Chalter 3+4 Flashcards

(40 cards)

1
Q

Central tendency

A

The most typical, central, or common score of a variable

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2
Q

3 measures of central tendency

A

Mean
Median
Mode

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3
Q

Mode

A

Most common score

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4
Q

Median

A

Score of the middle case

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5
Q

Mean

A

Average score

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6
Q

Dispersion

A

Variety, diversity, or amount of variation between scores

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7
Q

Measures of dispersion

A

Index of qualitative variation
Range, interquartile range
Variance, standard deviation

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8
Q

Mind the median

10,10,8,7,5,4,2

A

7

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9
Q

Find the range
10,10,8,7,5,4,2

A

10-2=8

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10
Q

A

Mean

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11
Q

Calculate x̄

10,20,30,40,50

A

150 ➗5= 30

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12
Q

What scores does the mean use

A

All scores

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13
Q

What is a skewed distribution

A

Pulling the mean

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14
Q

Positive skewed distribution

A

Pulls the mean to the right

Mean> median

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15
Q

Negative skewed distribution

A

Pulls the mean to the left

Mean< median

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16
Q

Unskewed distribution

A

In the middle

Mean= median

Doesn’t happen in fact

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17
Q

Standard deviation

A

Average distance of each score to the mean

18
Q

Variance

A

Square of standard deviation

19
Q

3 characteristics of standard deviation

A

Use all score in a distribution
Lowest possible value is 0
Increase in value as distribution

20
Q

How to find standard deviation (5)

A
  1. Subtract mean from each score
  2. Square each deviation
  3. Add squared deviations
  4. Divide the sum of squared deviations by the # of scores
  5. Find the square root of the result
21
Q

Characteristics of the normal curve

A

-bell shape
-symmetrical/ unimodal
-theoretical

22
Q

Units for z scores

A

Units of standard deviation

23
Q

What level of measurement is used for z-scores

A

Interval ratio

24
Q

2 characteristics of under the normal curve

A

Above or below a given score
Between two given scores

25
Where to look to find the area above and below z positive or negative
26
Example of a discrete variable
Rolling a die
27
Example of a continuous variable
Body weight
28
What is a normal curve
A bell shaped theoretical distribution of scores
29
What is probability
Ratio of number of success to number of possible events
30
Percentage between -1 & +1 SD
68.26
31
Percentage between -2 & +2 SD
95.44%
32
Percentage between -3 & +3 SD
99.72%
33
What is a Z-score
The way scores are expressed after they have been standardized to the theoretical normal curve
34
Index of qualitative variation
Amount of variation observed in a distribution of normal or ordinal-level variables scores to the maximum variation that could exist
35
outliers
Extreme high or low scores in a distribution
36
interquartile range
distance from the 3rd quartile to the 1st quartile
37
5 number summary
lowest score highest score median 1st quartile 3rd quartile
38
deviations
distance between the scores and mean
39
mean deviation
average of absolute deviations of the scores around the mean
40
coefficient of variation
ratio of SD to the mean