Chapter 1-2 Flashcards

(46 cards)

1
Q

Mean

A

where the ave of the score are

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2
Q

Mean Squares

A

the average distance of all the points added up - then square it

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3
Q

Z-score

A

how many SD you are away from the mean

measurement of how far away you are from the mean

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4
Q

Median

A

middle number

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5
Q

Mode

A

the one that happens the most

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6
Q

Standard Deviation

A

spread of data around the mean
small -close to mean
big - further away
0 - same as mean

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7
Q

Variance

A

to calculate variance: { (xi - mean)^2 / (N-1)

a variance is: the average amount each score is away from the mean

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8
Q

Sum of Squares (SS)

A

total deviance of the mean all added together and squared it

total number of distance from mean

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9
Q

Deviance

A

how far away from the mean

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10
Q

Validity

A

Test measure what it is set out to measure

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11
Q

Reliability

A

||: exp - get sim. results

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12
Q

P-value

A

probability that the cause was random

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13
Q

Dependent variable

A

Outcome variable

thing that changed based on other things

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14
Q

independent variable

A

predictor variable

the thing you mess with

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15
Q

Confounding variable

A

the other things that could be influencing results

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16
Q

Counterbalancing

A

order of steps in exp, do all orders to get real results

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17
Q

Frequency distribution

A

how often scores appear and where in the graph

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18
Q

interquartile range

A

cut data into 4 pieces, distance inside middle area

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19
Q

Kurtosis

A

measures how much score cluster happens in an area

20
Q

Leptokurtic

A

Positive kurtosis too peaked

21
Q

Measurement error

A

your results vs. real results

22
Q

Negative skew

A

Tail is on the left

23
Q

Nominal variable

A

s on jerseys (don’t mean order)

24
Q

Ordinal variable

A

order: medals

25
Outcome variable
Dependent
26
Platykurtic
Flat
27
Positive skew
Tail is to the right
28
Skew
tails exist
29
Systematic variation
what we tested as the cause was the cause
30
Tertium quid
the unseen hand -
31
Variables
anything that changes
32
A-level (alpha symbol)
The probability of thinking that something happened when it didn't
33
Alternative hypothesis
Experimental hypothesis
34
B-level (beta symbol)
The probability thinking something didn't happen when it did.
35
Confidence interval
where we think the pop. value will fall - it's a percent
36
Degrees of freedom
n-1
37
Deviance
the difference between each score and the mean
38
Experimental hypothesis
alternative hypothesis
39
Linear model
This equation has a straight line.
40
Null hypothesis
The reverse of the experimental hypothesis - no, you're wrong, the other thing
41
Standard error of the mean (SE)
difference between your actual score and what the model predicted - figure out each one, add em together, then square it
42
Type I error
think something happened, it didn't
43
Type II error
thinking something didn't happen, but no
44
Calculate the Z-score
z= (data point score - mean) / standard deviation
45
Calculate the Standard Deviation
the square root of the variance variance is the average dispersion of the scores from the mean (don't forget to -1) to calculate variance: { (xi - mean)^2 / (N-1) to calculate SD: variance then square root the variation number
46
If the score on the test has a mean of 26 and a standard deviation of 4 what is the z score for 18
``` z = (data point score - mean) / SD z= 18-26 / 4 z = -2 (SD from 0) data point is below ```