WGU D772 Statistical Data Literacy
WGU D772 Statistical Data Literacy
Study online at https://quizlet.com/_hgzbv2
1. Population Entire group of things you want to study (all university students
across the US)
2. Sample Smaller group selected from the population (1,000 university
students selected from different schools around the US)
3. Parameter numerical summary of a population describing characteristics
(Average height of adult women in the US)
4. Statistic a numerical measurement describing some characteristic of a
sample (Average height of 100 adult women across the US)
5. Individuals objects described by a set of data
6. Variables Characteristics or measurements we are interested in studying
7. Quantitive Variables variables that can be counted or measured
8. Data Values of variables
9. Stratified Sampling Dividing a population into distinct subgroups based on specific
characteristics.
10. Strata subgroups within a population that share a common characteris-
tics.
11. Proportionate Sample a sample where the number of individuals selected from each
stratum is proportional to the size of the stratum population. (25%
of the high school population is freshman, then 25% of the sample
should be freshman)
12. Cluster Sampling Dividing the population into clusters, which are naturally occur-
ring groups like schools, neighborhoods, or cities.
13. Systematic Sampling
1/7
, WGU D772 Statistical Data Literacy
WGU D772 Statistical Data Literacy
Study online at https://quizlet.com/_hgzbv2
Selecting every 'nth" individual from a list of the population start-
ing from a randomly chosen point. (List of 1000 people if you
want a sample of 100 the sampling interc=val would be every 10th
person is selected)
14. Observational Study Observe and record data without intervention
15. Sample Survey Ask individuals to self-report the values of variables.
16. experiment Manipulate variables and observe their effects.
17. Explanatory Variable Variable believed to cause the change
18. Response variable Variable effected
19. Treatments Different values of the explanatory variable
20. Experimental Unit Single object or individual being measured
21. Replication Repeating the experiment with a sufficiently large sample size or
reproducing the entire study to confirm previous findings
22. Control Group Group of participants in an experiment who do not receive the
experimental treatment.
23. Blidning technique that prevents participants and/or researchers from
knowing who got experimental treatment and who got placebo.
24. Single-blind Only participants are unaware of their groups assignment
25. Double-blind participants and researchers are unaware of the group assign-
ments
26. Representative Sample A subset of the population that accurately reflects the characteris-
tics of the larger group.
2/7
WGU D772 Statistical Data Literacy
Study online at https://quizlet.com/_hgzbv2
1. Population Entire group of things you want to study (all university students
across the US)
2. Sample Smaller group selected from the population (1,000 university
students selected from different schools around the US)
3. Parameter numerical summary of a population describing characteristics
(Average height of adult women in the US)
4. Statistic a numerical measurement describing some characteristic of a
sample (Average height of 100 adult women across the US)
5. Individuals objects described by a set of data
6. Variables Characteristics or measurements we are interested in studying
7. Quantitive Variables variables that can be counted or measured
8. Data Values of variables
9. Stratified Sampling Dividing a population into distinct subgroups based on specific
characteristics.
10. Strata subgroups within a population that share a common characteris-
tics.
11. Proportionate Sample a sample where the number of individuals selected from each
stratum is proportional to the size of the stratum population. (25%
of the high school population is freshman, then 25% of the sample
should be freshman)
12. Cluster Sampling Dividing the population into clusters, which are naturally occur-
ring groups like schools, neighborhoods, or cities.
13. Systematic Sampling
1/7
, WGU D772 Statistical Data Literacy
WGU D772 Statistical Data Literacy
Study online at https://quizlet.com/_hgzbv2
Selecting every 'nth" individual from a list of the population start-
ing from a randomly chosen point. (List of 1000 people if you
want a sample of 100 the sampling interc=val would be every 10th
person is selected)
14. Observational Study Observe and record data without intervention
15. Sample Survey Ask individuals to self-report the values of variables.
16. experiment Manipulate variables and observe their effects.
17. Explanatory Variable Variable believed to cause the change
18. Response variable Variable effected
19. Treatments Different values of the explanatory variable
20. Experimental Unit Single object or individual being measured
21. Replication Repeating the experiment with a sufficiently large sample size or
reproducing the entire study to confirm previous findings
22. Control Group Group of participants in an experiment who do not receive the
experimental treatment.
23. Blidning technique that prevents participants and/or researchers from
knowing who got experimental treatment and who got placebo.
24. Single-blind Only participants are unaware of their groups assignment
25. Double-blind participants and researchers are unaware of the group assign-
ments
26. Representative Sample A subset of the population that accurately reflects the characteris-
tics of the larger group.
2/7
