# This lab might seem similar to the previous lab, and it is!
# But there are some subtle differences. The main difference is
# the emphasis this lab places on the concept of a confidence interval,
#
Quick reminder of the general instructions:
1) Write code that actually works.
2) Feel free to cut/paste from the lab material you have already typed in.
3) use your up/down arrows to expedite matter
General instructions: for all quizes:
1) Write code that actually works.
2) Feel free to cut/paste from the lab material you have already typed in.
3) use your up/down arrows to expedite matters.
4)
HW Set 4: Due 4/27 in quiz session. HW9: 3.21(c,d; use the printout given in the problem as much as possible.), 3.22 (By computer. The statement "assess the quality of the fit, ." means "Compute Rsq
Probability and Statistics in Engineering and Science
STAT 390

Winter 2012
STAT 390: Probability and Statistics in Engineering and Science
Professor: Caren Marzban
Department: Statistics
STAT 390 Homework Set 2
Bellshaped:
The book mentions height, weight, measurement error
Stat 390, Homework set #5
Due Wednesday, February 22, 2012
Problem 1. Chapter 6, Problem 6.6 A bin of 5 transistors is known to contain
2 that are defective. The transistors are to be tested, one at a
HOMEWORKS 58
1.64.
(a) Let x denote the number of units that fracture. Then x is binomial with n = 25, = .20 and we can use Table II. Proportion(x 10) = .011 + .004 + .002 + .000 + .+ .000 = .017. (b
# Sampling Distribution:
# In class, we have seen the mathematical derivation of the mean and variance
# of the sampling distribution of a statistic; the two statistics we have
# discussed have been
Consider writing onto a computer disk and then sending it through a certifier that counts the number of missing pulses. Suppose this number x has a Poisson distribution with parameter lambda=0.2 . a.
# The following will illustrate some of the concepts we introduced during last
# week.
# 1) Let's get a feeling of what a Normal qqplot looks like for
# different kinds of distributions. Recall, that
ID: __________________________ __
Quiz section or time: _________________ __
575K
Stat/Math 390, Autumn, Test 1, Oct. 21, 2011; Marzban
CLOSED everything. ONLY a halfsize cheat sheet is allowed. No
Statistical Methods in Engineering and Science, STAT/MATH 390
This is a uid syllabus, so check frequently for changes in colors
Instructor: Caren Marzban (The best way to reach me is email)
Class Time
# Your TA will show you how to launch R.
# Then, start typingin the code below  not the comments which appear after #.
#
# For most of the lab sessions you will type things in on your own. This is
# In this lab, we will look at three of the distributions we've been talking
# about in class (binomial, poisson, normal) and more. We will also learn how
# to *generate* data that have (or come fro