Chapter 1: Introduction to Statistics

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19 Terms

1

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Ln;, background I/ nd / J is /

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population

the set of all individuals of interest in a particular study

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8

sample

a set of individuals selected from a population - intended to represent the pop

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9

statistic

a # that describes a sample; derived from measurements of individuals in a sample

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10

parameter

a # that describes a population

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11

descriptive statistics

summarize, organize, simplify data

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12

inferential statistics

make generalizations about the population

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13

sampling error

the discrepancy that exists between a sample statistic and the corresponding population parameter

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14

the correlational method

one group of participants, measurement of 2 variables for each participant, goal is to describe type and magnitude of relationship

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15

experimental method

comparing 2 or more groups of a variable, goal = demonstrate a cause-effect variable

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16

constructs

internal attributes or characteristics that can't be directly observed

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17

operational definitions

identifies the set of operations required to measure an external behavior

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18

discrete variable

has separate, indivisible categories; no values can exist b/w 2 neighboring categories (whole #s)

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continuous variable

infinite # of possible values b/w any 2 observed values, every interval is divisible into an infinite # of equal parts

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