Chapter 13 Flashcards

1
Q

N-Value

A

The number of individuals or objects in a population

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2
Q

Data

Pl. Datum

A

Any type of information packaged in numerical form

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3
Q

Census

A

The process of collecting data by going through every member of the population

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4
Q

Survey/Poll

A

Collect data by acting questions only from some members of the population and use that data to draw conclusions and make inferences about the entire population

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5
Q

Sample

A

The subgroup of the population that is chosen to provide the data

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6
Q

Target population

A

The population for which the survey applies

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7
Q

Sampling Frame

A

The actual subset of the population from which the sample will be drawn

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8
Q

Selection Bias

A

When he choice of the sample has a built in tendency (whether intentional or not) to exclude a particular group or characteristic within the population

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9
Q

Response Rate

A

The percentage of respondents out of the total sample

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10
Q

Nonresponse Bias

A

When the response rate to a survey is low; only receive data from people with really strong opinions

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11
Q

Convenience Sampling

A

The selection for which individuals ads in the sample is dictated by what is easiest or cheapest for the data collector

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12
Q

Quota Sampling

A

A systematic effort to force the sample to be representative of a given population through the use of quotas

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13
Q

Simple Random Sampling

A

Members of the population all have an equal chance of being the sample as any other group the same size

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14
Q

Stratified Sampling

A

Break the sampling frame into categories, called strata, and then randomly choose a sample from these strata

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15
Q

Statistic

A

Any kind of numerical information drawn from a sample

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16
Q

Parameter

A

Any kind of numerical data drawn from the population

17
Q

Sampling Error

A

The difference between a parameter and a statistic used to estimate that parameter

18
Q

Chance Error

A

Sample can only give us approximate information about the population

19
Q

Sampling Variability

A

Different samples are likely to produce different statistics for the same population

20
Q

Sample Bias

A

Bias introduced by not getting a sample that is representative of the entire population

21
Q

Sampling Proportion

A

n/N

Sample Size/Population

22
Q

Capture-Recapture Method

A

Sample, Tag + Return
Recapture, Count Tagged Individuals
(n1 x n2)/k

23
Q

Clinical Study

Clinical Trial

A

Concerned with determining whether a single variable of treatment can cause a certain effect

24
Q

Confounding Variables

A

All other possible causes that could produce the same effect as the treatment

25
Q

Controlled Study

A

Subjects are divided into a treatment group and a controlled group

26
Q

Treatment Group

A

Consists of those subjects receiving the actual treatment

27
Q

Control Group

A

Consists of subjects that are not receiving any treatment

28
Q

Randomized Controlled Study

A

The subjects are assigned to the treatment group or the control group randomly

29
Q

Placebo

A

A harmless pill, an injection of saline solution, or any other fake type of treatment intended to look like the real treatment

30
Q

Blind Study

A

A study in which neither the members of the treatment group nor the members of the control group know to which of the two groups they belong

31
Q

Double-Blind Study

A

Study in which neither the subjects nor the scientists conducting the experiment know which subjects are in the treatment group and which are in the control group

32
Q

Population

A

The group of individuals or objects we want to make conclusions about