C291 Survey of Males and Females - Viva la difference! On the C291Survey worksheet of Asst5_2017W2_Data.xisx are selected variables from this year's online survey of C291 students. Assume that these results represent a random sample of all Sauder undergraduate students in the past few years. The variables are as follows (coding is also provided as comments in the spreadsheet): Gender Gender 1=Male, 2=Female BornCanada Born in Canada? 1=Yes/Canadian-born, 2=No/Not Canadian-born Alcohol Alcohol Use 1=Yes, regularly, excess, 2=Yes, regularly, moderate, 3=Yes, occasionally, 4=Never Outlook C291 Outlook 1=Dreading it, 2=Will survive, 3=Moderately excited, 4=Very excited, 5=Most thrilling ever SnapChat SnapChat User 0=No, 1=Yes Company Company Choice 1=Facebook, 2=Goldman Sachs, 3=Google, 4=Mckinsey, 5=Lululemon, 6=Apple, 7=Microsoft Incomplete records have been removed so you don't need to worry about missing data. There are 700 records in total. You will test for differences between males and females with respect to the other variables. Use a 0.01 (i.e. 1%... not 5%!) level of significance for all tests. Carry out two hypothesis tests (z-tests) to compare the proportions of males and females who are born in Canada, and to compare the proportions of males and females who use SnapChat. DO NOT USE THE POOLED PROPORTION VERSION. . Born in Canada . SE = 0.0374 (Report your answer to four decimal places.) o test statistic: Z = 0.078 (Report your answer to three decimal places.) o P-value = 0.938 (Report your answer to three decimal places.)