Prelim #2 Flashcards

1
Q

Types of Test

A

Test of a single proportion
Goodness of fit test
Test of association

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2
Q

null/reference distribution of a test of single proportion

A

binomial distribution

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3
Q

null/reference distribution of goodness of fit test

A

chi-square distribution

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4
Q

null/reference distribution of a test of association

A

chi-square distribution

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5
Q

assumptions for chi-square test

A
  • adequate cell sizes
  • all cells must have expected counts >=1
  • at least 80% of the cells need expected counts>=5
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6
Q

assumptions for binomial distribution

A
  • the number of trials, n, is fixed
  • individual trials are independent
  • there are only 2 outcomes for every trial
  • the probability of success (p) is the same for every trial
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7
Q

assumptions of poisson distribution

A

-observations are independent and the probability of an observation is constant throughout

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8
Q

clumped

A

variance>mean

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9
Q

odds ratio

A

a/c/b/d (odds of success in one group divided by the odds of success in another group)

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10
Q

relative risk

A

pr(worse outcome in group 1)/pr(worse outcome in group 2)

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11
Q

finding p value in R

A

1-pchisq(teststat, df)

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12
Q

finding critical value in R

A

qchisq(percentile, df)

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13
Q

Type 1 error

A

rejecting a true null hypothesis

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14
Q

Type 2 error

A

(beta) failing to reject a false null hypothesis

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15
Q

hypothesis testing assumes that…

A

sampling is random

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16
Q

if test statistic is >critical value

A

reject null

17
Q

if p-value is <0.05

A

reject null

18
Q

significance level

A

the probability used as a criterion for rejecting the null hypothesis

19
Q

null distribution

A

the distribution of the test statistic, when assuming that the null hypothesis is true

20
Q

if odds ratio confidence interval contains 1?

A

no association

21
Q

if odds ratio does not contain 1?

A

statistically significant association

22
Q

standard error of the mean formula

A

sd/sqrt(n)

23
Q

CI for sample mean

A

sample mean +/- 2 SE

24
Q

power

A

the ability of a test to reject a false null hypothesis

1-beta

25
Q

the smaller beta (type 2 error)…

A

the more power a test has

26
Q

a larger sample gives more/less power?

A

more

27
Q

dispersed

A

variance is less than mean

28
Q

p-value

A

The probability of getting the result, or something as unusual or more unusual, if the null hypothesis were true