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(This begins Exercise 1 which includes questions 1-11). The following results come from a dataset that contains information on a random sample of 534 U.S.

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(This begins Exercise 1 which includes questions 1-11). The following results come from a dataset that contains information on a random sample of 534 U.S. workers surveyed in 1985. The dataset contains information about the hourly wage (in U.S. dollars) and the sex of each of the workers survey as well as information about each worker's age (categorized into 4 quartiles), uni membership, job type (collapsed into 8 different categories), marital status (mar or not), and occupational sector (3 categories). You are interested in assessing th relationship between hourly wages and sex in the population of workers from wh the sample was taken. Forty-six percent of the sample is female, and the overall average hourly salary for the 534 workers is $9.00 per hour (in 1985 dollars). You are reviewing the following set of salary mean difference estimates comparin female and male workers. The first estimate is the unadjusted association, and t subsequent estimates in the table have been adjusted for the characteristics liste Table 1: Unadjusted and Adjusted Mean Salary Differences for Sex Index Estimate SE1 Estimate is Adjusted for: -$2.12 $0.44 (unadjusted) $2.14 $0.43 Age $1.99 $0.43 Age, Union Membership -$1.92 $0.43 Age, Union Membership, Job Type $2.01 $0.43 Age, Union Membership, Job Type, Sector, Marital Sta Standard Error of the Mean Difference - What two groups does the unadjusted mean wage difference (A) compare? a. Females to males. b. Females to males of the same age. c. Females to males of the same age and union membership status. d. Females to males of the same age, union membership status and job type. e. Females to males of the same age, union membership status, job type, occupational sector, and marital status

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