AP Stats Unit 3 Vocabulary

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Population

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29 Terms

1

Population

the entire group of individuals about which we want information about

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2

Sample

a subset of the population from which data are collected

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3

Convenience sample

choosing individuals who are easiest to reach

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4

Voluntary response sampling

people choose to be in the sample by responding to a general invitation

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5

Bias

a design that is very likely to underestimate or overestimate the value you are measuring

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6

Sampling without replacement

an individual from a population can be selected only once

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7

Sampling with replacement

a selected individual is placed back into the population and could be chosen a second time

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8

Simple random sample

a sample of size n selected from the population in such a way that each possible sample of size n has an equal chance of being selected.

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9

Stratified random sample

selects a sample by choosing a SRS from strata, groups that share something in common, and combining to make a sample.

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10

Cluster sampling

selects a sample by randomly choosing clusters, groups representative of the population, and including each member in the cluster

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11

Systematic random sampling

randomly select an arbitrary starting point and then select every kth member of the population

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12

Census

collects data from every individual in the population

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13

Undercoverage

occurs when some members of the population are less likely to be chosen in a sample

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14

Nonresponse

occurs when an individual chosen for the sample can't be contacted or refuses to participate

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15

Response bias

occurs when there is a consistent pattern of inaccurate responses to a survey question

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16

Observational study

observes individuals and measures variables of interest but does not attempt to influence the responses

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17

Experiment

deliberately imposes some treatment on individuals to measure their responses

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18

Response Variable

measures an outcome of a study

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19

Explanatory variable

may help explain or predict changes in a response variable

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20

Confounding

occurs when two variables are associated in such a way that their effects on a response variable cannot be distinguished from each other

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21

Treatment

a specific condition applied to the individuals in an experiment

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22

Factor

an explanatory variable that is manipulated and may cause a change in the response variable

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23

Completely randomized design

the experimental units are assigned to the treatments completely by chance

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24

Randomized block design

the random assignment of experimental units to treatments is carried out separately within each block

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25

Matched pairs design

A method of assigning subjects to groups in which pairs of subjects are first matched on some characteristic and then individually assigned randomly to groups.

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26

Comparison

an experiment needs to compare at least two groups

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27

Random Assignment

use random change to assign experimental units to treatments

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28

Control

keep other variables that might affect the response the same for all groups

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29

Replication

each treatment group has sufficiently enough experimental units

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