Chapter 8-Hypothesis Testing Flashcards

1
Q

Hypothesis Testing

A

statistical procedure that allows us to use data from a sample to draw inferences about a population

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2
Q

Alpha Level

A

A probability value used to define the concept of “very unlikely” in a hypothesis test ( the threshold for statistical significance)

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3
Q

What does the alpha level determine?

A

Risk of Type I Error (false positive)

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4
Q

Critical Regions

A

Composed of extreme sample values in the tail of distribution that are very unlikely to occur (as defined by the alpha level) if the null hypothesis is true

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5
Q

P value

A

probability of obtaining a test statistic as extreme or more extreme than that found if H0 is true.

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6
Q

Effect Size

A

Measure of the absolute magnitude of a difference, effect, or relationship

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7
Q

Effect Size and the Null Hypothesis

A

The larger the size of the difference, effect, or relationship, the greater the likelihood of rejecting the null hypothesis

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8
Q

Directionality and Null Hypothesis

A

There is a greater likelihood of rejecting the null hypothesis for a one-tailed test versus a two-tailed test

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9
Q

Alpha value and null hypothesis

A

The larger the value of , the greater the likelihood of rejecting the null hypothesis

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10
Q

Sample size and null hypothesis

A

The larger the sample size the greater the probability of being able to detect a difference, effect, or relationship (i.e., rejecting H0)

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11
Q

Two tailed (non-directional) test

A

he critical region is divided between the two tails of the distribution

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12
Q

Type I Error (False Positive)

A

Rejecting the null hypothesis when in fact there is no difference, effect, or relationship (i.e., when you should not have rejected it)

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13
Q

Type II Error (False negative)

A

Failing to reject the null hypothesis when in fact there is a difference, effect, or relationship (i.e., when you should have rejected it)

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14
Q

Statistical Power -reduces the risk of making a type II error

A

Probability of rejecting the null hypothesis when there is a difference, effect, or relationship (i.e., when you should)

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15
Q

A larger sample produces a small ________ and large ________

A

standard error and larger z

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16
Q

Larger standard deviation increases the_______ and produces a smaller ________

A

standard error and smaller z