Please do in R. We will be using these variables(4).

Remove any outliers for each applicable variable. Make sure you are updating the dataset from Q10 and using this dataset for the remainder of the questions. Briefly explain why you chose the method you used in the *Q11 Discussion* section. Within your code chunk, provide comments explaining what your code is doing.

#For analysis of "PERSDOC2" column:

Value Value Label Frequency ----- ------------------ --------- 1 Yes, only one 341,386 2 More than one 34,477 3 No 63,737 7 Don't know/Not Sure 1,165 9 Refused 691

10 MISSING/ NOT ASKED 10101

#For analysis of "EDUCA" column: Value Value Label Frequency ----- -------------------------------------------------------- --------- 1 Never attended school or only kindergarten 609 2 Grades 1 through 8 (Elementary) 11,187 3 Grades 9 through 11 (Some high school) 22,463 4 Grade 12 or GED (High school graduate) 123,227 5 College 1 year to 3 years (Some college or technical school) 120,528 6 College 4 years or more (College graduate) 161,631 9 Refused 1,811

10 MISSING/ NOT ASKED 10101

#For analysis of "EMPLOY1" column:

Value Value Label Frequency ----- ------------------------------------ --------- 1 Employed for wages 179,163 2 Self-employed 36,609 3 Out of work for 1 year or more 9,594 4 Out of work for less than 1 year 9,012 5 A homemaker 27,107 6 A student 11,551 7 Retired 132,648 8 Unable to work 31,977 9 Refused 3,795

10 MISSING/ NOT ASKED 10101

# For analysis of 'LSATISFY' column: Value Value Label Frequency ----- ------------------- --------- 1 Very satisfied 9,066 2 Satisfied 9,721 3 Dissatisfied 827 4 Very dissatisfied 224 7 Don't know/Not sure 133 9 Refused 81

10 MISSING/ NOT ASKED 10101