using ststats to answer questions Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

what are predictions based off of?

A

correlation coefficient

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

correlation coefficient:

A

single number representing the degree of relation between two variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Pearson product- moment correlation coefficient is appropriate for:

A

interval or ratio scales of measurement

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

the interval or ratio scales of measurement ranges from:

A

-1.00 and +1.00

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

coefficient tells you both:

A

magnitude and direction of relationship

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

perfect positive correlation:

A

as the scores of one variable increase, the scores of the other variable of interest increase correspondingly and proportionally

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

zero correlation:

A

as the scores of one variable of interest increase, scores of the second variable either increase, decrease, or stay the same. no prediction possible

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

perfect negative correlation:

A

as the scores of the first variable of interest increase, scores of the second variable correspondingly and proportionally decrease

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

significant:

A

results would occur rarely due to chance alone. therefore like due to the manipulation of the IV

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

what does it mean to infer things about the population and sample?

A

do significance testing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

null hypothesis of example of gamer status and number of pairs of shoes:

A

the mean number of pairs of shoes owned by gamers DOES NOT DIFFER from the mean owned by non-gamers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

experimental hypothesis of example of gamer status and number of pairs of shoes:

A

the mean number of shoes owned by gamers DIFFERS from that owned by non gamers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

T-Test (difference between means):

A

used to evaluate the difference between 2 groups

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

experimental hypothesis can be

A

directional or non directional

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

two tailed:

A

probability of the result occurring by chance alone is split in half and distributed equally to the two tails of the distribution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

one tailed:

A

region of rejection is larger and only in one tail of the distribution

17
Q

type 1 error (alpha):

A

falsely accepting the experimental hypothesis (null hypothesis true)

18
Q

type 2 error (beta):

A

falsely rejecting the experimental hypothesis (experimental hypothesis true)

19
Q

effect size:

A

the magnitude of the difference regardless of whether it is significant or not. written in percentage moved to decimal

20
Q

20-.50 is:

A

small

21
Q

.50-.80 is:

A

medium

22
Q

less than .80 is:

A

LARGE