Regression Analysis

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20 Terms

1

Hypothesis

A proposed explanation for a fairly narrow phenomenon or set of observations.

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2

Theory

A set of principles that is well substantiated by repeated testing and explains a broad phenomenon.

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3

Independent Variable

Variables that do not depend on any other variables.

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4

Dependent Variable

Variables that depend on independent variables.

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5

Nominal Scale

A scale where data can be categorized into different, unrankable groups.

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6

Ordinal Scale

A scale where data can be categorized into different, rankable groups.

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7

Interval Scale

A scale with rankable values in which value differences are meaningful, but not value ratios.

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8

Ratio Scale

A scale with rankable values where both value differences and value ratios are meaningful.

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9

Validity

An investigation of whether the question we are asking actually measures what we wish to measure.

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10

Reliability

An investigation of whether the measurement is free from errors.

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11

Population

The whole group we wish to investigate.

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12

Sample

A subset of the population, ideally chosen at random.

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13

Graphical Methods

Methods used after collecting data to summarize it; includes pie charts, bar charts, and box plots.

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14

Mean

The average value in a data set.

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15

Median

The middle value of a data set when organized in order.

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16

Mode

The value that occurs most frequently in a data set.

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17

Variance

A statistical measurement of the spread between numbers in a data set.

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18

Standard Deviation

A measure of how dispersed the data is in relation to the mean.

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19

Normal Distribution

A continuous probability distribution where values lie in a symmetrical fashion around the mean.

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20

Standard Normal Distribution

A normal distribution with a mean of zero and standard deviation of one.

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