OBJECTIVE:
To understand the different business Research by using the different tools and techniques

METHODS:

Simple linear regression
Multiple regressions
Correlation
Forecasting

Company Description

From a humble beginning to a household name, from a rather humble beginning with one rented outlet in Lahore in 1974, to becoming the largest selling ladies? shoes brand in Pakistan and the largest ladies shoes retail network in the country as well, Stylo Shoes has come a long way.

. Over the years, Stylo has slowly but surely become a household name that has captured the imagination of women who consider footwear an essential part of their appearance. It is no wonder then that Stylo is, today, popularly acknowledged as one of Pakistan?s leading footwear and accessory brands in women?s fashion

...Introduction
The old adage ‘what gets measured improves’ is reflected in the dramatic increase in the range and scope of data being collected today. We are barraged with statistics on sports results, economic indicators and politics: people are becoming familiar with scoring averages, inflation rates and voter satisfaction surveys. The advent of low-cost personal computers combined with the widespread availability of powerful computing software, such as Excel, means that many people have both large data sets and powerful tools with which to analyse them.
In this report, a data set collected by the author, in an observational study, is analysed. The data set contains three variables;
Project Score; the score accumulated by each student prior to sitting the end of term exam.
Attendance Score; calculated as a percentage of term lectures attended.
Final Score; the score accumulated by each student and calculated using the weighted average of the project and exam scores.
The analysis considers a variety of different methods to represent and reduce the data-set, the results presented are discussed briefly and the most appropriate family of measures for the data-set identified.
Organisation providing Data Source
The University of Limerick was established in 1972 as the National Institute for Higher Education: Limerick, and achieved university classification...

...Final Project: Statistics II
Descriptive analysis of statisticaldata
INTRODUCTION
There have always been crimes, from a treachery to an assassination. Happens in every country you can think of, and every government has to deal with it. It is really stressful to try to understand the nature of the crimes: why are they done and where could they happen next. Out of this preoccupation is that we found studies gathering data from communities; we focused on one specific crime: murders.
In several communities, it is thought that the murder rate is somehow related to several factors. For instance, it is common to hear that the murder rate depends on poverty and unemployment. Starting from this hypothesis, the database found to make this analysis relates the number of murders per year per 1,000,000 inhabitants with the number of inhabitants, the percentage of families’ incomes below $5000, and the percentage unemployed.
OBJECTIVE OF THE STUDY
Trying to estimate how many murders will happen in a year in a specific place is difficult, but not impossible. This is why we are using the dataset found with the variables mentioned above, with which we’ll be able to find a formula. So, after this project, if we want to know how many murders will be on a city, for example Monterrey, we’d just plug in the data from that city (the inhabitants, the percentage of families income below $5000, and the...

...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 statisticaldataanalysis. 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"...

...REPORT REVIEW AND ANALYSIS
Renika Hendry
CTU-Online
Applied Managerial Decision-Making
MGMT 600
Phase 2 Individual Project
Instructor: Joseph Cappa
10/14/10
Abstract
With the National Sales meeting approaching, the Marketing department is requiring that every Regional Sales Manager do a short presentation to highlight how the consumers in their region don’t compare to the rest of the consumers in the whole United States. Since I am still working with the local Regional Sales Manager I am going to prepare a two-page memo that will explain how my territory is different from other territories nationally. I will do this by utilizing reports obtained from the American Marketing Association website, which include general and 1980 to 2000 Census Trend summaries, Income summaries, and Occupation and Employment summaries for both the entire U.S. and the 60614 zip code region.
MEMORANDUM
Date: October 14, 2010
Subject: Report Review and Analysis
To: Marketing Department
From: Renika Hendry, Regional Sales Manager
Introduction
With the National Sales meeting approaching, the Marketing department is requiring that every Regional Sales Manager do a short presentation to highlight how the consumers in their region don’t compare to the rest of the consumers in the whole United States.
General Summary-Findings
Education. There is a difference in the 2000 statisticaldata provided from...

...Essay 3
This essay provides an analysis of the variables, statistical tests and methods used in the assigned research paper. The level of significance and the strengths and limitations of the data collection process were also reviewed.
This study had several variables. One major independent variable is the qualitative questionnaire that was verbally given. In this scenario the dependent variable would be the measurement of thedata that was collected. The process of a cause-effect relationship can be considered here. Qualitative research is often given less credibility. However, this study gave a great deal of significance to the data collected from the qualitative verbal questionnaire.
The qualitative dataanalysis began with collecting data through individual interviews. (Lehna & McNeil, 2008) This data was then transcript into separate categories. This process was done manually by discussing the different occurrences that were observed.
The statistical test that was used in this study was the multiple linear regression calculation. The information used came from the SSOP data. The purpose for statistical testing in this case was proving the level of significance for the data represented. This research calculated the reliability of the STOFHLA test for both English and...

...,
STATISTICS "FOR
BUSINESS AND
ECONOMICS ~
SECOND EDITION
SWEENEY WILLIAMS
ANDERSON
FREEMAN
~...
t
SHOESMITH
SOUTH-WESTERN
(ENGAGE Learning'
Australia· Brazil· Japan· Korea· Mexico· Singapore. Spain. United Kingdom. United States
Brief contents
Preface and Acknowledgements xvii
About the Authors xx
Walk-through Tour xxii
Accompanying Website xxiv
Supplements xxv
Data and Statistics
I
2 Descriptive Statistics: Tabular and Graphical Presentations
3 Descriptive Statistics: Numerical Measures
4 Introduction to Probability
21
67
117
5 Discrete Probability Distributions 153
6 Continuous Probability Distributions
187
7 Sampling and Sampling Distributions 219
8 Interval Estimation
9 Hypothesis Tests
251
283
10 Statistical Inference about Means and Proportions with Two
Populations
335
I I Inferences about Population Variances
373
12 Tests of Goodness of Fit and Independence 399
13 Analysis of Variance and Experimental Design 429
14 Simple linear Regression 489
15 Multiple Regression 555
16 Regression Analysis: Model Building 613
17 Index Numbers 659
18 Forecasting 683
ix
,
BRIEF CONTENTS
19 Non-parametric Methods
727
20 Statistical Methods for Quality Control
21 Decision Analysis
799
22 Sample Surveys (on CD)
Appendix A References and Bibliography 835...

...StatisticalAnalysis of Experimental Density Data
Abstract
Introduction:
The purpose of the lab was to learn how to calculate density of a material by taking it mass and volume. By performing the experiment, important statistical concepts will be learned, for example standard deviation, mean and random error in order to understand the errors that are committed at taking measurements.
Material and methods:
To measure volume and mass were used a burette and balance. The methods used in this experiment were very basic, the instructions show how to read a burette and a balance; and tells how many significant figures have to use for each device. In order to take mass there was necessary to use a beaker to place the glass beads (the object that was going to be measured), and in order to don’t affect the mass or volume of the glass beads there was used forceps. Another methods used in this lab were how to calculate average, standard deviation, confidence intervals and error in density.
Results:
At taking the average for mass and volume of the beads, the results were 3.3048 g (mass) and 1.325 mL (volume). The density was calculated from those results, which was 2.49 g/mL. Standard deviation of mass was 0.01176 g and for volume 0.013 mL. The Confidence Intervals for the mean were obtained. The 95% CI for mean were ±0.01871 g (mass), ±0.021 mL (volume) and ±0.041 g/mL (density). For the 99% CI for mean were ±0.03434 g...

...Gender Discrimination: A StatisticalAnalysis
Gender discrimination, or sex discrimination, may be characterized as the unequal treatment of a person based solely on that person's sex. .
It is apparent that gender discrimination is pervasive in the modern workplace, however, its presence and effects are often misrepresented and misunderstood. Statistical testing plays an important role in cases where the existence of discrimination is a disputed issue and has been used extensively to compare expected numbers of members of a protected group, to the actual number of members of that protected group that have been involved in a significant employment action. This paper will use statistical testing and analysis, including a multiple regression model, to estimate the effects that various independent variables have upon the dependent variable, salary level.
This analysis utilized a data sample consisting of 46 employees and variables relating to each of those employees. These variables include: gender, age, level of education, length of employment, job type, and weekly salary. Each of these variables is further broken as follows: gender was divided between males and females; age was listed as the age of the employee; education was broken down to reflect the last level of education obtained by the employee, some high school, high school, college, and graduate school;...