Stata Lecture 3 Flashcards

1
Q

What 3 things must you consider when deciding how to analyse data?

A

Is the data normally distributed or skewed?
Are you comparing two groups or more?
Are the groups independent or are they paired?

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2
Q

What is the difference between independent groups vs paired groups?

A

Independent groups come from separate populations (e.g. how men vote vs how women vote)
Paired groups are drawn from the same population (e.g. womens views on politics vs womens views on art)

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3
Q

What are 3 possible reasons for incurring a high p value?

A

There truly is no difference between the two groups
The sample was atypical and not representative of the population
The sample was not large enough for the data to be deemed significant

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4
Q

3 Disadvantages of non-parametric statistical tests?

A

Do not provide a confidence interval
Based on rankings, not scores
Less sensitive than parametric test - best to use parametric test if assumptions hold for it

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5
Q

How do you check if data is normally distributed?

A

Box and Whisker plot for the data in each individual group

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6
Q

What are the assumptions of all parametric statistical tests?

A

Normally distributed data

Standard deviation is similar across all groups

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7
Q

3 reasons when could you potentially use a parametric test for skewed data?

A

When there are 50 observations in each group
The skewness is not very large
The standard deviations are similar across groups

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8
Q

How to calculate variance?

A

Standard deviation squared

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9
Q

How do you determine if standard deviation is similar across groups?

A

The variance (standard deviation squared) should be no more than 4 times larger the variance of any other group

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10
Q

When would you use a non-parametric test?

A

Data is skewed
Small sample size
Standard deviation differs across groups

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11
Q

Which test would you use for:
parametric
2 groups
independent

A

Two sample/unpaired t-test

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12
Q

Which test would you use for:
parametric
2 groups
paired

A

Paired t-test

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13
Q

Which test would you use for:
parametric
3 or more groups
independent

A

ANOVA (analysis of variance test)

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14
Q

Which test would you use for:
parametric
3 or more groups
paired

A

Repeated measures analysis of variance

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15
Q

Which test would you use for:
non-parametric
3 or more groups
independent

A

Kruskal-Wallis test

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16
Q

Which test would you use for:
non-parametric
2 groups
independent

A

Mann Whitney test

17
Q

Which test would you use for:
non-parametric
2 groups
paired

A

Wilcoxon signed rank

18
Q

Which test would you use for:
non-parametric
3 or more groups
paired

A

Friedman test