05/21/2024 Readings Flashcards

(38 cards)

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

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
specific, mathematically defined, bell-shaped frequency distribution that is symmetrical and unimodal; distributions observed in nature and in research commonly approximate it.
Normal Curve
26
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.
Kurtosis
27
Typical or most representative value of a group of scores
Central Tendency
28
Arithmetic average of a group of scores
Mean
29
Value with the greatest frequency in a distribution
Mode
30
middle score when all the scores in a distribution are arranged from lowest to highest
Median
31
Score with an extreme value (very high or very low) in relation to the other scores in the distribution
Outlier
32
Measure of how spread out a set of scores are; average of the squared deviations from the mean
Variance
33
Score minus the mean
Deviation Score
34
square of the difference between a score and the mean
Squared Deviation Score
35
total of each score’s squared difference from the mean
Sum of Squared Deviations
36
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
Standard Deviation
37
sum of squared deviations (variance formula)
summation (X-M)^2; SS/N
38