Fall 2019 (Total Marks 20)

Deadline

Your Assignment must be uploaded/ submitted before or on Jaunary 30, 2020,

Time 23:59

(STUDENTS ARE STRICTLY DIRECTED TO SUBMIT THEIR ASSIGNMENT BEFORE OR BY DUE DATE. NO ASSIGNMNENT AFTER DUE DATE WILL BE ACCEPTED VIA E.MAIL).

Rules for Marking

It should be clear that your Assignment will not get any credit IF:

The Assignment submitted, via email, after due date.

The submitted Assignment is not found as MS Word document file.

There will be unnecessary, extra or irrelevant material.

The Statistical notations/symbols are not well-written i.e., without using Math Type software.

The Assignment will be copied from handouts, internet or from any other student’s file. Copied material (from handouts, any book or by any website) will be awarded ZERO MARKS. It is PLAGIARISM and an Academic Crime.

The medium of the course is English. Assignment in Urdu or Roman languages will not be accepted.

Assignment means Comprehensive yet precise accurate details about the given topic quoting different sources (books/articles/websites etc.). Do not rely only on handouts. You can take data/information from different authentic sources (like books, magazines, website etc.) BUT express/organize all the collected material in YOUR OWN WORDS. Only then you will get good marks.

Objective(s) of this Assignment:

The assignment is being uploaded to build up the following concepts.

Unequal probability sampling

Ratio and regression estimator

Product estimator

Assignment No.2 (Lessons 23-33)

Question 1: Marks 3+7 = 10

a. Derive the comparison of Ratio Estimator with Mean Per Unit Estimator.

b. Find from the following data and then find .

where, ∑P_j/(1-P_j )=1.456

Question 2: Marks 5+5 = 10

a. Calculate expected value for the product estimator ( ) using the following information.

b. Find the expected value of combined type regression estimator.

c. Find the separate type ratio estimator from the following information.

Fall 2019 (Total Marks 20)

Deadline

Your Assignment must be uploaded/ submitted before or on Jaunary 30, 2020,

Time 23:59

(STUDENTS ARE STRICTLY DIRECTED TO SUBMIT THEIR ASSIGNMENT BEFORE OR BY DUE DATE. NO ASSIGNMNENT AFTER DUE DATE WILL BE ACCEPTED VIA E.MAIL).

Rules for Marking

It should be clear that your Assignment will not get any credit IF:

The Assignment submitted, via email, after due date.

The submitted Assignment is not found as MS Word document file.

There will be unnecessary, extra or irrelevant material.

The Statistical notations/symbols are not well-written i.e., without using Math Type software.

The Assignment will be copied from handouts, internet or from any other student’s file. Copied material (from handouts, any book or by any website) will be awarded ZERO MARKS. It is PLAGIARISM and an Academic Crime.

The medium of the course is English. Assignment in Urdu or Roman languages will not be accepted.

Assignment means Comprehensive yet precise accurate details about the given topic quoting different sources (books/articles/websites etc.). Do not rely only on handouts. You can take data/information from different authentic sources (like books, magazines, website etc.) BUT express/organize all the collected material in YOUR OWN WORDS. Only then you will get good marks.

Objective(s) of this Assignment:

The assignment is being uploaded to build up the following concepts.

Unequal probability sampling

Ratio and regression estimator

Product estimator

Assignment No.2 (Lessons 23-33)

Question 1: Marks 3+7 = 10

a. Derive the comparison of Ratio Estimator with Mean Per Unit Estimator.

b. Find from the following data and then find .

where, ∑P_j/(1-P_j )=1.456

Question 2: Marks 5+5 = 10

a. Calculate expected value for the product estimator ( ) using the following information.

b. Find the expected value of combined type regression estimator.

c. Find the separate type ratio estimator from the following information.