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