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Unit 5 Complete

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For the Week 5 Complete assignment, solve each problem and answer each question that corresponds with it. Explain how you arrived at the answer for each problem. The total word count for your assignment should be a minimum of 1200 words, with three scholarly sources, on of which may include textbook.

Donnelly, R. A. (2020). Business statistics (3rd ed.). Pearson.

Special Note: Keep in mind the word count does not count the words currently on this document which is 730.

1. Television advertisers base their investment decisions regarding the promotion of their products and services on demographic information about television viewers. The age of the viewers is a key factor in this process. The following table shows the number of hours that a random sample of individuals watched television during the week. The individuals are grouped according to their ages.

Table  Description automatically generated

     a. Perform a one-way ANOVA using a = 0.05 to determine if there is a difference in the average number of hours per week of television viewing by the four age groups.       b. If warranted, perform a multiple comparison test to determine which pairs are different using a = 0.05.       c. Verify your results with Excel. 

Student Response (Reminder: References go on the reference page at the end of the document.

2. Budget shortfalls in many states during the 2007–2008 recession placed a strain on education resources. One area that receives much attention from both parents and administrators is the number of students per teacher. Suppose the U.S. Department of Education would like to compare this ratio in kindergartens for schools in California, Delaware, Nevada, and Georgia. The following data show the number of kindergarten students in randomly selected classrooms in these four states. Table  Description automatically generated

     a. Perform a one-way ANOVA using a = 0.05 to determine if the average number of students in kindergarten classes is different in the four states.       b. If warranted, perform a multiple comparison test to determine which pairs are different using a = 0.05.      c. Verify your results with Excel.

Student Response (Reminder: References go on the reference page at the end of the document.

3. Suppose you are interested in buying a new smart TV and want to find out about differences in prices, sizes, and manufacturers. The following data show the prices of a random sample of televisions for various screen sizes.  Table  Description automatically generated

     a. Using a one-way ANOVA and a = 0.05, test to see if a difference exists in the average prices of the brands.      b. Using a randomized block ANOVA and a = 0.05, test to see if a difference exists in the average prices of the brands.       c. If warranted, determine which pairs of television brands are different using a = 0.05.       d. Verify your results with Excel.       e. Explain the differences in the results from parts a and b. 11.46.

Student Response (Reminder: References go on the reference page at the end of the document.

4. According to a recent AAA survey, about 20% of Americans say they’re likely to buy an electric car in the future. Actually, sales of electric cars increased by 25% between 2016 and 2017. To serve U.S. customers, Consumer Research is currently testing the new Nissan Leaf, Tesla Model 3, and Chevy Bolt. I asked some of my colleagues who own electric cars about their satisfaction with them because I am interested in buying one. The following table shows the results of the survey. Table  Description automatically generated

     a. Perform a one-way ANOVA using a = 0.01 to determine if a difference exists in the average satisfaction rating.      b. If appropriate, perform a multiple comparison test to determine which pairs are different using a = 0.01.      c. Verify your results using Excel.

Student Response (Reminder: References go on the reference page at the end of the document.

5. A survey was conducted to determine by age group the number of registered voters who cast ballots during the recent elections. The following data were recorded: Table  Description automatically generated

     a. Using a = 0.01, perform a chi-square test to determine if the proportion of voters who cast ballots during the elections differs among the five age groups of voters.       b. Determine the p-value using Excel and interpret its meaning.       c. How does age appear to relate to the likelihood that a voter will cast a ballot during the elections?

Student Response (Reminder: References go on the reference page at the end of the document.

References

(Reminder: Need a bare minimum of three sources for the reference page)

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