Homework assignments

Homework assignments

Homework 1: 1.25, 1.34, 1.43, 1.54, 1.60, 1.63, 1.74, 1.77, 1.79, 1.81 (due Friday 1/18)


Homework 2: 2.3, 2.9, 2.13, 2.19, 2.21, 2.24, 2.31, 2.33, 2.41 (due Friday 1/25)
Homework 3: 2.38, 2.45, 2.49, 2.59, 2.63, 2.64, 2.69, 2.71, 2.78, 2.85 (due Friday 2/1)
Homework 4: 2.75, 2.82, 2.108, 2.111, 3.5, 3.9, 3.12, 3.16, 3.23, 3.29, 3.36 (due Friday 2/8)
Homework 5: 3.31, 3.34, 3.43, 3.46, 3.49, 3.61 (due Thursday 2/14)
Homework 6: 3.52, 3.59, 3.60, 3.64, 3.65, 3.68, 3.75, 3.76, 3.83 (due Friday, 2/22)
Note : problems 3.75, 3.76, 3.83 will be part of homework 7. If you did submit them with homework 6 it is perfectly fine.
Homework 7: 3.75, 3.76, 3.83 (from previous homework), 3.69, 3.78, 3.86, 3.92, 3.103, 3.114 (due Friday, 3/1)
Homework 8: 4.3, 4.5, 4.6, 4.8, 4.16, 4.20, 4.25, 4.33 (due Thursday 3/7)
Homework 9: 4.34, 4.37, 4.42, 4.45, 4.57, 4.59, 4.62, 4.68, 4.104, 4.110, 4.111 (due Friday 3/22)
Homework 10: 4.80, 4.86, 5.3, 5.4, 5.10, 5.12, 5.14, 5.15, 5.22 (due Tuesday 4/9)
Homework 11: 5.38, 5.40, 5.46, 5.47, 5.54, 5.55, 5.62, 5.64, 5.65, 5.78, 5.83, 6.8, 6.22, 6.23, 6.29 (due Friday 4/19)
[Solutions to problems 6.22, 6.23, 6.29 ( ps file, pdf file)]

In addition the following problem:
Carry out a simulation experiment using MINITAB (see details below) to study the sampling distribution of the sample mean when the population is:
a. Uniform on the interval (0,1)
b. Exponential with mean 1.
Consider in each case three sample sizes n = 5, 20 and 100 and use k = 500 replications. Discuss your findings (in the spirit of examples 5.22 and 5.23 in the book), compare the results for the two populations and relate them to the central limit theorem.

Using Minitab for windows for the simulation experiment:

1. Generating the random samples:

Calc -> random data -> (specify distribution, uniform or exponential)
generate 500 raws of data (k=500 the number of random samples)
store in columns C1-C5 (for sample size n=5 and similarly for n=20 or 100)
specify the parameters of the distribution

2. Calculate the statistic:

Calc -> Row statistics
specify statistic of interest (mean for the problem)
input variables C1-C5
store result in C6

Finally, C6 contains 500 realizations from the sampling distribution of the sample mean when n=5. Obtain a histogram (Graph -> Histogram) and numerical measures (Stat -> basic statistics -> display descriptive statistics) to summarize this sampling distribution.


thanos@stat.duke.edu
Last updated 4/25/02