Summer Vocabulary Flashcards

1
Q

Variable

A

A given value, and or digit, in a set of data.

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2
Q

Categorical Variable

A

Value represented by groupings and items other than numbers.

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3
Q

Quantitative Variable

A

Value represented numerically.

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4
Q

Population

A

Entire grouping from which a sample can be drawn.

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5
Q

Sample

A

Randomly selected items used to test hypothesis’ about a given population.

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6
Q

Census

A

Gathering of information from a whole population.

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7
Q

Distribution

A

The spread of distance of a data set.

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8
Q

Inference

A

Drawing conclusions about a population based on data gathered from a sample.

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9
Q

Frequency Table

A

A graph used to show the frequency of how often given values occur in a data set.

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10
Q

Relative Frequency

A

The fraction of times a value occurs in a data set.

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11
Q

Table

A

Chart/Graph used to show data categorically as well as numerically.

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12
Q

Round-off Error

A

The difference between the exact answer and the arithmedtic average.

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13
Q

Pie Chart

A

Circular graph used to show data, usually represented in percentages.

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14
Q

Bar Graph

A

Graph used to show data in the form of vertical bars representing digits of ranges of digits given.

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15
Q

Two-Way Table

A

Graph used to display the frequency of two categorical variables.

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16
Q

Marginal Distribution

A

Describes only one of the random variables.

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17
Q

Dotplot

A

Graph where any given value is represented as a dot along an axis.

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18
Q

Mode

A

The data value which occurs most in any given data set.

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19
Q

Outlier

A

A value that is an extreme deviation from the mean of the data set.

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20
Q

Center

A

Describes the relation of the median to other aspects of the graph.

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21
Q

Spread

A

Term which describes the range of data graphically.

22
Q

Range

A

The space between the lowest value and highest value of any given data set.

23
Q

Symmetric

A

Describes a data set that is evenly distributed, where if cut down the middle both sides match one another.

24
Q

Skewed Right

A

Data lies mainly on the right side of a data set.

25
Q

Skewed Left

A

Data lies mainly on the left side of a data set.

26
Q

Unimodal

A

A distribution with a single most common value.

27
Q

Bimodal

A

A distribution with two most common values.

28
Q

Multimodal

A

A distribution with multiple most common values.

29
Q

Stemplot

A

A graph plot used to represent Quantitative data, with leading values shown as stems and second digits shown as leaves.

30
Q

Histogram

A

A bar graph that displays the frequency of any given data within equal intervals.

31
Q

Mean

A

The average value of a data set, found by adding together all values and dividing by the number of values in a set.

32
Q

Median

A

The middle score in any given distribution.

33
Q

Interquartile Range (IQR)

A

The range of the middle 50% of a data set, found by.. Q3-Q1= 75th percentile to the 25th percentile.

34
Q

Five-Number Summary

A

Summary of a data set, (Min value, Q1, median, Q3, Max value)

35
Q

Boxplot

A

Also known as a box and whisker plot, A Graph the represents the 5 value summary of a dataset, including the IQR, Mean, Median, Mode, and Range.

36
Q

Standard Deviation

A

Measure of variability which declares all values average distance from the mean.

37
Q

Variance

A

The average of the squared deviations from the mean of the set.

38
Q

Individuals

A

The objects described by a set of data.

39
Q

Discrete Variables

A

A variable whose value is found by counting numerically.

40
Q

Continuous

A

A variable whose measure is obtained via measurement.

41
Q

Univariate Data

A

A study with only one focus.

42
Q

Bivariate Data

A

A study with two focuses.

43
Q

Conditional

A

The probability of an occurrence given a prior occurrence.

44
Q

Distribution

A

The observation of a set of values from some measure that is taken.

45
Q

Segmented Bar Graph

A

A graph that shows frequency distribution for a categorical data set.

46
Q

Side-by-side Bar Graph

A

Used to show multiple variable groups, with multiple bar segments per categorical finding.

47
Q

Association

A

Shows a relationship between two quantitative variables, in the same experimental case.

48
Q

Simpson’s Paradox

A

Also known as the “Yule-Simpson Effect”, Occurs when the marginal association between two categorical variables is qualitatively different from the partial association between the same two variables.

49
Q

Shape

A

A visual description of the distribution/skew of a data set via a graphical depiction.

50
Q

Splitting Stems

A

A stem plot where each category(stem) is split into two categories.

51
Q

Back-to-Back Stem Plots

A

A method of comparing two data distributions by attaching two sets of leaves to the same “stem”.