CHAPTER 7 Notes to the Instructor: The normal probability plots are constructed in Minitab using the command Normality Test under Basic Statistics. The analysis of variance is carried out using ANOVA
CHAPTER 5 Section 5-2 5-1. a) The parameter of interest is the difference in fill volume, 1 2 H0: 1 2 = 0 or 1 = 2 H1: 1 2 0 or 1 2 The test statistic is z0 = ( x1 x2 ) 0
2 1 2 +2 n1 n 2
x1 = 16.015 x
Section 3-10 3-127. a) E(X) = 300(0.4) = 120, V(X) = 300(0.4)(0.6) = 72 and
X = 72 .
100.5 120 = P ( Z 2.30) = 0.010724 Then, P ( X 100) P Z 72
b)
79.5 120 99.5 120 = P( 4.77 < Z 2.42) P (80 X < 10
IEE 380 Summer 2009 Quiz #14A
Name: _
Question 1. A 22 design of an experiment is set up as follows. The entries are a measure of warping on a copper plate. What are the hypotheses test(s) being done?
IEE 380 Summer 2009 Quiz #13A
Name: _
Question 1. A quality assurance engineer would like to fit a multiple regression model to the following data. The bearing wear is the dependent variable is and th
IEE 380 Summer 2009 Quiz #12A
Name: _
An article in the Materials Research Bulletin (Vol. 26, No. 11, 1991) reported a study of four different methods of preparing the superconducting compound PbMo6S8
IEE 380 Summer 2009 Quiz #11A
Name: _
One-hundred men were asked if they would vote for Candidate A; sixty-five of these men said they would. Two-hundred women were asked if they would vote for Candid
IEE 380 Summer 2009 Quiz #10A
Name: _
The times between two consecutive arrivals to an ATM machine have a pdf that is exponential with a mean of 5 minutes. What is the probability that the time betwee
IEE 380 Summer 2009 Quiz #9A
Name: _
In a poll of 50 people, 12 said that they would vote for Candidate A over Candidate B in an election. Is there evidence that the proportion of people voting for Ca
IEE 380 Summer 2009 Quiz #8A
Name: _
1. The time between arrivals of customers to an ATM, T ,is a random variable that is known to be exponentially distributed with a mean of hour. Show the pdf of T (
IEE 380 Summer 20091 Quiz #3
Name: _
An particular resistor has a probability of .2 of being failed by an inspector. An inspector either passes or fails an item. Four items are inspected. What is the
IEE 380 Summer 20091 Quiz #2
Name: _
Given the following probability mass function of X, graph the CDF of X. Label your axes and show all relevant values. Dont forget your arrows, too.
1 x p( x) = fo
IEE 380 Summer 2009 Quiz #1 3-17, 3-18
Name: _
X is the number of bars of service on your cell phone. The probability mass function of X is as follows: p(x) = .05 = .15 = .15 = .25 = .20 = .20 x=0 x=1
IEE 380 Summer 2009 Quiz #7A
Name:_
The time to complete a manual task in a manufacturing operation is considered to be a normally distributed random variable with known standard deviation of .05 minu
IEE 380 Summer 2009 Quiz #6A
Name:_
The time to complete a manual task in a manufacturing operation is considered to be a normally distributed random variable with mean .50 minutes and standard deviat
IEE 380 Summer 2009 Quiz #5A
a. Find a such that P(a < Z < .11) = .410295
Name:_
(.11) (a) = .410295 (a) = .133500, so a = -1.11
-(a) = .410295 - (.11) = .410295-.543795
b. X is the number of calls co
IEE 380 Summer 2009 Quiz #4A
Name:_
32 x for -1 < x < 1 is a valid probability 2
a. Using calculus (not your calculator) show that f ( x) =
density function.
3 3 f ( x)dx = x 2 dx = x 3 = 1 2 6 -1 x =
Statistical Process Control Chapter 8
1
Quality means.
Quality means:
Fitness for use Design integrity Conformance to specifications
Quality improvement means:
Reducing variability in products and
Decision Making for Two Samples
Chapter 5
Sections 5-1 through 5-4
2
True Story
In the 1980s, the Hughes Aircraft Co. (HAC) bought cryogenic coolers for their Bradley Fighting Vehicle night vision as
Decision Making for a Single Sample
Chapter 4
Sections 4-1 through 4-4
I will not be covering sections 4-1 through 4-4 in strict order
2
Statistical Inference
Statistical Inference uses methods to d
Chapter 3
s
Random Variables and Probability Distributions
Sections 3-1 through 3-3
2
Definition: Random Variable
s
Random variable:
A variable whose measured value can change
s
Some examples:
Numbe