Brown Ch 4; Portney Ch 22 Flashcards

1
Q

M, x

A

mean of a sample

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2
Q

M (sd)

A

Mean and standard deviation of a
samples

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3
Q

s, sd, o

A

standard deviation of a sample

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4
Q

s2

A

Variance of a sample

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5
Q

N, n

A

Number of participants

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6
Q

provide an analysis of the data that helps describe, show, or summarize it in a meaningful way such that patterns can emerge

A

Descriptive statistics

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7
Q

techniques that allow us to use study samples to make generalizations that apply to the population

A

Inferential statistics

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8
Q

used to describe how often something occurs.
•Typically, the actual number or count is provided, along with a percentage.

A

Frequencies

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9
Q

the count that indicates how often something occurs within a given interval

A

frequency distribution

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10
Q

presents the data in columns and rows so it can be interpreted horizontally and vertically.

•Graphs present information pictorially, allowing the reader to “see” patterns.

A

frequency table

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11
Q

frequency distribution represented in a bar graph.
•The vertical (y) axis identifies the frequency with which a score occurs.
•The horizontal (x) axis presents the values of the scores.

A

histogram

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12
Q

only appropriate for representing frequencies when all of the “slices,” or categories, of the pie total 100%

A

Pie chart

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13
Q

describes the location of the center of a distribution.

A

Measure of central tendency

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14
Q

value that occurs most frequently in the distribution

A

Mode

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15
Q

the same as the average and balances the scores above and below it

A

Mean

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16
Q

the score value that divides the distribution into the lower and upper halves of the scores

A

Median

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17
Q

the spread of the data and is another way to compare data sets

A

Variability

18
Q

measure of variability that indicates the lowest and highest scores

19
Q

the expression of the amount of spread in the frequency distribution and the average amount of deviation by which each individual score varies from the mean

A

Standard deviation

20
Q

an estimate of the standard deviations of multiple samples

A

Standard error of the mean

21
Q

Distributions of scores differ in terms of …

A

their measures of central tendency and variability

22
Q

The central tendency and variability of a data set provide…

A

important information for understanding a particular distribution of scores

23
Q

In a normal distribution, data points are distributed in a

A

symmetrical, bell-shape curve

24
Q

the spread of scores lacks symmetry, such that one end of the curve is longer than the other

A

Skewed distribution

25
mode is a lower score than the mean, and the median falls between the mode and mean; there are more low scores, and the right tail is longer.
Positive skew
26
mode is a higher score than the mean, and the median falls between the mode and mean; there are more high scores, and the left tail is longer.
Negative skew
27
Used to characterize the shape, central tendency, and variability within a set of data.
Descriptive Statistics
28
measures of population characteristics
Parameters
29
descriptive index from sample data
Statistics
30
Measures of Variability
●Range - Minimum to maximum ●Percentiles and quartiles ●Box plots ●Variance ●Standard deviation ●Coefficient of variation
31
Examples of Descriptive Statistics
Coin rotation test
32
Shapes of Distributions
●Normal (B) ●Skewed to right (A) ●Skewed to left (C)
33
Coin Rotation Test (CRT) measures
Frequency distribution and cumulative percent
34
Box represents the interquartile range Horizontal line at median “Whiskers” show minimum and maximum scores Shows group B more variable
Box plots
35
Also known as a bell-shaped distribution or Gaussian distribution.
The normal distribution
36
68% of the scores are within
1 SD of the mean
37
95% of the scores are within
2 Sd of the mean
38
99% of scores are within
3 Sd of the mean
39
A standardized score based on the normal distribution Allows for interpretation of a score in relation to the sample mean and variance
Z-scores
40
standard deviation units
z