Data Management - Unit 1 - Terms

Front 1

It is a summary level data. It is the result of applying statistical analysis to micro-level data

Back 1

Aggregate Data

Front 2

Graphs which are similar to histograms, except that the bars are separated.

Back 2

Bar graphs

Front 3

Systematic error or undue weighting in a statistical study

Back 3

Bias

Front 4

A graph that summarizes a set of data by representing the first wartime, the median, and the third quartile with a box and, the lowest and highest data with the ends of lines extending from the box

Back 4

Box-and-Whisker Plot

Front 5

Data that can be sorted or divided by type rather than by numerical data

Back 5

Categorical Data

Front 6

A survey of selected groups within a population. This sample technique can save time and expense, but may not give reliable results unless the groups are representative of the population

Back 6

Cluster sampling

Front 7

Involving a variable or data that can have an infinite number of possible values in a given interval. Data resulting from the measurement of a quantity. It is data that is measurable with real numbers

Back 7

Continous Data

Front 8

The group for which the independent variable is held constant in an experiment or statistical study

Back 8

Control Group

Front 9

A sample selected simply because it is easily accessible. Such samples may not be random, so their results are not always reliable.

Back 9

Convenience Sample

Front 10

A summary statistic that gives a quantified measure of the linear relationship between two variables

Back 10

Correlation Coefficient

Front 11

A bias where the sample targets a particular "culture". For example, conducting a survey of people attending a symphony

Back 11

Cultural bias

Front 12

A frequency distribution which totals the frequencies of each class as you move down the column. It indicates the number of observations that are less than or equal to the current class

Back 12

Cumulative Frequency Distribution

Front 13

A distribution which totals the percentages of each class as you move down the column. They indicate the percentage of observations that are less that or equal to the current class

Back 13

Cumulative Relative Frequency Distribution

Front 14

A variable whose value depends on the independent variable

Back 14

Dependent variable

Front 15

The difference in value between a datum and the mean

Back 15

Deviation

Front 16

Data derived from an enumeration or count. I tis data that can be described using whole numbers

Back 16

Discrete Data

Front 17

Data produced by an experimental design. I could be quantitative or qualitative data depending on the investigation

Back 17

Experimental Data

Front 18

Variables that affect either the dependent or independent variable. They are external rathar than irrelevant

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Extraneous variables

Front 19

Estimating variable values beyond the range of data

Back 19

Extrapolation

Front 20

A bar graph in which the areas of the bars are proportional to the frequencies for various values of the variable. The bars in this graph are connected and represent a continuous range of data

Back 20

Histogram

Front 21

A proposition or thesis that is assumed to be true in order to investigate its validity

Back 21

Hypothesis

Front 22

A variable whose value is arbitrarily chosen

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Independent variable

Front 23

Estime a value between two known values

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Interpolate

Front 24

The range of the central half of a set of data when the data are arranged in numerical order

Back 24

Interquartile range

Front 25

A question which prompts a particular answer

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Leading Question

Front 26

The straight line that passes closest to the data points on a scatter plot and best represents the relationship between two variables

Back 26

Line of Best Fit

Front 27

The sum of values in a set of data divided by the number of values

Back 27

Mean

Front 28

A bias which occurs when the data-collection method consistently either under-or over-estimates a characteristics of the population

Back 28

Measurement bias

Front 29

The values around which a set of the data tends to cluster

Back 29

Measures of Central Tendency

Front 30

Quantities that indicate how closely a set of data clusters around its central values

Back 30

Measures of spread

Front 31

The middle value of a set of data ranked from highest to lowest

Back 31

Median

Front 32

Includes data of all sorts of individual objects

Back 32

Micro Data

Front 33

The value in a distribution or set of data that occurs most frequently

Back 33

Mode

Front 34

A sampling technique that uses several levels of random sampling

Back 34

Multi-stage sampling

Front 35

Data that is categorical, however the categories are assigned labels such as numbers, The order of the categories is arbitrary

Back 35

Nominal Data

Front 36

A bias which occurs when particular group are underrepresented in a survey bc they choose not to participate. This bias is a form of sampling bias

Back 36

Non-response bias

Front 37

Data that can be represented by numbers

Back 37

Numerical Data