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Chapter 1 - Probability and Statistics Flashcards | StudBud
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Chapter 1 - Probability and Statistics
Chapter 1 - Probability and Statistics
27 terms
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Chapter Quiz Review
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Questions
27
Answers
1
What arises when sampling methods over/underestimate characteristics of a population.
Bias
Sampling Error
Control
Confounding
2
The group in an experiment to which all other groups are compared.
Control
Population
Observational
Sample
3
A type of sample where more than one type of sampling is used.
Systematic Sample
Census
Stratified Sample
Multistage Sample
4
Large group from which we are trying to get information.
Population
Control
Census
Sample
5
The difference between the results obtained from a sample and the true values obtained from the population.
Confounding
Bias
Placebo Effect
Sampling Error
6
A type of study where the researcher manipulates the variables associated with different groups.
Observational
Systematic
Experimental
Stratified
7
A type of variable that records amounts. You could take an average of the recorded data.
Qualitative
Response
Quantitative
Explanatory
8
A variable that is manipulated in an experimental study.
Confounding Variable
Response Variable
Explanatory Variable
Quantitative Variable
9
A type of sample where each member of the population is numbered and some are randomly selected.
Stratified Sample
Simple Random Sample
Systematic Sample
Census
10
A variable that can only fall into a limited number of categories.
Continuous Variable
Discrete Variable
Confounding Variable
Quantitative Variable
11
A type of sample where we select
some of all
groups sorted by characteristics.
Census
Simple Random Sample
Stratified Sample
Systematic Sample
12
What a sample is said to be if it accurately reflects the population.
Control
Representative
Biased
Qualitative
13
A type of variable that places responses in categories.
Qualitative
Response
Quantitative
Explanatory
14
Statistics that simply report the data with no implied conclusions about a population.
Descriptive Statistics
Inferential Statistics
15
A small group selected from a population.
Sample
Treatment group
Control
Census
16
A type of sample where indivials choose to participate. (IT'S BAD!!)
Convenience Sample
Voluntary Response Sample
Stratified Sample
Census
17
The tendency in humans to respond to fake treatments.
Bias
Sampling Error
Confounding
Placebo Effect
18
A type of sample where all members of the population are in the sample.
Stratified Sample
Census
Systematic Sample
Simple Random Sample
19
A variable that can assume whole values as well as fractional and decimal values.
Quantitative Variable
Confounding Variable
Continuous Variable
Discrete Variable
20
A type of study where the researcher records data from watching behavior then reports findings.
Systematic
Experimental
Stratified
Observational
21
A type of sample where we select
all of some
naturally occuring groups.
Stratified Sample
Cluster
Simple Random Sample
Systematic Sample
22
Type of sample where we select every k-th individual in a population.
Stratified Sample
Census
Systematic Sample
Simple Random Sample
23
A variable that affects the response variable, but cannot be separated from the explanatory variable.
Confounding
Qualitative
Quantitative
Categorical
24
A type of sample where only the easiest individuals are included in the sample. (IT'S BAD!!)
Simple Random Sample
Census
Convenience Sample
Voluntary Response Sample
25
A variable that is measured at the end of an experimental study.
Confounding Variable
Explanatory Variable
Response Variable
Quantitative Variable
26
A protection from bias.
Randomization
Sample
Confounding
Control
27
Statistics that report attempt to draw conclusions about a population from the sample.
Descriptive Statistics
Inferential Statistics
