ?

Answer 30

• Variables must be continuous
• There is a monotonic relationship between the 2 variables
• Variables represent paired observations