# 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,
# and what it is expected/designed to do.
# The first ta
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) When the quiz says "Write code ." send the code ONLY (N
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 Rsquared and interpret it.") 3.25(b,c,d; by hand) . HW10:
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 matters.
4) When the quiz says "Write code ." send the code O
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 time, until the
defective ones are identied. Denote by
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 errors, reaction times
in psychological experiments, . numer
# 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 1) sample mean and 2) sample proportion. Here you will
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) Proportion(x 5) = .004 + .023 + .071 + .136 + .187 +
# 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 if the data comes from a
# Normal distribution, then i
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. What proportion of disks have exactly one missing pulse
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
Week 2 Lecture Notes
The following stemandleaf display was constructed using MINITAB:
A typical data value is somewhere in the low 2000's
The
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
Section 1.4 Notes
a. Proportion (z 2.15) = .9842 (Table I)
Proportion (z < 2.15) will also equal .9842
The z distribution is continuous
b. Us
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
Section 1.3 Notes
The density curve forms a rectangle over the interval [4, 6]
For this reason, uniform densities are also called rectangular d
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
Numerical Summary Measures Notes
The three quantities of interest are:
Their relationship is as follows:
For the strength observations:
(a) The
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
Chapter 7 Notes
(b) The number of batches with at most 5 nonconforming items is, which is a proportion
of 55/60 = .917
The proportion of batche
Stat 390, Homework set #6
Due Wednesday February 29, 2012
Problem 1. This problem consists of two problems from the textbook: Chapter
7, Problems 7.30. and 7.33.
Chapter 7, Problems 7.30. If X and Y are independent and identically
distributed with mean an
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
Simulation Generation of Data Notes
Simulation (i.e. generation of data) from mass and density functions:
Imitation of the operation of a real
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
Boys and Girls Statistics Notes
Problem:
The variable is the "percentage of time student attends lectures", and the two groups are
boys and gir
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
Week 1 Lecture Notes
Two Types of Statistics:
Data: cases, variables
Descriptive and Inferential
Descriptive:

Median

Mode

Range

Histogr
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
Boxplots Lecture Notes
Boxplots of data are a means of summarizing the data into five numbers that
capture the shape of the histogram
The five