Tasks to be completed for Assignment 2:
1. With data from the “CES 2019 phone survey” data file on LEARN (under “Content” – “Canadian Election Study 2019”), produce a frequency table for the variable q27_c “Attitudes on federal government spending on crime and justice” in SPSS. Request all the relevant descriptive statistics for this variable’s level of measurement (as seen in Weeks 4 and 5), after deciding which observations should be classified as “missing”. Also, produce a histogram (illustrating frequencies for each category) and a pie chart (illustrating valid percentages for each category) for the variable q27_c in either SPSS or another graphing program.
Provide cleaned-up versions of this table and these graphs in the final report, according to the presentation norms seen in Week 5.
In the final report, identify the level of measurement of q27_c, as well as comment the results of your table and graphs: this includes interpreting the key statistics in a way non-expert readers can understand. What are these statistics telling us?
(12 points)
2. Calculate the confidence intervals (with a confidence level of 95%) for the valid percentages of each valid category of respondents for the variable q27_c, using the appropriate formula seen in Week 5. Provide your calculations, the confidence intervals and the proper interpretation of these confidence intervals in the final report.
(5 points)
3. With data from the “CES 2019 phone survey” data file on LEARN, recode the variable q69 “Respondent’s total household income before taxes for the year 2018” into two categories in SPSS: one for all respondents whose household income was less than $50,000 in 2018, and another category for those whose household income was $50,000 or more in 2018. Make sure to classify any missing values as such in SPSS.
Produce two frequency tables, with relevant descriptive statistics, for the variable q27_c “Attitudes on federal government spending on crime and justice”: one frequency table only with respondents whose household income was less than $50,000 in 2018, and the other for respondents whose household income was $50,000 or more in 2018.
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