Z-scores, T-tests, etc Flashcards

1
Q

raw score, sample mean, SD,

A

Z-score

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2
Q

(raw score-s.mean)/SD

A

z-score

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3
Q

SD, number of samples

A

Standard error

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4
Q

it gives an estimate of the precision of the sample mean

A

standard error

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5
Q

sample mean, hypothesized population mean, population SD, sample size

A

Z-test

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6
Q

How to find a raw score from a z-score?

A

raw score= (Z-score*SD)+ s.mean

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7
Q

(s.mean - p.mean)/(pop standard deviation/√sample size)

A

Z-test

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8
Q

Do we use Z-score or T-test when the population Standard Deviation is unknown?

A

T-test

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9
Q

Do we use Z-score or T-test when the sample size is smaller than 30?

A

T-test

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10
Q

(sample mean-population mean)/(sample standard deviation/√sample size)

A

T-test

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11
Q

Which way does the <> face for one way decision criteria?

A

>

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12
Q

How do you calculate the SD for a sample?

A

Use excel lol

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13
Q

what are the steps for such a problem: For a normally distributed set of scores, what percentage of raw scores fall between a z-score of +0.83 and a z-score of +2.15?

A
  1. find p-value in z-table for both

2. smaller number- larger number

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14
Q

Does a z p-value show the percentage of all the scores on the left or on the right of the score

A

on the left of the score

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14
Q

How to find the decision criteria, z-tests and t-tests?

A

Look in the z/t table for score that correlates to the alpha/significance level you’re searching for. (.05, .025, etc)

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15
Q

If you are doing a two tailed test and the significance level is .05 how should you find your decision criteria?

A

Search for .025 in the relevant table

16
Q

How to find the decision criteria for chi-square?

A
  1. calculate DF =(row-1)(column-1)

2. find the value at the intersection of the probability/significance level/alpha

17
Q

Why do we use ANOVA and not T-tests?

A

Type I Error rate compounds if we compare 3 or more tests using T-tests.

18
Q

Why do we want a big number from an ANOVA test?

A

If it’s big then the means of each sample are far apart and the distributions are small/narrow

ANOVA= variance between distributions/variance within distribution

19
Q

What is the result that comes out of an ANOVA called?

A

F-test statistic

20
Q

What do chi and ANOVA have in common?

A
  • Want big number as result

- Positive skew (no neg numbers)

21
Q

What do chi and ANOVA have in common?

A
  • Want big number as result

- Positive skew (no neg numbers)

22
Q

Difference between one-way and factorial ANOVA?

A

1-way has one independent variable (IV)

Factorial is 2+

23
Q

Maximum amount of independent variables you’ll normally see in an experimental deisgn?

A

3, more and it get’s quite complicated

24
Q

Can a Z value be negative?

A

no