05/21/2024 Readings Flashcards

1
Q

Number or Category

A

Value

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2
Q

Condition of characteristic that can have different values (Stress level, age, gender, religion)

A

Variable

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3
Q

A particular person’s value on a variable

A

Score

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4
Q

Variable whose values are numbers (as opposed to a nominal variable); also called a quantitative variable

A

Numeric Variable

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5
Q

variable in which the numbers stand for approximately equal amounts of what is being measured (GPA)

A

Equal-Interval Variable

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6
Q

An equal interval variable is measured on a ratio scale if it has an absolute zero point, meaning that the value of zero on the variable indicates a complete absence of the variable

A

Ratio Scale

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7
Q

a variable in which the numbers stand only for relative ranking (students standing in class)

A

Rank-Order Variable

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8
Q

a variable with values that are categories (that is they are names rather than numbers); categorical variable

A

Nominal Variable

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9
Q

Types of underlying numerical information provided by a measure such as equal-interval, rank-order- and nominal (categorical)

A

Levels of Measurement

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10
Q

Variable that has specific values and that cannot have values between these specific values

A

Discrete Variable

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11
Q

Variable for which in theory there are an infinite number of values between any two values

A

Continuous Variable

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12
Q

Ordered listing of number of individuals having each of the different values for a particular variable

A

Frequency Table

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13
Q

Range of values in a grouped frequency table that are grouped together (If the ___ size is 10, one of the ____ might be from 10 to 19)

A

Interval

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14
Q

Frequency table in which the number of individuals (frequency) is given for each interval of values

A

Grouped Frequency Table

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15
Q

Bar-like graph of a frequency distribution in which the values are plotted along the horizontal axis and the height of each bar is the frequency of that value;

A

Histogram

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16
Q

Pattern of frequencies over the various values; what a frequency table, histogram, or frequency polygon describes

A

Frequency Distribution

17
Q

Frequency Distribution with one value clearly having a larger frequency than any other

A

Unimodal Distribution

18
Q

Frequency distribution with two approximately equal frequencies, each clearly larger than any of the others.

A

Bimodal Distribution

19
Q

Frequency distribution with two or more high frequencies separated by a lower frequency; a bimodal distribution is the special case of two high frequencies.

A

Multimodal Distribution

20
Q

Frequency distribution in which all values have approximately the same frequency

A

Rectangular Distribution

21
Q

Distribution in which the pattern of frequencies on the left and right side are mirror images of each other

A

Symmetrical Distribution

22
Q

Distribution in which the scores pile up on one side of the middle and are spread out on the other side; distribution that is not symmetrical

A

Skewed Distribution

23
Q

Situation in which many scores pile up at the lowest end of a distribution (creating skewness to the right) because it is not possible to have any lower score

A

Floor Effect

24
Q

situation in which many scores pile up at the high end of a distribution (creating skewness to the left) because it is not possible to have a higher score.

A

Ceiling Effect

25
Q

specific, mathematically defined, bell-shaped frequency distribution that is symmetrical and unimodal; distributions observed in nature and in research commonly approximate it.

A

Normal Curve

26
Q

extent to which a frequency distribution deviates from a normal curve in terms of whether its curve in the middle is more peaked or flat than the normal curve.

A

Kurtosis

27
Q

Typical or most representative value of a group of scores

A

Central Tendency

28
Q

Arithmetic average of a group of scores

A

Mean

29
Q

Value with the greatest frequency in a distribution

A

Mode

30
Q

middle score when all the scores in a distribution are arranged from lowest to highest

A

Median

31
Q

Score with an extreme value (very high or very low) in relation to the other scores in the distribution

A

Outlier

32
Q

Measure of how spread out a set of scores are; average of the squared deviations from the mean

A

Variance

33
Q

Score minus the mean

A

Deviation Score

34
Q

square of the difference between a score and the mean

A

Squared Deviation Score

35
Q

total of each score’s squared difference from the mean

A

Sum of Squared Deviations

36
Q

square root of the average of the squared deviations from the mean; the most common descriptive statistic for variation; approximately the average amount that scores in a distribution vary from the mean

A

Standard Deviation

37
Q

sum of squared deviations (variance formula)

A

summation (X-M)^2; SS/N

38
Q
A