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kine 450 > quiz 3 review > Flashcards

quiz 3 review Flashcards

1
Q

step 1 of hypothesis testing

A

ID statement of the problem

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2
Q

step 2 of hypothesis testing

A

ID statistical analysis

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3
Q

step 3 of hypothesis testing

A

ID statistical or null hypothesis
(no significant differences)

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4
Q

step 4 of hypothesis testing

A

ID alternative hypotheses

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5
Q

step 5 of hypothesis testing

A

determine your alpha level

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6
Q

step 6 of hypothesis testing

A

collect data

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7
Q

step 7 of hypothesis testing

A

draw a normal curve

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8
Q

step 8 of hypothesis testing

A

determine table critical values

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9
Q

step 9 of hypothesis testing

A

run statistical analysis

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10
Q

step 10 of hypothesis testing

A

plot results on the normal curve and determine results

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11
Q

p = 0.05

A

95% confident
5% chance type 1 error

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12
Q

p = 0.01

A

99% confident
1% chance of type 1 error

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13
Q

p = 0.10

A

90% confident
10% chance of type 1 error

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14
Q

normal distribution: mean median and mode are

A

all the same

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15
Q

normal distribution: the greatest number of scores will be

A

in the middle and represent the highest point of the bell curve

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16
Q

standard deviation

A

variability of scores in relation to the mean

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17
Q

median

A

middle score

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18
Q

mode

A

most occuring score

19
Q

inferential statistics

A

statistics that allow the researcher to draw conclusions about the target population based on the sample data collected

20
Q

inferential stats: parametric stats

A

are calculated for research variables that are interval or ratio level data and the sample collected assumes there is a normal distribution for purposes of generalizing to the population.

21
Q

inferential stats: non-parametric stats

A

are calculated for research variables that are ordinal level data or the sample collected does not assume a normal distribution.

22
Q

type 1 error

A

incorrect rejection of the null hypothesis when in fact the null hypothesis is true within the population

23
Q

type 2 error

A

incorrect acceptance of the null hypothesis when in fact the null hypothesis is false within the population.

24
Q

correlation research design

A

focus on determining the relationship among two continuous variables or how much the predictor variable influences the criterion variable.

25
Q

correlation coefficients range from

A

-1 to 1

26
Q

.2 - .5 correlation =

A

weak

27
Q

1 correlation coefficient =

A

perfect relationship

28
Q

independent groups

A

include subjects who were each measured once, and the groups are mutually exclusive.

29
Q

repeated measures groups

A

: include subjects who were tested at all levels
- pre and post test
- acts as own control
- baseline measures

30
Q

independent group t test

A

independent variable has 2 levels

31
Q

one way analysis of variance (ANOVA)

A

just like a t test but IV has 3+ levels

32
Q

ANOVA: F ratio

A

true variance/error variance

33
Q

ANOVA: analyze the variation in scores ____ and ____ groups to determine differences

A

between; within

34
Q

F = 1

A

a good thing
probably have significance

35
Q

F > 1

A

significance

36
Q

paired samples t test

A

repeated measures w/ IV = 2 levels

37
Q

repeated measures ANOVA

A

multiple IV levels over multiple time points
- changes over time

38
Q

factorial ANOVA

A

interaction between more than one IV, each with their own number of levels
- ex: 3x2

39
Q

step 1 in managing qual data

A

organizing data

40
Q

step 2 in managing qual data

A

immersion in data

41
Q

step 3 in managing qual data

A

generating categories and themes

42
Q

step 4 in managing qual data

A

coding

43
Q

step 5 in managing qual data

A

offering interpretations through memos

44
Q

step 6 in managing qual data

A

searching for alternative understanding

kine 450 (9 decks)

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