Statistical Analysis
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 the hypothesis is stated in statistical language and the level of measurement of the variable. The Hypothesis
The way the researcher states the hypothesis makes a difference in the data analysis. Here are three null hypothesis examples: (1) Variable A does not relate to Variable B, (2) Variable A does not predict to Variable B, (3) There are no differences on Variable A by Variable B. (1) tends to be stated in correlation or chi-square language, (2) in regression language, and (3) in ANOVA or perhaps Mann-Whitney language. How is one to choose the precise data analysis? It...

...Elementary Concepts in Statistics
Overview of 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...

...
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...

...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...

...Regression Analysis (Tom’s Used Mustangs)
Irving Campus
GM 533: Applied Managerial Statistics
04/19/2012
Memo
To:
From:
Date: April 19st, 2012
Re: Statistic Analysis on price settings
Various hypothesis tests were compared as well as several multiple regressions in order to identify the factors that would manipulate the selling price of Ford Mustangs. The data being used contains observations on 35 used Mustangs and 10 different...

...Analysis and Findings This chapter presents a description of the sample and analysis results based on the questionnaire distributed to liable officers from the civil service of Mauritius. It provides an investigation of the impact of a strategic dimension to the management of the human resource on organizational effectiveness in the civil service. The data was organized and evaluated with the SPSS (Statistical Package of Social Sciences) software...

...price” are negatively correlated? Use the 0.5 significance level. Report the P-value of the test.
Answer to the Question No 7
I. Let selling price be the dependent variable and size of the home the independent variable.
Then run the regression analysis in SPSS and we get,
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.471(a)
.222
.201
398.7963
a Predictors: (Constant), Size of the Home in Square Feet
Coefficients(a)
Model...

...
MATH533: Applied Managerial Statistics
PROJECT PART C: Regression and Correlation Analysis
Using MINITAB perform the regression and correlation analysis for the data on SALES (Y) and CALLS (X), by answering the following questions:
1. Generate a scatterplot for SALES vs. CALLS, including the graph of the "best fit" line.
Interpret.
After interpreting the scatter plot, it is evident that the slope of the ‘best fit’ line is positive, which...

...Data Analysis Report
Case Study – Computers R Us
Executive summary
This report aims to figure out two basic questions, current consumers’ satisfaction and strategy that would be most potent to increase overall satisfaction. At the beginning, a survey of three parts was designed and conducted across different age groups.420 samples were collected and coding and editing of a variety of data ensued. By resorting to hypothesis test, regression model, this report found out that...