Chapter 7 Flashcards

(29 cards)

1
Q

When do you use a z test?

A

When the population parameters are known

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2
Q

How are z tests and t tests similar?

A

Both are a probability distribution

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3
Q

What does the sampling distribution look like for a t test?

A

Symmetrical

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4
Q

True or false: t tests are affect by sample size?

A

True

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5
Q

What does a one sample t test do?

A

Compare a single sample mean with the population mean

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6
Q

What does a two sample t test do?

A

Compare two sample to one another

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7
Q

What are the two types of two sample t tests?

A

Independent/between and repeated/within

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8
Q

Example of independent measures?

A

People with and without pets, measure their stress level

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9
Q

Example of independent measures?

A

Collecting data before and after people try a weight loss diet

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10
Q

How do you find the population means with independent samples?

A

estimate by taking two samples

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11
Q

What distribution is created for an independent sample

A

A sample distribution of mean differences

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12
Q

What are other names for repeated measures t tests?

A

Paired t test, within subjects, matched, or dependent samples

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13
Q

What does a repeated measures t test do?

A

Measures the same sample over time

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14
Q

What does independent measures require?

A

Homogeneity of variance

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15
Q

What is the df for independent measures?

A

df = n1 + n2 -2

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16
Q

What is the df for repeated measures?

17
Q

When are findings significant?

A

When the null hypothesis is rejected?

18
Q

What does statistical significance say?

A

Whether the observed effect is likely to be due to chance only

19
Q

What does statistical significance not tell us?

A

The magnitude of the effect

20
Q

What is a criticism of hypothesis testing?

A

Results are sample size dependent

21
Q

What is effect size?

A

The magnitude or size of an effect

22
Q

What is raw metric?

A

Reports the effect size as the difference between the means

23
Q

Standardized mean differences

A

Uses Cohen’s d and represents the SD unit differences between groups

24
Q

What is percentage explained?

A

Uses R^2 and represents the proportion of variance that can be explained by the IV

25
What does Cohen's d do?
it was developed to encourage the reporting of effect size over p values
26
How do you calculate sample mean from effect size?
xt = u + (dxo)
27
What type of process is hypothesis testing?
Inferential
28
What error is Type I?
when you reject the null but it is actually true
29
What error is Type II?
Failing to reject the null when you can