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46 Terms

1

population

a group of individuals we want info about

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2

census

collects data from every individual in the population

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3

sample

subset of individuals selected from the larger population from which we collect data

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4

sample survey

a study that collects data from a sample to learn about the population from which the sample was selected

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5

bias

is shown if a study is likely to underestimate or overestimate the value you want to know

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6

convenience sampling

selects individuals from the population who are easy to reach

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7

voluntary response sampling

allows people to choose to be in the sample

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8

random sampling

selects individuals using a chance process to determine which members of a population are included in the sample

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9

single random sample (SRS)

a sample of size N is chosen in a way that every group of N individuals in the population has an equal chance to be in the sample

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10

sampling without replacement

an individual from a population can be selected only once

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11

sampling with replacement

an individual from a population can be selected more than once

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12

strata

groups of individuals in a population who share characteristics thought to be associated with the variables being measured in a study

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13

stratified random sampling

selects a sample by choosing a single random sample (SRS) from each stratum (groups of similar people) and combining the SRSs into one overall sample (a ring around the stadium)

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14

cluster

a group in the population that are near each other

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15

cluster sampling (a type of convenience sampling)

selects a sample by randomly choosing clusters and including all members of the selected clusters in the sample (one section from each price point)

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16

systematic random sampling

selects a sample from an ordered arrangement of the population by randomly selecting one of the first K individuals and choosing every Kth individual thereafter

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17

undercoverage bias

occurs when some members of the population are less likely to be chosen or cannot be chosen in a sample

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18

response bias

when there is a systemic pattern of inaccurate answers to a survey question

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19

nonresponse bias

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

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20

observational study

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

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21

experiment

deliberately IMPOSES some treatment on individuals to measure their responses

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22

explanatory variable

helps explain or predict changes in a response variable (what theyre DOING to the subject)

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23

response variable

measures an outcome of a study (the EFFECT of what theyre doing)

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24

confounding

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

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25

placebo

a treatment that has no active ingredient

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26

placebo effect

when some subjects in an experiment respond favorably to an inactive treatment

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27

treatment

a specific condition applied to the individuals in an experiment

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28

experimental unit (EU)

the object the treatment is assigned (subjects when human)

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29

factor

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

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30

levels

different values of a factor

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31

control group

provides a baseline for comparing the effects of other treatments (often given a placebo)

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32

single-blind

when EITHER the subjects or those who interact with them know which treatment a subject recieved

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33

double-blind

when NEITHER subjects nor the people who interact with them know which treatment a subject recieved

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34

comparison (part of CRCR)

comparing two treatments

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35

random assignment (part of CRCR)

EU are assigned to treatments by CHANCE

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36

control (part of CRCR)

keeping all other variables constant

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37

replication (part of CRCR)

giving each treatment to enough EUs so that a difference in effects can be distinguished from chance variation

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38

completely randomized design

when EUs are assigned to treatments at random

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39

block

a group of experimental units that are known to be similar in some way that will affect results

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40

randomized block design

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

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41

matched pair design

a design to compare 2 treatments using blocks with 2 EUs each.

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42

type 1 of matched pair design

the two treatments are randomly assigned WITHIN the EUs

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43

type 2 of matched pair design

each EU receives BOTH treatments in random order

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44

sampling variability

refers to the fact that different random samples of the same size from the same population produce different samples

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45

statistically significant

when the results are to unusual to be explained by chance (1-5%)

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46

inference

can be made when samples are randomly selected

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