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Intro to Statistics Concepts Flashcards | StudBud
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Intro to Statistics Concepts
Intro to Statistics Concepts
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A review of statistical terms for the first statistics test.
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Answers
1
Temperature is an example of what type of data?
Discrete
Continuous
2
Eye color is an example of what type of data?
Qualitative
Quantitative
3
Using results that are easy to get
Convenience
Systematic
Stratified
Cluster
4
Classifies data into categories that can be ranked; no differences between the ranks exist
ordinal
interval
ratio
nominal
5
Ranks data, and precise differences between units of measure do exist;there is no meaningful 0
ordinal
nominal
ratio
interval
6
Possesses all the characteristics of interval measurement, and there exist a true zero.
ratio
interval
nominal
ordinal
7
Science of conducting studies to collect, organize, analyze and draw conclusions from data
Statistics
Probability
Mathematics
Physics
8
A variable that can be placed into distinct categories, according to some characteristic
qualitative
preferential
quantitative
isolated
9
Choosing every nth individual
Systematic
Stratified
Cluster
Convenience
10
Which of the 4 levels of measurement is most appropriate for grades (A,B, C, D, F)?
Interval
Ordinal
Nomial
Ratio
11
Classifies data into mutually exclusive categories in which no order or ranking can be imposed
nominal
interval
ordinal
ratio
12
Class size is an example of what type of data?
Continuous
Discrete
13
Type of variable that can assume an infinite number of values between any two specific values.
discrete
countable
continuous
numerical
14
Consist of generalizing from samples to populations, and making predictions from data
organized statistics
inferential statistics
descriptive statistics
probability
15
Age is an example of what type of data?
Qualitative
Quantitative
16
Branch of statistics that consist of collection, organization, and presentation of data
Probability
Descriptive statistics
Organized statistics
Inferential statistics
17
Type of variable that assume values that can be counted
countable
numerical
discrete
continuous
18
When the object of study consist of all subjects (human or otherwise), we are talking about
population
general objects
universe
sample
19
When a group of subjects is selected from a population to be studied, we are talking about
sample
portion
universe
general objects
20
Split the population into groups and then selecting every individual from each of a few groups
Stratified
Simple Random Sample
Convenience
Cluster
21
Split the population into homogeneous groups and select proportionate amounts from each group
Simple Random Sample
Convenience
Cluster
Stratified
22
A sample in which each set of n elements has an equal chance of being selected.
Cluster
Convenience
Systematic
Simple Random Sample
