Assignment No.1 (Course STA 632)
Fall 2019(Total Marks 20)
Deadline
Your Assignment must be uploaded/ submitted before or on9 Dec., 2019,
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 concepts of modern tools of survey sampling and R codding.
Assignment No.1 (Lessons 10-18)
Question 1: Marks 3+4+3 =10
Find n_1, , and by proportional allocation from the following information.
=1580, =1140, =125, =114 and =440.
Explain the condition when (population following the linear trend).
Prove that for unequal cluster size.
Question 2: Marks 5+5=10
Prove that the variance of the sample mean by systematic sampling is:
Write simulated R coding program for generating 1000 samples of size 6 from systematic sampling by using following information. Also find the mean of each sample and the mean of means. 120,140,225,332,221,224,228,55,91,741,852,963,159,852,369,147,236,256,289,123,456,789,258,369,147,987,654,321,193,367,581,111,222,333,444,555,666
Assignment No.2 (Course STA 632)
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[image: H3vhU1m.png] from the following data and then find [image: NFAadgr.png] .
where, ∑P_j/(1-P_j )=1.456
[image: edL8RBI.png]
Question 2: Marks 5+5 = 10
a. Calculate expected value for the product estimator ( ) using the following information.
[image: exVmmzh.png]
b. Find the expected value of combined type regression estimator.
c. Find the separate type ratio estimator from the following information.
[image: Hws9scr.png]
STA632 GDB 1 Solution and Discussion
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Total Marks 5
Starting Date Monday, June 01, 2020
Closing Date Sunday, June 07, 2020
Status Open
Question Title Sampling Techniques
Question DescriptionDear Students,
Is there any difference between simple random sampling and random sampling? If yes then explain the types of random sampling.
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@zaasmi said in STA632 GDB 1 Solution and Discussion:
Is there any difference between simple random sampling and random sampling? If yes then explain the types of random sampling.
Random sample: every element of the population has a (nonzero) probability of being drawn. Simple random sample (SRS): every element of the population has the same (nonzero) probability of being drawn. SRS is thus a special case of a random sample.
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