delete rows that have missing values for any variable in the d2 data and denote this new data by d3.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

1.   1. How many observations (number of rows) and Variables (columns) in the d1 data?

2. How many variables are numerical/continuous and how many are them are integers/discrete?

3.  Delete ID variable from the d1 data

4. Report the number of missing values for the variables MOFB, YOB, and AOR.

5.  Create d2 data from d1 data by selecting variables RMOB, WI, RCA, Religion, Region, AOR, HEL, DOBCMC,                   DOFBCMC, MTFBI, RW, RH, and RBMI variables.

6. Delete rows that have missing values for any variable in the d2 data and denote this new data by d3.

7.  Find the summary statistics of the d3 data.

8. Add a new variable in the d3 data by finding the average of DOBCMC, DOFBCMC and MTFBI.

9.  Create a new variable named “Newreligion” from Religion Variable by recoding ‘1’ as ‘1’ and rest as ‘2’.

10.   Find the frequency table for the Region variable

11.   Find the joint frequency table for the variables Region and Religion.

12.   Find the mean values of AOR variable corresponding to each label of Region variable.

13.   Find the variances of AOR variable corresponding to each label of Religion variable.

14.   Draw a boxplot for the MTFBI variable.

15.   Draw a histogram for the RCA variable.

16.   Draw a bar chart for the Region variable

17.   Draw a pie chart for the  Region variable

18.   Put above four figures (question 14 to question17) in a 2 by 2 grid

19.   Split the d3 data by WI variable and denote it by d4

20. For each split data in d4 write a single loop to find the mean, minimum, maximum, standard deviation of MTFBI

Attachments:

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