Please show all steps including how to input data on SPSS and all steps for 1-7 on SPSS using the entire data set. Thank you!

SPSS ASSIGNMENT 1. Create a codebook. 2. Enter all data below into an SPSS file. 3. Conduct univariate analysis on all variables and report the appropriate measure of central tendency with the appropriate graph. 4. Obtain the appropriate measure of dispersion for age and both income variables. 5. Using the split file command, compare the age difference for males and females. 6. Using the compute command, calculate the difference in household income and personal income. Report the appropriate level of measurement, dispersion and graph for this new constructed variable. 7. Obtain the Z scores on each subject's age. DATA Subject Gender Age 30 40 F F M M M F F F F M 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 Marital Status 1 0 1 1 0 0 1 0 missing 1 2 2 1 2 2 1 1 0 0 1 1 1 2 2 2 1 1 1 0 45 23 50 65 33 20 30 Missing 58 32 35 23 34 26 36 M M M M F F M M F F F F F M M M F M M F Education Household Income 0 70000.00 0 32500.00 0 42000.00 0 50000.00 0 4500.00 1 40000.00 1 12000.00 2 56000.00 3 17500.00 4 44000.00 1 missing 2 10000.00 3 missing 4 100000.00 1 64000.00 2 Missing 3 missing 4 7500.00 1 missing 2 100000.00 3 24000.00 4 42000.00 1 missing 2 missing 3 3500.00 4 45000.00 1 350000.00 2 5000.00 3 10000.00 Personal Income 40000.00 32500.00 .0 50000.00 4500.00 22000.00 12000.00 52000.00 17500.00 39000.00 missing 10000.00 missing 50000.00 64000.00 missing missing 5500.00 missing missing 24000.00 22000.00 missing missing 3500.00 22500.00 .0 5000.00 310400.00 41 43 46 18 40 19 23 24 55 52 34 35 28 29 M F M 30 31 32 33 34 35 36 37 38 61 63 66 42 47 48 M M 45 0 0 1 1 missing 1 2 2 0 1 1 0 0 0 0 F F M M M F F F F F 4 1 2 3 4 missing 0 0 0 1 2 1 1 1 1 55000.00 25000.00 22000.00 40000.00 40000.00 missing 18000.00 50000.00 200000.00 50000.00 missing 3500.00 55000.00 60000.00 300000.00 34 65 58 missing 19 22 30 39 42000.00 25000.00 22000.00 40000.00 40000.00 missing 18000.00 50000.00 missing .0 missing 2000.00 35000.00 40000.00 150000.00 40 41 42 43 44 35 LIL M M 45 F 1 40 4 800000.00 600000.00 46 F 1 42 4 3600.00 2000.00 47 F 1 48 4 333000.00 153000.00 48 M 1 50 3 4500.00 2500.00 49 F 1 55 2 56000.00 36000.00 50 M 0 47 1 55000.00 35000.00 51 M 1 45 0 100000.00 50000.00 52 missing 33 0 60000.00 35000.00 53 F 1 25 1 505000.00 350000.00 0 2 4200.00 2200.00 55 F 0 72 2 missing .0 56 F 1 68 3 31000.00 20000.00 57 M 1 33 4 250.00 150.00 58 1 35 missing 45000.00 30000.00 59 F 1 56 3 25000.00 15000.00 60 F 0 3 23000.00 20000.00 **Note : Gender (0=female, male=1); Marital Status(0=unmarried, 1=married, 2=widowed), Age (in years); Education (0= less than high school, 1=high school, 2=college, 3=postgraduate, 4=professional degree); Missing (missing = -9) 54 M 68 M 65 SPSS ASSIGNMENT 1. Create a codebook. 2. Enter all data below into an SPSS file. 3. Conduct univariate analysis on all variables and report the appropriate measure of central tendency with the appropriate graph. 4. Obtain the appropriate measure of dispersion for age and both income variables. 5. Using the split file command, compare the age difference for males and females. 6. Using the compute command, calculate the difference in household income and personal income. Report the appropriate level of measurement, dispersion and graph for this new constructed variable. 7. Obtain the Z scores on each subject's age. DATA Subject Gender Age 30 40 F F M M M F F F F M 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 Marital Status 1 0 1 1 0 0 1 0 missing 1 2 2 1 2 2 1 1 0 0 1 1 1 2 2 2 1 1 1 0 45 23 50 65 33 20 30 Missing 58 32 35 23 34 26 36 M M M M F F M M F F F F F M M M F M M F Education Household Income 0 70000.00 0 32500.00 0 42000.00 0 50000.00 0 4500.00 1 40000.00 1 12000.00 2 56000.00 3 17500.00 4 44000.00 1 missing 2 10000.00 3 missing 4 100000.00 1 64000.00 2 Missing 3 missing 4 7500.00 1 missing 2 100000.00 3 24000.00 4 42000.00 1 missing 2 missing 3 3500.00 4 45000.00 1 350000.00 2 5000.00 3 10000.00 Personal Income 40000.00 32500.00 .0 50000.00 4500.00 22000.00 12000.00 52000.00 17500.00 39000.00 missing 10000.00 missing 50000.00 64000.00 missing missing 5500.00 missing missing 24000.00 22000.00 missing missing 3500.00 22500.00 .0 5000.00 310400.00 41 43 46 18 40 19 23 24 55 52 34 35 28 29 M F M 30 31 32 33 34 35 36 37 38 61 63 66 42 47 48 M M 45 0 0 1 1 missing 1 2 2 0 1 1 0 0 0 0 F F M M M F F F F F 4 1 2 3 4 missing 0 0 0 1 2 1 1 1 1 55000.00 25000.00 22000.00 40000.00 40000.00 missing 18000.00 50000.00 200000.00 50000.00 missing 3500.00 55000.00 60000.00 300000.00 34 65 58 missing 19 22 30 39 42000.00 25000.00 22000.00 40000.00 40000.00 missing 18000.00 50000.00 missing .0 missing 2000.00 35000.00 40000.00 150000.00 40 41 42 43 44 35 LIL M M 45 F 1 40 4 800000.00 600000.00 46 F 1 42 4 3600.00 2000.00 47 F 1 48 4 333000.00 153000.00 48 M 1 50 3 4500.00 2500.00 49 F 1 55 2 56000.00 36000.00 50 M 0 47 1 55000.00 35000.00 51 M 1 45 0 100000.00 50000.00 52 missing 33 0 60000.00 35000.00 53 F 1 25 1 505000.00 350000.00 0 2 4200.00 2200.00 55 F 0 72 2 missing .0 56 F 1 68 3 31000.00 20000.00 57 M 1 33 4 250.00 150.00 58 1 35 missing 45000.00 30000.00 59 F 1 56 3 25000.00 15000.00 60 F 0 3 23000.00 20000.00 **Note : Gender (0=female, male=1); Marital Status(0=unmarried, 1=married, 2=widowed), Age (in years); Education (0= less than high school, 1=high school, 2=college, 3=postgraduate, 4=professional degree); Missing (missing = -9) 54 M 68 M 65