Chapter 14 Solutions
14.1. The researchers are seeking to predict IQ from brain size. Thus, there is an explanatory
variable (brain size). The response variable is IQ. The following is a scatterplot of the data:
140
130
IQ
120
110
100
90
80
90
95
100
Brai
Chapter 13 Solutions
13.1. The middle 95% of any Normal distribution lies within two standard deviations of the
mean. Two standard deviations is 5 inches here, so the middle 95% of young mens heights is
between 65 inches (thats 70 5) and 75 inches (thats
decision
obj
ovr time DC1 June
ovr time DC2 June
ovr time DC1 July
ovr time DC2 July
loading DC1 June
loading DC2 June
loading DC1 July
loading DC2 July
Demand june
Demand july
d1r1
d1r2
d2r1
d2r2
r1e
r1l
r2e
10
20
25
5
2
4
1.5
r2l
d1o
d2o
3.5
1
2
d1oj
d2
STA1020.2015.F1
STA 1020 Final Exam
Fall 2015
Directions:
Make sure to read all directions for each problem carefully. Use proper units where required. For all graphs
and tables, make sure to include all elements. Also make sure all work is shown and clea
CHAPTER 13
Kishan Ashok Savani fx8203
13-5. a) Analysis of Variance for STRENGTH
Source DF
SS
MS
F
P
COTTON 4 475.76 118.94 14.76 0.000
Error 20 161.20 8.06
Total 24 636.96
strength.
Reject H0 and conclude that cotton percentage affects mean breaking
b) T
PROBLEM 6-93
The pattern of the data indicates that the sample may not come from a normally distributed population,
and seems to be light tailed distribution and that the largest observation is an outlier. Note the slight
bending downward of the sample da
CHAPTER 12
Kishan Ashok Savani fx8203
12-74. a) R 2 8.1 %
b) Assumption of normality appears is not adequate.
Normal Probability Plot of the Residuals
(response is ARSNAILS)
99
95
90
Percent
80
70
60
50
40
30
20
10
5
1
-1.0
-0.5
0.0
0.5
1.0
1.5
Residual
c
PROBLEM 6-93
The probability plot of the data indicates that the piston ring diameter has non normal distribution, and
seems to be a distribution with positive skew and that the largest observation is an outlier. Note the
points on both the ends of plot f
Probability Plot of C1
Normal - 95% CI
99
Mean
StDev
N
AD
P-Value
95
90
Percent
80
70
60
50
40
30
20
10
5
1
21.0
21.5
22.0
22.5
C1
23.0
23.5
24.0
22.50
0.3783
5
0.220
0.669
Probability Plot of C1
Normal - 95% CI
99.9
Mean
StDev
N
AD
P-Value
99
Percent
95
Chapter 11
Kishan Ashok Savani fx8203
Minitab and graphs
11-9
a)
y
60
50
40
850
950
1050
x
Use the results of Exercise 11-5 to answer the following questions
a)
R 2 99.986%
; The proportion of variability explained by the model.
b) Yes, normality seems to
1. Sample statistics and population parameters Jla A3
A researcher is interested In knowing the average height of the women in a vlllage. To the researcher, the population
of Interest is the women if in the vlllage, the relevant populatlon data are the he
Ch 13 HW solutions
13-5, 15, 21, 34, 42, 47
13-5
In Design and Analysis of Experiments, 8th edition (John Wiley & Sons, 2012), D. C. Montgomery described an
experiment in which the tensile strength of a synthetic fiber was of interest to the manufacturer.
CHAPTER 12 SOLUTIONS
12-6, 16, 38 , 60, 74, 100
Sections 12-1
12-6
A regression model is to be developed for predicting the ability of soil to absorb chemical
contaminants. Ten observations have been taken on a soil absorption index (y) and two regressors
Applied Statistics and Probability for Engineers, 6th edition
December 31, 2013
CHAPTER 8 HW Solutions
8-12, 25, 30, 36, 55, 63, 100
Section 8-1
8-12
99% Two-sided CI on the diameter cable harness holes: where x =1.5045 , = 0.01 , n=10 and
z0.005 = 2.58
x
CH 6 HW Solutions
6-93.
The pattern of the data indicates that the sample may not come from a normally
distributed population or that the largest observation is an outlier. Note the slight bending
downward of the sample data at both ends of the graph.
6-1
WAYNE STATE UNIVERSITY
INDUSTRIAL & MANUFACTURING ENGINEERING
IE 6210 Winter 2014 MW 3:00 - 4:50 pm
Instructor:
Dr. Olga Makar-Limanov
Communication:
Office:
E-mail [email protected]
Office Hours:
by appointment
Blackboard
Website:
Course
Prerequisite:
Stu
7
CHAPTER OUTLINE
Chapter 7 Title and Outline
Sampling
Distributions and
Point Estimation of
Parameters
1
Learning Objectives for Chapter 7
After careful study of this chapter, you should be able to do the
following:
1. Explain the general concepts of est
6
Descriptive Statistics
CHAPTER OUTLINE
Descriptive statistics
1
Learning Objective for Chapter 6
After careful study of this chapter, you should be able to do
the following:
1.
2.
3.
4.
5.
6.
7.
Compute and interpret the sample mean, variance, standard