Time Civilian U Prepare the Report in Memo Format to Your Instructor, a in a Day

question 20

Essay

Time civilian U.S. population over 15 spends in primary activities in a day (numbers rounded to nearest tenth). Source: U.S. Department of Labor Statistics, Table 1 . . . 2010 Annual Averages at http://www.bls.gov/news.release/atus.t01.htm
$\begin{array} { | c | l | c | c | } \hline \text { Group } &{ \text { Activity } } & \begin{array} { c } \text { Average } \\\text { Hrs./May }\end{array} & \text { Percent } \\\hline 1 & \text { Sleepirg \& Personal Care } & 9.5 & 40 \% \\\hline 2 & \text { Eatirg d Drirkirg } & 1.3 & 5 \% \\\hline 3 & \text { Household \& Shoppirg } & 2.5 & 10 \% \\\hline 4 & \text { Workirg \& Work-Related } & 3.5 & 15 \% \\\hline 5 & \text { Educational, Civic \& Religious } & 0.8 & 3 \% \\\hline 6 & \text { Leisure \& Sports } & 5.2 & 22 \% \\\hline 7 & \text { Other } & 1.3 & 5 \% \\\hline\end{array}$ Prepare the report in memo format to your instructor, a publisher of how-to and self-help books. Assume that the publisher plans to add four titles to its self-help line this year. Assume also that two or three how-to titles may be revised for use in entry-level vocational-technical (vo-tech) courses. Note that numbers represent time usage for the entire civilian population over 15, not just those who participate in these activities. For example, Group 4 numbers include unemployed persons in the average. You may add complementary information to the report.

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Definitions:

Dependent Populations

Populations in which the members of one sample are related or matched to the members of the other samples.

Matched Pairs Experiment

An experimental design in which participants are paired based on certain criteria, and each pair is split between control and treatment groups for comparison.

Matched Samples

Pairs of samples that are intentionally matched or paired based on certain characteristics before conducting an experiment or analysis.

Independent Samples

Samples drawn from populations in such a way that the sample values selected from one population are not influenced by those selected from the other population.