Stats Key Terms 1

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STA2023 Week 1 key terms

31 Terms

1

Population

total membership or “universe” of a defined class of people, objects or events.

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2

Parameter

functions of the study variable values. They are unknown, quantitative measures for the entire population or for specified domains which are of interest to the investigator.

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3

Samples

a subset of a frame where elements are selected based on a randomised process with a known probability of selection.

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4

Statistic

any quantity computed from values in a sample which is considered for a statistical purpose

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5

Population of Interest

the population from which the researcher wants to draw conclusions.

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6

Population to which results can be generalized

a sample that accurately mirrors characteristics of the population.

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7

Variable

characteristic of a unit being observed that may assume more than one of a set of values to which a numerical measure or a category from a classification can be assigned

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8

Categorical

Data consisting of counts of observations falling in different categories. The categories may be purely descriptive, or may have a natural order.

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9

Categorical ordinal

non-numerical pieces of information with implied order

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10

Numeric Discrete

finite value that can be counted

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11

Numeric Continuous

infinite number of possible values that can be measured

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12

Associated

tells you whether two variables are related

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13

Independent

if knowing one event occurred doesn't change the probability of the other event

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14

Explanatory Variable

The variable that is used to explain or predict the response variable

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15

Response Vaariable

a concept, idea, or quantity that someone wants to measure

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16

Blocking Variable

the arranging of experimental units in groups that are similar to one another

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17

Simple Random Variable

a generalization of the indicator random variable where instead of two events, N mutually exclusive events in that form a partition of Ω are mapped to N values in

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18

Stratified Sampling

a method of sampling from a population which can be partitioned into subpopulations

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19

Cluster Sampling

probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample

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20

Multistage Sampling

you draw a sample from a population using smaller and smaller groups at each stage.

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21

Convenience Sampling

non-probability sampling that involves the sample being drawn from that part of the population that is close to hand

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22

Voluntary Response

a sample made up of participants who have voluntarily chosen to participate as a part of the sample group

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23

Sampling Bias

a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others

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24

Observational Study

ones where researchers observe the effect of a risk factor, diagnostic test, treatment or other intervention without trying to change who is or isn't exposed to it

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25

Expirement

any procedure that can be infinitely repeated and has a well-defined set of possible outcomes, known as the sample space

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26

Retrospective Observational Study

non-randomised, non-interventional analyses of existing data relating to patients, care received and outcomes

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27

Prospective Observational Study

individuals are followed over time and data about them is collected as their characteristics or circumstances change

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28

Control

the application of statistical methods to monitor and control the quality of a production proces

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29

Placebo

an inactive substance that looks like the drug or treatment being tested

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30

Blind Experiment

practice where study participants are prevented from knowing certain information that may somehow influence them—thereby tainting the results

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31

Double Blind Expirement

requires that both researchers and test subjects are unaware of who is receiving the treatment and who is receiving the placebo

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