Question
Question 1: Enter the data provided into SPSS before answering the following questions. Age Major Year Transport Tuition 18 Not applicable 1 Bus Loan 37
Question 1:
Enter the data provided into SPSS before answering the following questions.
Age | Major | Year | Transport | Tuition |
18 | Not applicable | 1 | Bus | Loan |
37 | Psychology | 2 | Car | Paid for |
23 | Don't know | 3 | Bus | No answer |
25 | Sociology | 4 | Car | Loan |
21 | Criminal Justice | 2 | Walk | Parents |
20 | Don't know | 1 | Bus | Parents |
20 | Don't know | 2 | Bus | Loan |
24 | Sociology | 3 | Car | No answer |
22 | Sociology | 3 | Car | Paid for |
24 | Statistics | 5 | Bike | Loan |
24 | Psychology | 4 | Car | Loan |
33 | Statistics | 1 | Walk | Parents |
28 | Don't know | 2 | Car | Loan |
21 | Sociology | 3 | Bus | Don't know |
24 | Psychology | 4 | Bike | Paid for |
22 | Criminal Justice | 3 | Car | Loan |
29 | Criminal Justice | 2 | Bike | No answer |
38 | Sociology | 3 | Bike | Paid for |
27 | Statistics | 1 | Car | Paid for |
22 | Don't know | 2 | Bus | Loan |
- What percentage of the sample are Sociology students (Major)? ( mark)
2. What is the most common way to travel to the university (Transport)? ( mark)
3.How many respondents are in their third year of university (Year)? ( mark)
4.Based on the sample, did more students take out a "loan" or "paid for" university themselves (Tuition)? Explain the basis for your choice. ( mark)
5.Print a copy of the data editor screen. (1 mark)(Note: The data editor screen is where the data has been typed into SPSS - the screen looks like the table above). Make sure to save the data and output separately!
Open the GSS dataset to answer the following questions. Note: There is no need to close the output from the previous question. After the GSS dataset is opened your answers will follow those from question one in your SPSS output.
Question 2:
make a frequency table for voting patterns in the US (pres92).
- Why do we use three different codes for missing values? (Hint: provide the rational behind why we use each of the missing values found in the frequency table). ( mark)
b. How many people were coded as missing? ( mark)
- Provide an example of someone who may have been coded as "not applicable". ( mark)
- Does the number of missing people in this example affect your ability to describe voting patterns? Explain. (1 mark)
Question 3:
make a frequency table and a histogram for the average number of hours respondents spend watching TV each day (tvhours). ( mark)
- any of the values in the frequency table strike you as strange? Explain why you think these strange values might occur.(Hint: Think about what the question is asking, then examine the responses that were recorded.) (1 mark)
- What percent of respondents do not watch any television? ( mark)
- What percent of respondents watch two or fewer hours of television per day? ( mark)
- What percent of respondents watch five or more hours of television per day? ( mark)
- How many respondents watch one hour of television per day? ( mark)
- What percent of respondents watch four or fewer hours of television per day? ( mark)
- Explain why a histogram was used rather than a bar chart for this variable. ( mark)
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