sta301 assignment 1 solution fall 2018
sta301 assignment 1 solution fall 2018
**Don’t relay on my solution. Make changes before upload. I will not be responsible for your marks.**
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Assignment No.1 (Course STA 301)

 FALL 2018 (Total Marks 20)

Deadline

Your Assignment must be uploaded/ submitted before or on January 24, 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
    MathType 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 random variable.

                                                                                                                                        
Assignment # 01  (Lessons 23-28)

Question 1:                                                                                                                 Marks: 8+4+8

A continuous random variable X has the p.d.f


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