Chi-square and t-tests Flashcards

1
Q

which test is used for proportions with more than 2 levels

A

chi-square goodness of fit test

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2
Q

which test is used for comparing proportions across two or more groups?

A

chi-square test of association

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3
Q

Which test is used for comparing a measure with a fixed value?

A

one sample t-test

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4
Q

which test is used for comparing a measure across two groups

A

ANOVA

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5
Q

what is chi-square test?

A
  • A test of difference among categorical (nominal/ordinal) variables
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6
Q

What are the two types of chi-square test?

A
  • goodness of fit
  • test of association
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7
Q

what is the chi-square goodness of fit test?

A

tests how the proportions in data fit to fixed (expected) proportions. Can test more than two categories

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8
Q

What is the chi-square test of association

A

tests how proportions of two data sets are associated

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9
Q

How are results typically reported for goodness of fit test?

A
  • result is the x2 value for df (degree-of-freedom) followed by p-value.
  • Normally a bigger x2 means a bigger difference
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10
Q

How are results typically reported for test of association?

A

reported by chi-square value with df and N (number of samples), followed by p-value

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11
Q

What is the paired samples McNemar’s test?

A

Paired samples mean that, data points are paired across two groups

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12
Q

what do t-tests test?

A

Difference in group of measures (interval or ratio variables). Compare means of populations

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13
Q

What are the three types of t-tests?

A

One-sample t-test
Independent (unpaired) samples t-test
Paired samples t-test

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14
Q

Example of one sample t-test

A

Chi-square goodness of fit

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15
Q

Example of independent sample t-test

A

Chi-square test of association

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16
Q

Example of paired sample t-test

A

McNemar’s test

17
Q

what assumptions are made for t-test

A
  • Normality: sampling distribution of means is normal
  • Equality of variance: variance of two populations is equal
18
Q

Null hypothesis of one-sample t-test

A

the populations underlying the two samples have equal means

19
Q

Null hypothesis of paired sample t-test

A

the population mean did not change