qualitative revision

Question 1

independent varibale

Answer 1

the one we manipulate

Question 2

dependent variable

Answer 2

the one we hypothesise about what we measure

Question 3

nominal data

Answer 3

variables with different values.
(eg: green eyes)
yes and no

Question 4

ordinal data

Answer 4

data can be ordered in a scale (1st/2nd/3rd)

Question 5

interval data

Answer 5

set in stone values (IQ)

Question 6

sampling

Answer 6

portion of the population

Question 7

population

Answer 7

a group of persons that have a common characteristic

Question 8

what sampling method do you use to represent a population

Answer 8

random sampling

Question 9

in reality what samplin is done

Answer 9

take whoever volunteers

Question 10

to test a hypothesis what 2 things do we need to compare

Answer 10

pre v post group
treatment v control group

Question 11

independent mesures

Answer 11

two sperate group

Question 12

paired meaure

Answer 12

one group measured twice

Question 13

central tendency

Answer 13

mean
median
mode

Question 14

measires of varience

Answer 14

standard deviation
histograms
standard error

Question 15

normal distribution

Answer 15

positive up the ladder to slide
negative walk up the slide

Question 16

probability

Answer 16

0-1 scale
0-100%
p=0.50

Question 17

what does p = 0.05

Answer 17

5% chance of something happening

Question 18

what do journal articles report at

Answer 18

less than 5 p<0.05

Question 19

what do we use inferentual statistics for

Answer 19

-objectively interpret data
-make inferences about popualtion
-draw conclusions

Question 20

what is a null hypothesis

Answer 20

no difference in the population
any numerical difference is by chance

Question 21

what is the highest p value we reject

Answer 21

alpha - 0.05

Question 22

examples of ratio variables

Answer 22

weight/height/vo2max

Question 23

what is validity

Answer 23

the study measures what you actually tend to measure

Question 24

how do we measure varience

Answer 24

standard deviation

Question 25

what is statistical power

Answer 25

probability of something being correct

Question 26

nonparametric tests

Answer 26

wilcoxon and mann-whitney U test

can be used with any distribution
-ordinal
-interval
-ratio

Question 27

parametic tests

Answer 27

use even more information meaning they have greater power

Question 28

sign test parametric what more info does it use

Answer 28

are scores higher or lower
-+

Question 29

signed rank test (wilcoxon)uses

Answer 29

-are scores higher or lower
-are the differences greater for the “higher” scores for the “lower” scores

Question 30

t test

Answer 30

-are scores higher or lower
-more higher or more lower then get the difference
-assume that data is normally distributed

Question 31

requirements for parametric test

Answer 31

-data has to be normally distributed
-data habe to be inteval or ratio
-the varience of the sample must be similar

Question 32

2 types of varibality

Answer 32

-between subject variability
-witin-subject variability

Question 33

between subject variability

Answer 33

-different subjects will have different scores for a particular variable
-there is variablity BETWEEN subjects

Question 34

within-subject variability

Answer 34

-when you measure a given subject more than once, you will get different results.
-but this variability is usually less than between subjects