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

A

Range

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
Q

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.

A

Positive skew

26
Q

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.

A

Negative skew

27
Q

Used to characterize the shape, central tendency, and variability within a set of data.

A

Descriptive Statistics

28
Q

measures of population characteristics

A

Parameters

29
Q

descriptive index from sample data

A

Statistics

30
Q

Measures of Variability

A

●Range - Minimum to maximum
●Percentiles and quartiles
●Box plots
●Variance
●Standard deviation
●Coefficient of variation

31
Q

Examples of Descriptive Statistics

A

Coin rotation test

32
Q

Shapes of Distributions

A

●Normal (B)
●Skewed to right (A)
●Skewed to left (C)

33
Q

Coin Rotation Test (CRT) measures

A

Frequency distribution and cumulative percent

34
Q

Box represents the interquartile range

Horizontal line at median

“Whiskers” show minimum and maximum scores

Shows group B more variable

A

Box plots

35
Q

Also known as a bell-shaped distribution or Gaussian distribution.

A

The normal distribution

36
Q

68% of the scores are within

A

1 SD of the mean

37
Q

95% of the scores are within

A

2 Sd of the mean

38
Q

99% of scores are within

A

3 Sd of the mean

39
Q

A standardized score based on the normal distribution

Allows for interpretation of a score in relation to the sample mean and variance

A

Z-scores

40
Q

standard deviation units

A

z