exam 2 Flashcards

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1
Q

estimated standard error of the mean

A

estimated sd of sample

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2
Q

one sample t test

A

tool that allows us to learn whether a sample differs from the population from which it is drawn when sd is not known

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3
Q

independent t test

A

tool that compares means of two mutually exclusive groups

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4
Q

between subject design

A

experimental design in which participants are randomly assigned to one and only one experimental group

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5
Q

standard error of the difference between the means

A

standard deviation of a difference between two groups

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6
Q

effect size

A

measure of how powerful relationship between variables is

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7
Q

confidence interval

A

interval estimate that contains the population mean a certain percentage of time based on repeated sampling of that population

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8
Q

paired sample t test

A

comparing two means derived from same sample

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9
Q

within subject design

A

research where participants answer two questions, the answers to which will be compared

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10
Q

difference score

A

number that is the difference between a person performance in one experimental condition and his or her performance in a second experimental condition

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11
Q

standard error of the difference scores

A

sd of mean difference scores within a sample

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12
Q

conditions/ values/ levels

A

term used to denote the number of groups in an experiment

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13
Q

bonferroni adjustment

A

dividing .05 alpha by the number of statistical comparisons being made, this controls the chance of making a type 1 error

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14
Q

family-wise type 1 error

A

likleyhood of detecting at least on statistically significant result when conducting multiple statistical tests. called family wise because it is error rate for a series of statistical tests

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15
Q

Anova

A

tool used to compare means of three or more groups

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16
Q

one way anova

A

between subjects, one independent variable and each participant is assigned on experiment level

17
Q

error variance

A

amount of variability between scores resulting from uncontrolled variables

18
Q

within group variability

A

amount of variability between scores winthin each experimental group

19
Q

grand mean

A

all scores averaged

20
Q

between group variability

A

amount of variability between scores across groups

21
Q

partial eta squared

A

effect size in anova

22
Q

tukey HSD post hoc test

A

procedure used after an f ratio is calculated. this procedure allows us to learn which group means are significantly different from one another