MCS 342 Problem Assignments

8.  Estimation

Sections
to read
Topics Problems to look at "File" problems Assigned
problems
Due Date
6.x
MCS 341
class
notes
Functions of random variables Extra credit: (1) Derive a formula for the pdf of XY when X and Y are continuous random variables having pdfs and P(X>0) = 1.
Determine formulas and graphs for the pdfs of X+Y, Y - X, XY, Y/X, and XY when X and Y are independent, uniform(0,1) r.v.s .
     
8.1
8.2
Introduction
Bias and MSE
8.12, ... 8.1 8.4 F 2/18
8.3
8.4
Common unbiased point estimators
Evaluating point estimators
8.21, ... Derive Table 8.1. 8.28, 8.29
8.5 Confidence intervals 8.39   8.40-8.41 M 2/21
8.6 Large-sample confidence intervals 8.51   8.50, 8.52
8.7 Selecting the sample size 8.60   8.58, 8.64 (Change mu1=mu2 to n1=n2.) W 2/23
8.8 Small-sample CIs for mean and differences 8.70, 8.71   8.72, 8.76
7.2
8.8
Extra credit Derive the t distribution. [Follow 7.72 or the approach in class.]     W 2/23
  Review     Find the distribution of the minimum Y(1) of a random sample from an exponential(beta) population. Also, E(Y(1)) = ? V(Y(1)) = ? F 2/25
8.9 Confidence intervals for variances 8.81 8.84 8.82
7.2 F distribution 7.13, 7.15, 7.18
Extra credit: 7.73
    F 2/25

"Problems to look at" are not to be turned in if they're not extra credit problems.

Keep "file" problems in a file for occasional inspection.

Turn in "assigned problems" on the given due date at the start of class.

Homework rules

Honor pledge: "On my honor, I pledge that I have not given, received, or tolerated others' use of unauthorized aid in completing this work."