A
1
2
3
4
5
6
7
8
9
10
11
12
13
B
C
D
E
F
G
1.5 The following information is collected from students
upon exiting the campus bookstore during the first week of
classes.
a. Amount of time spent shopping in the bookstore
b. Number of textbooks purchased
c.

2.11 Each day at a large hospital, several hundred laboratory
tests are performed. The rate at which these tests are done improperly
(and therefore need to be redone) seems steady, at
about 4%. In an effort to get to the root cause of these nonconformance

(a) less than 95
0.00621
Mean of sampling
distribution
(b) between 95 and
97.5
0.09944
Standard deviation of
sampling distribution
(c) above 102.2
(d) There is a 65%
chance that xx is above
what value?
0.13567
99.2294
100
2
7.30 According to Gallups poll

Given a standardized normal distribution (with a mean
of 0 and a standard deviation of 1, as in Table E.2), what is
the probability that
a. Z is less than 1.57?
b. Z is greater than 1.84?
c. Z is between 1.57 and 1.84?
d. Z is less than 1.57 or greater th

The following table contains the probability
distribution for the number of traffic accidents
daily in a small city:
a.
b.
a. Compute the mean number of accidents per day.
b. Compute the standard deviation.
Number of Accidents Daily (X)
0
1
2
3
4
5
P(X =

Data
Level of Significance
Number of Rows
Age Group
Generation Y
Generation X
Boomer
Mature
0.01
4 Enter # of Rows
3 Face to FacEmail
Other
6 Degrees of Freedom Calculated
16.81189 Critical Value Calculated
Chi-Square Test
Age Group
Generation Y
Generatio

z-test Proportions -Lower Tail
Z Test of Hypothesis for the Proportion
Data
Null Hypothesis
p=
Level of Significance
Number of Items of Interest
Sample Size
0.60
0.05
11
1000
Intermediate Calculations
Sample Proportion
0.011
Standard Error
0.0155
Z Test S

Means
Normal Probabilities
Common Data
Standard Deviation
Sample Size (n)
Mean
104
Standard Error
6
less than
Probability for X <=
X Value
95
Z Value
-1.5
P(X<=95)
0.0668
above
Probability for X >
X Value
104.2
Z Value
0.03333333
P(X>104.2)
0.4867
25
25
P

Confidence Interval Estimate for the Mean
Data
Population Standard Deviation
Sample Mean
Sample Size
Confidence Level
Intermediate Calculations
Standard Error of the Mean
Z Value
Interval Half Width
Confidence Interval
Interval Lower Limit
Interval Upper

a.
Backing History No Backing History Total
Successful
17667
19202
36869
Not Successfu
10921
20267
31188
Total
28588
39469
68057
Backing History No Backing History Total
Successful
26%
28%
Not Successfu
16%
30%
Total
42%
58%
54%
46%
100%
Backing History N

Normal
Normal Probabilities
Common Data
Mean
105
Standard Deviation
6
less than
Probability for X <=
X Value
95
Z Value
-1.6666667
P(X<=95)
0.0478
over, at least
Probability for X >
X Value
95
Z Value
-1.6666667
P(X>95)
0.9522
Probability for X<95 or X >9

Data
Sample Size
Probability of an event
10
0.5
Statistics
Mean
Variance
Standard Deviation
Binomial Table
x
0
1
2
3
4
5
6
10
5.000
2.500
1.581
P(X)
0.0010
0.0098
0.0439 >2
0.1172 <3
0.2051
0.3770
0.2461
0.2051
0.0010
a.
b.
c.
d.
0.7734
0.0547
Data
Sample

4.9 Referring to the contingency table in Problem 4.8, if a
large online retailer is selected at random, what is the probability
that
Yes
2009
2008
No
39
7
46
a.
61
93
154
100
100
200
b.
c.
d.
a. you needed three or more clicks to be removed from an
email

3.3 The following set of data is from a sample of n = 7:
a.
Mean:
12
7
4
9
0
7
3=
0
1
3
2
4
3
7
4
7
5
9
6
-6
-3
-2
1
1
3
6
36
9
4
1
1
9
36
96
96
6
16
0.666667
42
7
66.67%
12 7 4 9 0 7 3
Median:
a. Compute the mean, median, and mode.
b. Compute the range,

1.5 The following information is collected from students
upon exiting the campus bookstore during the first week of
classes.
a. Amount of time spent shopping in the bookstore
b. Number of textbooks purchased
c. Academic major
d. Gender
Classify each of th

3.3 The following set of data is from a sample of N=7
12 7 4 9 0 7 3
a. Compute the mean, median, and mode.
b. Compute the range, variance, standard deviation, and
coefficient of variation.
c. Compute the Z scores. Are there any outliers?
d. Describe the

6.1 Given a standardized normal distribution (with a mean
of 0 and a standard deviation of 1, as in Table E.2), what is
the probability that
a. Z is less than 1.57?
b. Z is greater than 1.84?
c. Z is between 1.57 and 1.84?
d. Z is less than 1.57 or greate

4.9 Referring to the contingency table in Problem 4.8, if a
large online retailer is selected at random, what is the probability
NEED THREE OR MORE CLICK
that
a. you needed three or more clicks to be removed from an
email list?
b. you needed three or more

lower limit
upper limit
83.040036015 86.959963985
8.10 The quality control manager at a light bulb
factory needs to estimate the mean life of a large
shipment of light bulbs. The standard deviation is 100
hours. A random sample of 64 light bulbs indicated

1
2
3
4
5
6
7
A hospital conducted a study of the waiting time in
its emergency room. The hospital has a main campus and
three satellite locations. Management had a business objective
of reducing waiting time for emergency room cases that
did not require

DATA FROM TEXT BOOK
Lab Tests Performed
Shifts
Day
Evening
Nonconforming
16
24
Conforming
654
306
Total
670
330
A.
Total
40
960
1000
TOTAL PERCENTAGES
Lab Tests Performed
Shifts
Day
Evening
Nonconforming
1.6%
2.4%
Conforming
65.4%
30.6%
Total
67.0%
33.0%

Number of Accidents Daily (X) P1X = xi2
0
1
2
3
4
5
a. Compute the mean number of accidents per day.
b. Compute the standard deviation.
Variance
2.00
11
0.10
0.20
0.45
0.15
0.05
0.05
0.00
0.20
0.90
0.45
0.20
0.25
ily (X) P1X = xi2
-0.4
0.2
0.2
2.4
3.8
4.8

9.3 If you use a 0.10 level of significance in a two-tail
hypothesis test, what is your decision rule for rejecting a
null hypothesis that the population mean is 500 if you use
the Z test?
_
Z0 =X-500
s/n
z(0.05)
My decision rule would be to reject the st