Unit 4 Flashcards

1
Q

The standard error of the mean (σX̅)

A

a function of standard deviation and sample size

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2
Q

Confidence Intervals

A

Range of sample data to determine a range of population means that are NOT significantly different from the sample mean

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3
Q

Point Estimate

A

a single value obtained directly from the sample data (i.e., the mean)

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4
Q

Interval Estimate

A

Range of sample data that we suspect (with a degree of confidence) within which the population mean resides

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5
Q

Confidence Interval (CI)

A

Range of scores with specific boundaries (confidence limits), that should contain the population mean

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6
Q

How to develop a confidence interval (CI)?

A

Capture 95% of the area under the “normal” distribution
This occurs at a standard deviation (z) of + 1.96.
Find: sample mean, and standard error of the mean

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7
Q

What happens if a sample size is small?

A
  • Usually performed with samples smaller than 30
  • Use the t-distribution, not z-distribution
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8
Q

Variability _______ with _______ sample sizes

A

Decreases, Larger

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9
Q

What does t-distribution depend on?

A

Sample size

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10
Q

Hypothesis

A

“a declarative statement that predicts that relationship between the independent and dependent variables, specifying the population will be studied.”

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11
Q

Research Hypothesis

A

states the researcher’s true expectation of results guiding the interpretation of outcomes and conclusions

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12
Q

Null (statistical) hypothesis - H0

A

proposes that there is no difference between certain characteristics of a population or data-generating process.

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13
Q

Alternative Hypothesis - H1 (HA)

A

one that states there is a statistically significant relationship between two variables

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14
Q

What is a research hypothesis?

A

Based on the physiology of aging, intelligence measurements, etc.

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15
Q

Sample size affecting a statistical power:

A

tighter distribution….. decrease β, increase power

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16
Q

Smaller sample size affecting a statistical power:

A

wider distribution……. Increase β, increase power

17
Q

Variability : large σ affecting statistical power

A

wider distribution of scores… will decrease statistical power

18
Q

Variability : Small σ affecting statistical power

A

tighter distribution of scores… will increase statistical power

19
Q

What is “statistical testing”?

A
  • Using established statistical “tests” (i.e., equations), to determine the acceptance or rejection of a null hypothesis
20
Q

What is a “

A

the difference between a raw score and the group (sample) mean divided by the standard deviation

21
Q

What is the one-sample z-test?

A

Determining if a sample is representative of the population

22
Q

Example of one-sample z-test:

A

Example: is the average salary of Toronto Raptors players different from all NBA players?