Brian Banks
Math 533, Course Project
Part A
Introduction
AJ Davis Department store would like to research and analyze more information about their credit
customers. AJ Davis management team will conduct a sample survey of their customers who choose to
mak
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Case: Statistics in Action: Legal AdvertisingDoes It Pay? (graded)
Read the Case: Statistics In Action: Legal AdvertisingDoes It Pay?, and answer the following
ques
MATH/GM 533 Final Exam
1. (TCO D) PuttingPeople2Work has a growing business placing out-of-work MBAs. They
claim they can place a client in a job in their field in less than 36 weeks. You are given the
following data from a sample.
Sample size: 100
Popula
Problem 1
Several years ago, a government agency reported the default rate (the proportion of borrowers who
default on their loans) on a certain type of loan at 0.045. Set up the null and alternative hypotheses to
determine if the default rate this year i
Statistics Course Project Part A
Statistics Course Project Part A
Applied Managerial Statistics 553
Professor Lennon Safe
Presenter Martin Marcelle
February 22, 2017
0
Statistics Course Project Part A
1
Introduction
The assign project data provided was us
Math 533 Applied Managerial Statistics
November 2014 Prof. Lennon Safe
Project Part A Explanatory data analysis
A) Brief Introduction
The set contains information of 50 customers who were selected for data collection based
on five variables: Location, Inc
Answer
The length of time to do a cable installation by
Multi-Cable Inc. is normally distributed with a mean of
42.8 minutes and a standard deviation of 6.2 minutes. What
percentage of installations take less than 30 minutes?
x = The length of time to do
Question 1
(A) If a visitor is chosen at random, what is the probability that he or she is either from the South
or from the West?
total people = 2459
south + west = 1368 + 405 = 1773
probability - divide these:
1773/2459 = approx 0.721
(B) Given that the
Data
Mean
Median
Mode
Variance
Standard Deviation
Range
Count (n)
Min
Quartile 1
Median
Quartile3
Max
Interquartile Range (IQR)
#DIV/0!
#VALUE!
#VALUE!
#DIV/0!
#DIV/0!
0.0000
0
0
#VALUE!
#VALUE!
#VALUE!
0
#VALUE!
z-score
x
Mean
StDev
z-score =
z-score
#DI
Expected Value
x
P(x)
= E(x) =
xP(x)
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
Binomial Distribution
n
Probability = x
1.00000
Probability < x
Err:502
Probability x
1.00000
Probability > x
0.00000
P
MATH533 Final Exam Study Guide
The Final Exam covers all the material covered in the course. It is based on the topics discussed in the
homework and quizzes from each of the 7 weeks of the course. In total there are 27 questions on the
Final Exam.
A solut
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Week 1: Data Organization and Analysis - Discussion
Descriptive Stats: ETHICS and Workplace Applications (graded)
Statistics in Action Case "Factors That Influence
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Case: Let's Make a Deal (graded)
A number of years ago, there was a popular television game show called Let's Make a Deal. The
host, Monty Hall, would randomly sele
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Week 3: The Normal Distribution, Sampling Distributions - Discussion
Ethics in Statistics: Readings and Discussion (graded)
1. Why is it important to study ethics i
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Week 4: Hypothesis Testing I: Basics and Confidence Intervals Discussion
Case: Statistics in Action: Medicare Fraud Investigations (graded)
Read the selection in yo
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Week 5: Hypothesis Testing II: One Sample Hypothesis Tests - Discussion
Case: Statistics in Action: Diary of a Kleenex User (graded)
Read the selection in your text
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Case: Statistics in Action: Bid-Rigging in the Highway Construction Industry (graded)
Read the Case: Statistics in Action: Bid-Rigging in the Highway Construction I
Course Project Part A
Analysis of AJ Davis Department Stores
Brent Heard
Math 533
Please Note That I Changed the Data
The main thing I want you to get from this is the learning experience and understanding
that the final product is important! A good concl
Normal Distribution
Mean
55
StDev
17.0000
Probability Calculations (starts
with an x-value and you are
computing a probability) X to P
P(X < x)
x
x
P(X > x)
x1
P(x1 < X < x2)
x
46.0852
P( > x)
70%
x1
P(x1 < X < x2)
Inverse Calculations (starts with
a prob
Confidence Interval
Confidence Interval for
Confidence Interval for p
Confidence Level
n
Mean
StDev
These values reflect your
confidence interval
SE
t
Margin of Error
Lower Limit (x-bar - E)
Upper Limit (x-bar + E)
90%
0
1
1.8
#DIV/0!
Err:502
#DIV/0!
#DI
Hypothesis Test
Hypothesis Test for
Level of Significance
Mean under H0
n
Sample Mean
StDev
Hypothesis Test for p
0.01
5.61
11
1.5
13.1
(decimal)
SE 3.9498
t Test Statistic -1.041
One-Sided p-value 0.161292
Two-Sided p-value 0.322584
Level of Significanc