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Western Governors University Online College | WGU

Statistics / WGU

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25 Questions

1. Hawthorne Effect

A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).A phenomenon where people in an experiment behave differently from how they would normally behave.the most commonly occurring value in a distribution.Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.

2. The Standard Deviation Rule:

3. Histogram

A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.the most commonly occurring value in a distribution.A phenomenon where people in an experiment behave differently from how they would normally behave.

4. the mode is

A phenomenon where people in an experiment behave differently from how they would normally behave.the most commonly occurring value in a distribution.Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).

5. _________ lists potential individuals to be samples and may not match the population of interest.

A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.A phenomenon where people in an experiment behave differently from how they would normally behave.sampling frame

6. The mean of a data set is 24 and the standard deviation is 3. Suppose the distribution is normal, what percent of the values is larger than 27?

A phenomenon where people in an experiment behave differently from how they would normally behave.16%A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.

7. Ask your professors for email rosters of all the students in your classes. Randomly sample some addresses, and email those students with your question about musical preference. In this case, the roster is considered the ________.

A phenomenon where people in an experiment behave differently from how they would normally behave.Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.sampling frameA graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).

8. The relationship between two categorical variables is summarized using:

Data display: two-way table, supplemented by - Numerical summaries: conditional percentages.Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.A phenomenon where people in an experiment behave differently from how they would normally behave.A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).

9. Probability is

10. the response variable

A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.(also commonly referred to as the dependent variable)-the outcome of the study.A phenomenon where people in an experiment behave differently from how they would normally behave.

11. A sample that produces data that is not representative because of the systematic under- or over-estimations of the values of the variable of interest is called _____.

A phenomenon where people in an experiment behave differently from how they would normally behave.Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).bias

12. Two events that cannot occur at the same time are called DISJOINT or mutually exclusive. DO NOT OVERLAP

Example: One Person Can Have Only One BloodtypeA phenomenon where people in an experiment behave differently from how they would normally behave.A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.

13. Stratified Sampling

A phenomenon where people in an experiment behave differently from how they would normally behave.A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.Sample is selected by listing the sampling frame, then choose a random sample (usually the same size) from within EVERY group. | Pro: 'Wide': Each Group is represented | Con: 'Thin': A few are chosen from each group | | divides the population into groups called strata before selecting study participants at random from within those groups.

14. Mutli-stage Sampling

Sample is selected by listing the sampling frame, randomly selecting a few groups, then choose a random sample (usually the same size) from just those selected groups. This is a combination of Cluster and Stratified Sampling. makes the sampling process more manageable by working down from a large population to successively smaller groups within the population, taking advantage of stratifying along the way,A phenomenon where people in an experiment behave differently from how they would normally behave.Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).

15. Simple Random Sampling

Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.A phenomenon where people in an experiment behave differently from how they would normally behave.Sample is selected by listing the sampling frame, then making a selection by following a random pattern and selecting without replacement. Unbiased. | Pro: Totally Random | Con: May not equally represent sub-populations - where every group of individuals has the same chance of being selected as every other group of the same size. This is achieved by sampling at random and without replacement.A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).

16. The leaf is the right-most digit.

A phenomenon where people in an experiment behave differently from how they would normally behave.A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).The stem is everything except the right-most digit. - So, if the data point is 34, then 3 is the stem and 4 is the leaf. - If the data point is 3.41, then 3.4 is the stem and 1 is the leaf.Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.

17. A _______ sampling plan (such as a simple random sample, cluster, or stratified sampling) will result in a nonbiased sample, which can be safely used to make inferences

A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).probabilityA phenomenon where people in an experiment behave differently from how they would normally behave.Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.

18. For Independent Events: P(A and B) = ?

19. A(n) ________ allows individuals in the sample to answer anonymously, while the researcher still gains information about the population.

A phenomenon where people in an experiment behave differently from how they would normally behave.Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.randomized responseA graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).

20. Shape

A phenomenon where people in an experiment behave differently from how they would normally behave.When describing the shape of a distribution, we should consider: - Symmetry/skewness of the distribution. - Peakedness (modality)the number of peaks (modes) the distribution has.Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).

21. Serum cholesterol

A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).A phenomenon where people in an experiment behave differently from how they would normally behave.QuantitativeApproximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.

22. The five-number summary provides a complete numerical description of a distribution.

A phenomenon where people in an experiment behave differently from how they would normally behave.A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.The median describes the center, and the extremes (which give the range) and the quartiles (which give the IQR) describe the spread.

23. In a well designed _____, randomization should be used twice. First a random sample of subjects is collected, then we assign individuals randomly to either the treatment or control group to ensure that the only difference between them will be due to the treatment. In this way we can establish causation.

A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.randomized controlled experimentA phenomenon where people in an experiment behave differently from how they would normally behave.

24. Number of goals scored in a hockey game

25. The idea of disjoint events is about whether or not it is possible for

the events to occur at the same time - USUALLY RANDOM PICK OUT OF LARGE POPULATIONA phenomenon where people in an experiment behave differently from how they would normally behave.A graphical display of one quantitative variable. The horizontal axis has the data values broken into bins (intervals) and the vertical axis has frequency counts (note that individual data is lost).Approximately 68% of the observations fall within 1 standard deviation of the mean. - - Approximately 95% of the observations fall within 2 standard deviations of the mean. - - Approximately 99.7% (or virtually all) of the observations fall within 3 standard deviations of the mean.

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25 Questions

❤ If you liked Fatskills, consider supporting us by checking out The Life Manuals You Never Got.

About | Explore | User Guide | Topics | Subjects | Doubt Solver | Career Aptitude Test | Answers | Free Tools | OSHA Basics Quiz | What Should We Know? Privacy | Terms |

Without work one finishes nothing. - Ralph Waldo Emerson© 2026 Fatskills.com

All trademarks, logos and brand names are the property of their respective owners. All company, product and service names used in this website are for identification purposes only. Use of these names, trademarks and brands does not imply endorsement.

About | Explore | User Guide | Topics | Subjects | Doubt Solver | Career Aptitude Test | Answers | Free Tools | OSHA Basics Quiz | What Should We Know?
Privacy | Terms |

Without work one finishes nothing. - Ralph Waldo Emerson
© 2026 Fatskills.com