Statistics Sampling Review

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27 Terms

1

sampling

studying part of a group to gain information about the entire group

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2

voluntary response sample

a large group is invited to respond, those who respond are in the sample

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3

experiment

a treatment is imposed on a subject and a response is observed

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4

statistical inference

provides ways to answer questions, guaranteeing that the answers are accurate

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5

population

the group that is sought to be learned about

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6

sample

a subset of the population

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7

convenience sampling

choosing a sample of people easy to reach

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8

bias

a systemic failure of a sample to represent a population

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9

simple random sample

every subject has an equal chance of being picked for the sample next

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10

observational study

observes individuals and measures variables of interest, but doesn’t try to influence results

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11

experimental units

individuals on which an experiment is performed

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12

factors

explanatory variables

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13

placebo effect

response to any treatment with a dummy treatment because an outcome was expected

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14

control

treatments must be compared

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15

randomization

randomly assigning subjects to treatment groups

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16

completely randomized experimental design

all experimental units are randomly allocated among each treatment

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17

statistically significant

an observed effect too large to be attributed to chance

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18

replication

repeating each treatment on a large number of subjects to show systemic effects of the treatment

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19

3 principles of statistical design

control, randomization, replication

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20

hidden bias

not all experimental units are treated the same

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21

double blind

subjects and people with whom they interact shouldn’t know what treatment they got

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22

blocking

dividing subjects into groups that share similar characteristics

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23

matched pairs design

one person gets both treatments, or similar people are matched and each gets a different treatment

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24

stratified random sample

population is seperated into groups, and then people are taken from each group

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25

systematic random sample

every nth subject

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26

multistage sample

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27

cluster sample

groups of people are chosen at a time

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