STA632 Assignment 2 Solution and Discussion


  • Cyberian's Gold

    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. Find801bea65-d169-45c6-80f3-64aafa3dd9a2-image.png from the following data and then find 02d58592-778a-4889-b1ff-18feab2f2167-image.png .
    where, ∑P_j/(1-P_j )=1.456
    26c7381c-175f-46c0-9426-5ca036a7c0c9-image.png

    Question 2: Marks 5+5 = 10
    a. Calculate expected value for the product estimator ( ) using the following information.

    b4b4cc60-f7d2-49f6-a3bc-f73d88cf40c8-image.png

    b. Find the expected value of combined type regression estimator.
    c. Find the separate type ratio estimator from the following information.
    199f11b6-8b13-47bd-b888-f8d2e1081896-image.png


  • Cyberian's Gold

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