Statistics Chapter 1

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45 Terms

1

statistics

is the science of conducting studies to collect, organize, summarize, analyze, and draw conclusions

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2

variable

a characteristic or attribute that can assume different values

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3

data

the values a variable can assume

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4

random variables

variables whose values are determined by chance

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5

data set

collection of data values

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6

data value

each value in a data set

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7

population

all subjects that are being studied

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8

sample

a group of subjects selected from a population

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9

descriptive statistics

consists of the collection, organization, summarization, and presentation of data

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10

inferenctial statistics

generalizing from samples to populations, performing estimations and hypothesis tests, determining relationships among variables, and making predictions

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11

qualitative variable

variables that have distinct categories according to some characteristic or attitude

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12

quantitative variable

variables that can be counted or measured

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13

discrete variables

values that can be counted

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14

continuous variables

can assume an infinite number of values between any two specific values. they are obtained by measuring. they can often include fractions and decimals

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15

nominal level of measurement

classifies data into mutually exclusive (non-overlapping) categories in which no order or ranking can be imposed on the data

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16

ordinal level of measurement

classifies data into categories that can be ranked; however, in precise differences between the ranks do not exist

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17

interval level of measurement

ranks data, and precise differences between units of measure do not exist, but there is no meaningful zero. ratios of values are not meaningful

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18

ratio level of measurement

possesses all the characteristics of interval measurement, and there is a true zero. in addition, true rations exist when the same variable is measured on two different members of the population

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19

random sample

all members of the population have an equal chance of being selected

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20

systematic sample

a sample obtained by selecting every kth member of the population where k is a counting number

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21

stratified sample

a sample obtained by dividing the population into subgroups or strata according to some characteristic relevant to the study. the subjects are selected at random from each subgroup

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22

cluster sample

obtained by dividing the population into sections or clusters and then selecting one or more clusters at random and using members in the cluster(s) as the members of the sample

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23

sampling error

the difference between the results obtained from a sample and the results obtained from the population from which the sample was selected

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24

nonsampling error

occurs when the data are obtained erroneously or the sample is biased

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25

observational study

the researcher merely observes what is happening or what has happened in the past and tries to draw conclusions based on these observations

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26

cross-sectional study

all the data are collected at one time

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27

retrospective study

data are collected using records from the past

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28

longitudinal study

data are collected over a period of time, say, past and present

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29

experimental study

the researcher manipulates one of the variables and tries to determine how the manipulation influences other variables

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30

quasi-emperimental study

when random assignment is not possible, researchers use intact groups

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31

independent variable (explanatory variable)

the one that is being manipulated by the researcher

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32

dependent variable (outcome variable)

the resultant variable

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33

treatment group

the group or groups for which the independent variable receives manipulation

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34

control group

the group for which the independent variable is not manipulated

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35

confounding variable

is one that influences the dependent or outcome variable but was not separated from the independent variable

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36

blinding

subjects do not know whether they are receiving an actual treatment or the placebo

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37

double blinding

both the subjects and researchers are not told which group is given the placebo

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38

blocking

subjects are ordered into groups and then the treatment and placebo are randomly assigned within each group

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39

completely randomized

subjects are assigned to groups randomly and the treatments are assigned randomly

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40

matched-pair

one subject is assigned to a treatment group and another is assigned to a control group, but, before the assignment subjects are paired according to certain characteristics

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41

replication

when the same experiment is done in another part of the country or different laboratory in order to further validate the study results

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42

implied connections

use of words such as ā€˜may helpā€™ suggest a connection between variables that does not actually exist

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43

misleading groups

inappropriate graphs can misrepresent data and lead to false conclusions

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44

faulty survey

how questions are phrased in a way that influences the way people answer them

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45

changing the subject

using different values to represent the same data

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