Reading #11: Hypothesis Testing Flashcards

(15 cards)

1
Q

define p-value

A

smallest significance level for which the hypothesis would be rejected.

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2
Q

significance level shows probability of type 1 or type 2 error?

A

type 1

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3
Q

Power of a test equation

A

1 − P(Type II error)

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4
Q

Power of a test is prob of type 1 or type 2 error?

A

probability of rejecting the null when it is false (type 2)

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5
Q

t-statistics v z-stats, which is used when pop variance is known?

A

z-stats when pop is know, t-stat when pop is unknown

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6
Q

when population variances are equal or unequal, how to enter into denom. in test sample?

A

when equal - use pooled sample variances, when unequal, use variance of the two samples

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7
Q

define null hypothesis

A

hypothesis to be tested and is considered true until proven false

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8
Q

define a test statistic

A

“test statistic is a quantity, calculated based on a sample, whose value is the basis for deciding whether or not to reject the null hypothesis”

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9
Q

how is probability of a type 1 error denoted?

A

alpha, or level of significance

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10
Q

what does a significance level of .05 mean?

A

there is a 5% chance of a type 1 error / rejecting the true null hypothesis

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11
Q

define the power of a test

A

“probability of correctly rejecting the null—that is, the probability of rejecting the null when it is false.”

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12
Q

what is a paired comparisons test?

A

“the mean of the differences between the paired observations of two dependent, normally distributed samples.”

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13
Q

Mann-Whitney U-test

A

non-parametic test used to help determine differences between means

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14
Q

define non-parametic test

A

“test that is not concerned with a parameter, or a test that makes minimal assumptions about the population from which the sample comes”

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15
Q

Wilcoxon signed-rank test vs Wilcoxon signed-rank test Sign Test

A

test concerning single mean v. test concerning mean differences (paired comparisons)

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