CK020 - Statistical Tests for Linear Regression Flashcards

1
Q

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

A

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

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2
Q

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

A

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

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3
Q

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

A

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

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4
Q

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

A

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

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5
Q

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

A

Tests if the means of two independent groups are equal.

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6
Q

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

A

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

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7
Q

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

A

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

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8
Q

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

A

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

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9
Q

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

A

Tests if the means of two related groups are equal.

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10
Q

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

A

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

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11
Q

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

A

Tests if the medians of two related groups are equal.

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12
Q

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

A

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

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13
Q

What does the ‘ANOVA test’ test?

A

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

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14
Q

When do you use the ‘ANOVA test’ test?

A

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

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15
Q

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

A

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

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16
Q

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

A

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

17
Q

What does the ‘Pearson correlation test’ test?

A

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

18
Q

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

A

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

19
Q

What does the ‘Spearman correlation test’ test?

A

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

20
Q

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

A

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

21
Q

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

A
  • Dependent variable must be continuous
  • Observations are independent
  • Dependent variable is approximately normally distributed
  • Dependent variable does NOT contain any outliers
22
Q

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

A
  • Population distribution is symmetric
  • Observations are independent
23
Q

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

A
  • Dependent variable must be continuous
  • Observations are independent
  • Dependent variable is approximately normally distributed
  • Dependent variable does NOT contain any outliers
24
Q

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

A
  • Population distribution is symmetric
  • Observations are independent
25
What are the assumptions of the 'Two-sample t-test (dependent)' ?
- 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
26
What are the assumptions of the 'Two-sample Wilcoxon signed rank test' ?
- Population distribution of the differences is symmetric - Observations are dependent
27
What are the assumptions of the 'ANOVA test' ?
- Variables are continuous - Samples are independent - Homogeneity of variance - Data are normally distributed
28
What are the assumptions of the 'M-sample Kruskal-Wallis test' ?
Within & between group observations are independent of eachother
29
What are the assumptions of the 'Pearson correlation test' ?
- 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
30
What are the assumptions of the 'Spearman correlation test' ?
- Variables must be continuous - There is a monotonic relationship between the 2 variables - Variables represent paired observations