Evaluate quality and choice of food offerings for breakfast

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Reference no: EM132169810

Assignment -

A university frequently conducts surveys in order to gauge student satisfaction in a number of different areas. For example, over a three year period, a survey was conducted by the university in order to determine student satisfaction with a particular dining hall on campus. The data from these surveys can be found in the SPSS file Prj22018. Some details about these surveys are given below:

1. In each year, approximately 400 students were randomly selected as they entered into the dining hall. They were then asked to participate in the survey.

2. Each participating student was given a survey questionnaire to complete on their own. The survey questions were identical in each year.

3. As an incentive to participate, students who completed the survey questionnaire were entered into a raffle for bookstore gift certificates.

In the first six questions of the questionnaire, students were asked to evaluate the quality and choice (variety) of food offerings for breakfast, lunch and dinner using a 1 to 5 scale, where 1 was the lowest rating and a 5 was the highest rating. The questions were labeled v1 to v6 in the SPSS data set.

There were also a series of questions that asked students whether they agreed or disagreed with various statements concerning the dining hall. These were SPSS variables v7 to v13 and response alternatives for these statements were coded as follows:

Category 1: Agree

Category 2: Neither agree nor disagree

Category 3: Disagree

In addition, students were asked to indicate their Gender (0=Female, 1=Male) and Class year (0=Upper-class, 1=Freshmen). The variable "Year" in the data set indicates the year in which the survey was conducted (2014, 2015, or 2016). All this information is given in the data set which you should use to answer the six questions below.

A. Using only the 2016 survey data, test whether it can be concluded that the mean rating of the university's students was greater than the industry average of 3.55 for each of the three food quality items (v1 to v3). Use LS=.10. Put your results in a table indicating for each item, the average rating given by sample members, the sample standard deviation, the t-value and the p-value. Also discuss the conclusions you reached, that is, for which of the food quality items did you conclude that the university's mean rating was greater than the industry average of 3.55? Label your table as Table 1.

B. Using only the 2016 survey data, test whether it can be concluded that the mean rating of the university's students was greater than the industry average of 3.32 for each of the three food choice items (v4 to v6). Use LS=.10. Put your results in a table indicating for each item, the average rating given by sample members, the sample standard deviation, the t-value and the p-value. Also discuss the conclusions you reached, that is, for which of the food choice items did you conclude that the university's mean rating was greater than the industry average of 3.32? Label your table as Table 2.

C. Using only the 2016 survey data, test whether the mean rating of males differed from the mean rating of females for each of the items, v1 to v6. Conduct these tests using LS=.10. Put your results in a new table showing, for each item, the average rating given by males in the sample, the average rating given by females in the sample, the difference in sample means, and the p-value of your test. Also indicate what conclusions you reached, that is, for which items did you conclude that there was a difference between male and female students at the university and what were these differences? Label this as Table 3.

D. Consider only freshmen students in 2016. For this group, did freshmen male students differ from freshmen female students in terms of their mean rating given to each of the items, v1 to v6? Conduct these tests using LS=.10. Put your results in a table giving the sample means, sample differences, and p-values. Label this as Table 4. Then state your conclusions about whether or not differences existed and, if so, what these differences were.

E. Using data from all three years, test for each of the statements, v7 to v13, whether there was a relationship between the year the survey was conducted and the opinions that were given. Conduct these tests using LS=.10. Put your results in a table. This will be Table 5 and it should include the percentage of the respondents in each year (2014, 2015 and 2016) who (i) Agreed, (ii) Neither agreed nor disagreed and (iii) Disagreed with each of the various statements. The table should also include the sample sizes these percentages were based upon and the p-values. Then state your conclusion -- for which statements, if any, did you conclude there was a relationship? Further, if you concluded there was a relationship, what was this relationship?

F. Using the data from all three surveys, test whether there was any relationship between gender and the opinions that were given for each of the statements, v7 to v13. Conduct these tests using LS=.10. Put your results in a table. This will be Table 6 and it should include the percentage of the male and female respondents who (i) Agreed, (ii) Neither agreed nor disagreed and (iii) Disagreed with each of the various statements. The table should also include the sample sizes these percentages were based upon and the p-values. Then state your conclusion -- for which statements, if any, did you conclude there was a relationship? Further, if you concluded there was a relationship, what was this relationship?

Attachment:- Assignment Files.rar

Reference no: EM132169810

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len2169810

11/18/2018 8:48:16 PM

Complete the above analyses by obtaining the output and then constructing your own tables and drawing your conclusions. Each table should be numbered (Table 1, Table 2, ...) and include a title. Also, when reporting means, use two decimal points (e.g. -- 3.27), when reporting percentages, round off to the nearest whole percentage (e.g. -- 82%) when reporting p-values, use three decimal points (e.g. -- .003). Put the answer to each question on a separate page. Also, e-mail me, as an attachment, all of your SPSS output that you used to answer these questions.

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