stat 2300 1.1-.3

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Tags and Description

32 Terms

1

individuals

the entities that we measure in a study

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2

population

the entire group to be studied

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3

census

the official count of a population, collecting data for every individual in a population

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4

sample

the subset of the population from which you are actually collecting data

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5

parameter

numerical summary of a population (usually unknown without census)

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6

statistic

a numerical summary of a sample

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7

descriptive statistics

methods for summarizing the collected data (where the data constitute either a sample or a population). They describe data through tables, graphs, and numerical summaries such as averages or percentages. Overview of the data

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8

inferential statistics

methods that take a result from a sample, extend it to the population, and measure the reliability of the result. contains uncertainty bc a sample cannot tell all population

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9

identity the research objective

1st process of stat

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10

Collect the data needed to answer the questions posed

2nd process of stat

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11

describe the data

3rd process of stat

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12

Perform inference

4th process of stat

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13

variable

any characteristic of the individuals within the population

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14

distribution

tells us what values it takes and how often it takes those values

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15

quantitive

observations take numerical values that represent different magnitudes of the variable

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16

Qualtitative

observation belongs to one of a set of categories

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17

nominal level

the variable name, label, or catagorize. the naming scheme does not allow for the values to be ranked or ordered.

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18

ordinal level

the properties of the nominal level of measurement but allows the values to be ranked or ordered

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19

interval level

the properties of the ordinal level of measurement but the differences in the values of the variable have meaning. zero doesn't not mean absence of the quantity. values can be subtracted or added

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20

ratio level

the properties of the interval level of measurement but the ratios of the values of the variable have meaning. zero doesn't mean absence of quantity. values can be meaningfully multiplied and divided.

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21

nominal and ordinal

qualitative

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22

interval and ratio

quantitative

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23

experiment

researcher assigns the individuals in the study to certain experimental conditions and then observed the out ones on the response variable of interest

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24

treatments

the experimental conditions imposed by the experimenter

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25

observational study

the researcher observes and records the behavior of the individuals in the study without imposing any conditions on the study participants

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26

lurking variable

a variable that is not among the explanatory or response variables in a study but that may influence the response variable (observational)

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27

causation association

in observational studies you cannot claim ____ only _____

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28

cause

in experiments you can identify certain ____ and effect relationships amount the variables in the study

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29

representative sample

exhibits characteristics typical of those possessed by the population of interest

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30

chance

best to get representative sample

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31

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. (drawing names from hat)

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32

random number generator

A tool used to ensure unbiased sampling points are chosen.

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