BUS-352
Module #1
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
C
A) The probability that the sample mean X, is less than 95 is given by
Z=X-x/ x
95-100/2= Z=-2.5
The cumulative property value corresponding to the value of Z is 0.00621
B) The Z value of 97.5 is: Z=X-x/x=
97.5-100/2=Z=-1.25
The cumulative probabilities f
Given that the null hypothesis states that the mean is 500,
the rule will be found using the equation for the Z test,
Z stat= X-500/n, and scores for 0.05 and 0.95
Comparing to table of Z scores, the null hypothesis should be rejected if Z stat is less
th
A) The expected value (Mean) for each distribution can be calculated using the expected value formula
(0*0.1)+(1*0.2)+(2*0.45)+(3*0.15)+(4*0.05)+(5*0.05)= 2
B) cfw_[0-2]^2 0.1+[1-2]^20.2+[2-2]^2 0.45+[3-2]^2 0.15+ [4-2]^2 0.5+[5-2]^2 0.05=1.18
Given n=7 a
A) Question: Amount of time spent shopping in the bookstore
Numerical, becaue the amount of time spent in the store is a number.
Continous variable, because of the time spent shopping can be infinite number of values
The value is determineby a measurement
Statistics Integration
Christian Worldview and Ethics in Statistics
Jonathan B. Burgos
Grand Canyon University: BUS-352
11/12/14
Statistics Integration
2
Statistics is a study that permits the client to create expectations of financial from elite
applicat
7.15
= 100
= 10
n = 25
a. less than 95
P(z < 95) =
=
0.0062
(95-100)/(10/25)=
b. between 95 and 97.5 =
0.0994
P(z < 97.5) =
(97.5-100)/(10/25)=
`
-2.5
-1.25
C. above 102.2 =
0.1357
P(z >102.2) = 1-(102.2-100)/(10/25)= 1.1
d. there is a 65% chanse that X
8.1
X bar =
=
n=
85
8
64
95% confidence
1.96
Lower limit
83.04
Upper limit
86.96
8.1
X Bar =
=
n=
a. 95% confidence
350
100
64
24.50
Lower limit
325.50
Upper limit
374.50
b. The confidence interval does not contain a
value of 400, therefore the manufactur
Chapter 2
2.11
TOTAL PERCENTAGES
a.
SHIFT
LAB TESTS PERFORMED
DAY
EVENING
Nonconforming
1.6%
2.4%
Conforming
65.4%
30.6%
Total
67.0%
33.0%
TOTAL
4%
96%
100.0%
ROW PERCENTAGES
SHIFT
LAB TESTS PERFORMED
DAY
EVENING
Nonconforming
40.0%
60.0%
Conforming
68.1%
Chapter 2
2.11
TOTAL PERCENTAGES
a.
SHIFT
LAB TESTS PERFORMED
DAY
EVENING
Nonconforming
1.6%
2.4%
Conforming
65.4%
30.6%
Total
67.0%
33.0%
TOTAL
4%
96%
100.0%
ROW PERCENTAGES
SHIFT
LAB TESTS PERFORMED
DAY
EVENING
Nonconforming
40.0%
60.0%
Conforming
68.1%
Module 8 DQ 1
A market researcher is interested in knowing the type of training that works best for DVD
users. Thirty consumers are randomly selected from a population of known DVD owners (i.e.,
users). Ten users are trained by giving them the DVD user's
Year
Need three or more clicks to be removed
Yes
No
Total
2009
39
61
100
2008
7
93
100
Total
46
154
200
A) We want to find the probability for the randomly selected online retailer
three or more clicks are needs to be removed from the email list. From the
A) Contingency table based on total percentages of all 1000 tests performed is as shown below:
Percentage can be calculated using the formula given below:
Percentage= Number of tests in a cell/Total Number of Test * 100
Lab Tests Performed
Nonconforming
C
Question: 8.1 If = 85, = 8, and n =64 construct a 95% confidence
interval estimate for the population mean, .
Answer:
95% margin of error=
1.959964
Lower= 83.04
Upper= 86.95996
Question: 8.10 The quality control manager at a light bulb
factory needs to es
Question: 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
Question:
5.2 The following table contains the probability
distribution for the number of traffic accidents
daily in a small city:
a. Compute the mean number of accidents per day.
b. Compute the standard deviation.
Answer:
a. Mean= 2
b. Standard Deviation
Question: 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. De
Inputs:
Inputs:
Fitting a straight line to a set of data yields the following
prediction line:
= 16 - 0.5X
Outputs:
a. The meaning of Y intercept, b is the predicted value of Y when X equals O.
b. The meaning of slop, b is the predicted change of the val
Inputs:
X-Bar
S
n
Males
40.26
13.35
100
Females
36.85
9.42
72
The Null & Alternative Hypothese
H0: 1 = 2
Ha: 1 2
Level of Significance
Degrees of Freedom
t-Critical Values a Two-Tailed Test
a = 0.05
n1 + n2 -2 = 100 + 72 = 172
-1.974
1.974
Pooled Standard
Inputs:
Outputs:
Source
Degrees of
Freedom
Sum of
Squares
Among
Groups
c-1=3
SSA = 240
Within
Groups
n - c = 28
SSW = 560
Total
n - 1 = 31
SST = 800
Df (amoung) = c - 1 = 4 - 1 = 3
Df (within) = n - c = 32 - 4 = 28
Df (total) = n - 1 = 32 - 1 = 31
SSA = 8
Question: 7.15 Given a normal distribution with = 100 and
= 10, if you select a sample of n = 25, what is the probability
that is
a. less than 95?
b. between 95 and 97.5?
c. above 102.2?
d. There is a 65% chance that
is above what value?
Answer:
a. P( <
Question: 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 nonc
The objective of the study is construct ANOVA table. The summary statistics are as follows.
Number of Groups, c=4
Number of values in each group, n^j=8
Total number of values in all groups
N^1+n^2+n^3+n^4
8+8+8+8=32
Mean square among groups, MSA=80
Sum of
a) Let ^1 be the true mean computer anxiety experienced by males and ^2
be the true mean computer anxiety experienced by females.
Null hypothesis: There is no significant difference between the mean computer
anxiety experienced by males and females.
H^0:
Module 8 DQ 2
A client gives you a data set of 30 observed values that represent the number of gallons of
gas that 30 individual Nissan Sentra owners purchased at the gas pump last month. Your
client wants to know if the data set represents a normal distr
Module 7 DQ 1
Describe when a z-test should be performed as opposed to a t-test? Which (if any) can we
use all the time? Why or why not?
From what I have gathered after all the research and reading, the Z-test is fundamentally used
when dealing with probl
Name:
Shaniece Barnes
8a)
Rise
8b)
Fall
c)
Rise
d)
Fall
e)
Fall
f)
Fall
g)
Rise
h)
Fall
Mod 7, Chapter 36
HELP! Audio Explanation To Get You Started
Demand & Supply For Dollars: Page791-793 In Your Textbo
Explain Currency Exchange Rates
Score
Total Score
4.9 Referring to the contingency table in Problem 4.8, if an em-ployed adult is selected at random, what is the probability that
a. the employed adult felt tense or stressed out at work?
526/1501=0.35%
b. the employed adult was a male who felt tense or st