Statistics Flashcards

1
Q

Bell Curve

A

Normal distributions with mean of 100. 34.1% to right of middle and 34.1% to left of middle average

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2
Q

Mean

A

Average

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3
Q

Mode

A

that occurs the most

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4
Q

Median

A

Middle #

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5
Q

Negative skew

A

tail is on the left

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6
Q

Positive skew

A

tail is on the right

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7
Q

What is central tendency

A

tendency of scores to cluster around some central value

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8
Q

If test scores are positively skewed how would one create a better symmetrical distribution

A

by deleting tough questions and substituting them with easier ones

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9
Q

Standard Error of Measurement

A

how much difference to expect from one sample to another (same as confidence interval) repeated measures on same instrument distributed around true score

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10
Q

Standard Deviation

A

deviation from the mean. SD of 100 it is 15 points above or below for 1 SD

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11
Q

4 ways for test interpretaion

A

Standard Score-mean of 100; Scaled Score-raw score translated into comparable score, Mean of 10 SD of 3, T score, Percentile Rank

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12
Q

What is a T-score

A

normal distribution-likelihood of observations-how does data compare to what is expected. Mean of 50 and SD =10

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13
Q

Z score

A

how many SD a data point is from the mean in a normal distribution. ranges from -3 SD to +3 SD-way to compare results to a normal population

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14
Q

Effect Size

A

measurement of absolute magnitude. helps determine if the difference is real or due to change factors. strength of relationships between two variables

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15
Q

Dependent Variable

A

variable being observed and measured-event expected to change when independent variable is manipulated

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16
Q

Independent Variable

A

variable that is changed or manipulated

17
Q

Type 1 error

A

said there was an effect by wasn’t one. rejecting null hypothesis when it was actually true (False Positive)

18
Q

Type 2 error

A

There was an effect and you missed it-failing to reject the null hypothesis (False Negative)

19
Q

Null hypothesis

A

there is no significant difference

20
Q

Pearson Correlation Coefficient (r)

A

measure correlation varies b/w -1 and +1 effect size . effect size is low if value of r is around .1, medium if r varies around .3 and large if r varies more than .5

21
Q

Regression

A

used to measure predictions-determine the strength and character of relationships between one dependent variable (Y) and a series of other independent variable

22
Q

Cohen’s D

A

Used to measure effect size when you’re comparing a treatment to a control group

23
Q

internal reliability

A

measure of how consistently the items in a test measure the same concept

24
Q

external reliability

A

measure of a test to produce the same results over time and across different individuals.

25
Q
A