Part I. Graphical Descriptive Statistics3
Part II. Binomial Probability Distribution4
Part III. Inferential Statistics5
Part IV. One Sample Hypothesis T-test5
Part V. Two Sample Hypothesis T-test6
Part VI. Paired (matched) Observation – Two Populations Hypothesis6 Part VII. Linear Regression and Correlation Study7
Part VIII. ANOVA – One-Way Test of Variance7
Part XI. Chi-square Goodness-of-Fit Test7
Part X. Chi-square Independence Test7
Conclusion7

Appendix A:9
Introduction

The measurement of safety performance is a hot topic in most companies today. Safety performance measurements seek to answer such questions as how do we compare to others? Are we getting better or worse over time? Is our management of safety effective (doing the right things)? Safety differs from many areas measured by managers because success results in the absence of an outcome (injuries or ill health) rather than a presence. As the scope of safety is vast, many stakeholders who are not safety professionals do not see safety as in such a broad way. They see “no injury” as good and “injury” as bad and that where it ends. This is one reason why incident rates and worker’s compensations costs have moved their way to the forefront of safety metrics. As an employee of a Facilities Engineering Command (a federal agency), working in the Operations Division, my role as an analyst requires me to gather and review metrics. Our safety metrics are very important to our organization as the safety and health program is dedicated to establishing a safety conscious culture throughout the command, ensuring that safe facilities are designed and constructed, ensuring that facilities and equipment are maintained in a safe, operating condition, eliminating facility, public works, and contact-related injuries and illnesses. In this paper will...

...Elementary Concepts in Statistics. In this introduction, we will
briefly discuss those elementary statistical concepts that provide the necessary
foundations for more specialized expertise in any area of statistical data analysis. The
selected topics illustrate the basic assumptions of most statistical methods and/or have
been demonstrated in research to be necessary components of one's general
understanding of the "quantitative nature" of reality (Nisbett, et al., 1987). Because of
space limitations, we will focus mostly on the functional aspects of the concepts
discussed and the presentation will be very short. Further information on each of those
concepts can be found in the Introductory Overview and Examples sections of this
manual and in statistical textbooks. Recommended introductory textbooks are:
Kachigan (1986), and Runyon and Haber (1976); for a more advanced discussion of
elementary theory and assumptions of statistics, see the classic books by Hays (1988),
and Kendall and Stuart (1979).
• What are variables?
• Correlational vs.
experimental research
• Dependent vs. independent
variables
• Measurement scales
• Relations between variables
• Why relations between
variables are important
• Two basic features of every
relation between variables
• What is "statistical
significance" (p-value)
• How to determine that a
result is "really" significant
•...

...
UNIVERSITY OF LA VERNE
COLLEGE OF BUSINESS AND PUBLIC MANAGEMENT
BUS 500C
QUANTITATIVE & STATISTICALANALYSIS
COMPREHENSIVE FINAL EXAMINATION
1. The personnel director for a business organization has identified 10 individuals as qualified candidates for 3 managerial training positions her firms seeks to fill. Use the appropriate rule to give the number of different combinations of the 10 individuals who could be chosen for the 3 positions.
As discussed in class we would use the combination approach. The primary reason is that they are all identical (qualified) positions and thus the order would not matter.
Data: The variable is the total number of elements = n (3) and r (10) designates the number of groups and is expressed by the following formula from our textbook (Keller, 2012).
The formula that produces the result of 120 combinations is.
= 10! = 10x9x8x7x6x5x4x3x2x1 3628800 = 120
3(10-3)! (3x2x1)(7x6x5x4x3x2x1) = 6(5040)
2. The president, vice president, secretary, and treasurer are to be selected from a group of 10 candidates. Use the appropriate rule to give the number of ways the positions may be filled.
Based on class discussion and my studies, and the facts provided, the permutation rule would be used to determine the answer. Applying this formula there would be 5040 permutations.
Order would matter, because there is a order or value to the four positions and each of the candidates could be combined...

...MBA Business Statistics
Homework 1
Reminders:
1. Due date: Jan-14-2012 (Saturday) in class.
2. Please submit only the hardcopy.
3. Please show the names and ID numbers of all your group members on the cover page. Please also
indicate your session (DSME5110W).
1.
Problem 2.1 (p. 33)
The file P02_01.xlsx indicates the gender and nationality of the MBA incoming class in two
successive years at the Kelley School of Business at Indiana University.
a. For each year, create tables of counts of gender and of nationality. Then create column charts of
these counts. Do they indicate any noticeable change in the composition of the two classes?
b. Repeat part a for nationality, but recode this variable so that all nationalities that have counts of 1
or 2 are classified as Other.
2.
Problem 2.5 (p. 33)
The file DJIA Monthly Close.xlsx contains monthly values of the Dow Jones Industrial Average
from 1950 through 2009. It also contains the percentage changes from month to month. (This file will
be used for an example later in this chapter.) Create a new column for recoding the percentage
changes into six categories: Large negative (< -3%), Medium negative (< -1%, ≥ -3%), Small
negative (< 0%, ≥ -1%), Small positive (< 1%, ≥ 0%), Medium positive (< 3%, ≥ 1%), and Large
positive (≥ 3%). Then create a column chart of the counts of this categorical variable. Comment on its
shape.
3.
Problem 2.6 (p. 55)
The file P02_06.xlsx lists the average time (in...

...StatisticalAnalysis
The analysis of the data from the study of Barnes & Noble stores is in two stages, the descriptive study and inferential statistical study. Initially, the Team will distribute and collect the questionnaires. The use of classification will summarize the data and express it in the tabular form for better understanding of the data. For example, if the questionnaires consist of information from males and females, the data is putinto two categories and expressed in a table form. A proper graphical method can display the data summation. As an example, the display of information can be in a pie chart or simple bar chart of different categories like people who prefer to read electronic books and people who prefer to read hard copy books. Finally, a proper statistical hypothesis testing method can answer the research questions in the questionnaire. In the Barnes & Noble case study, the hypothesis test that proportion of people who prefer to read the electronic copy of books is larger than the proportion of people who prefer to read hard copy books. The hypothesis test consists of equality of proportions of two populations. The hypothesis test can assist in determining if the emergence of electronic copy of books is reducing the prices of hard bound and paperback books.
Analyzing the Data
The selection of the analysis is based on two things: the way...

...to create a multiple regression anlysis for this problem. Please provide as much explanation as you can. Please see attached files.
My research is based on this topic below. The data is attached in the spreadsheet. This is a multiple regression analysis. I have attached a PDF file that explains the case and the spreadsheet version with all the data recorded from the PDF file. Pleas emae sure you include all the graphs, plots and please use megastat software.
Topic:
We want to determine the primary factors that affect property crime rates in the United States. The statisticalanalysis of the data involves multiple-regression analysis.
Questions to answer are:
1. What are the primary determinants of property crimes in the United States?
2. What would you like to know about property crime rates that cannot be answered by this data set?
3. How does population density affect property crime rates? Is this expected?
You will want to prepare a summary of your findings to present to a management team from a national crime department. You will find and explain the regression model using a non technical discussion to explain the important factors affect on the property crime rate.
Answer
Multiple regression analysis can be used to model property crime in United States . The regression model suggested is of the form.
Crimes = b0+b1Pincome + b2Dropout +b3Pubaid+b4density+ b5Kids+...

...Assignment #3
Constructing a Methodology for StatisticalAnalysis
Christian Diener
998029324
Anthony Chum
Research Problem
As pollution continues to rise in our cities due to various human activities, the incidence of cancer also seems to be increasing. The study of cancer is important because it is a major health problem in today’s society. Not only is it a significant contributor to deaths all around the world but it also affects our economy as a whole. It affects the economy because people who develop cancer are forced to take off work in order to go through the many treatments of radiation and chemotherapy, which in turn has a severe impact on the economy due to the millions of dollars lost in productivity. It is also a financial burden on people due to them losing their job which makes it harder for them to pay the bills and provide themselves with basic needs. So, overall cancer affects a lot of aspects in people’s lives and not just their own lives. Therefore it is an important issue to study and my research question therefore is: Is there significant difference in health related problems, specifically cancer, amongst residents in different regions of the Greater Toronto Area?
Specific Research Questions
The following are more specific questions based on my general research topic:
Is there a significant difference in the prevalence of cancer between men and women?
* Null Hypothesis: There is no significant difference in...

...
StatisticalAnalysis and Application of Charts
Presented To: Mam Ayesha IftikharPresented By: Hassan Bashir
Roll Number: bba02141016
Program : BBA
Semester : 2nd
Date: 19-Oct-2014
Research Questionnaire/ Objective:
Analysis of quantitative and qualitative data
Uses of appropriate charts under the specific/general scenario.
To ensure that statistical tools are the important for decision making.
Type of Data:
Quantitative Data
Qualitative data
Quantitative Data:
Quantitative data is data expressing a certain quantity, amount or range. Usually, there are measurement units associated with the data, e.g. meters, in the case of the height of a person.
Qualitative data:
Qualitative data is information about qualities; information that can't actually be measured. Some examples of qualitative data are the softness of your skin, the grace with which you run, and the color of your eyes. However, try telling Photoshop you can't measure color with numbers.
Charts:
Pie Chart
Line Chart
Histogram
Flow Chart
Time Line Chart
5518206524001. Pie Chart:
A pie chart is divided into sectors, illustrating numerical proportion. In a pie chart, the arc length of each sector (and consequently its central angle and area), is proportional to the quantity it represents. While it is named for its resemblance to a pie which has been sliced, there are variations on the way it can be presented.
No .of securities Volume...

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