RunningHead: DATA ANALYSIS AND MANAGEMENT [u09a01]
Data Analysis and Management
Julie Mondello
September 16, 2016
Data Analysis for Business Decisions
John Kwagyan
Capella University
Background
1
DATA ANALYSIS AND MANAGEMENT [u09a01]
2
Recent security con
RunningHead: DATA GATHERING AND ANALYSIS [u08a02]
Data Gathering and Analysis
Julie Mondello
September 16, 2016
Data Analysis for Business Decisions
John Kwagyan
Capella University
Introduction
1
DATA GATHERING AND ANALYSIS [u08a02]
2
In statistical analy
1.
H0: $18.75
There has been an increase in the amount of money spent on food per visit by a customer
since 2011, when the average was $18.75.
2.
H1: > $18.75
There has been an increase in the amount of money spent on food per visit by a customer
since 20
1.
H0: $119,155
There has been no increase in the annual income of the average reader since 2010, when
the average was $119,155.
2.
H1: > $119,155
There has been no increase in the annual income of the average reader since 2010, when
the average was $119,
Given the data that you have provided to me, I have been able to perform several
calculations. The answers to these calculations will better assist us in fulfilling the needs and
wants of our clients, who are both buyers and sellers. The first of the calc
Customers at the Mall of Elbonia were recently selected at random and queried upon their
departure from the mall. Questions asked of these patrons included how much time they had
spent in the mall. The aims of this survey were to ascertain what, if any, t
To:
Capella Campus Security Team Leaders
From:
Me
Re:
Campus Crime
Date:
7 September 2016
As a result of recent campus safety concerns at Capella University, my analytic services
were sought with regard to campus crime rates among Minnesotas educational i
When seeking to develop an understanding of the relationships that exist betwixt
homebuyers and sellers and the agents employed by these individuals for the purpose of such
endeavors, it is essential to formulate queries that will yield the most accurate
2016
Statistical Interference 2
Data Analysis for Business Decisions
Resolving statistical questions with data
Shannon L Ruane
For appropriate consideration in the given scenario, development of both the null and
alternative hypotheses is necessary. As su
As manager at Blander Mountain in Frogtown, Illinois, it was brought to my attention
that our prices for ammunition may be lower than the prices of our primary competitor in the
hunting equipment market. Before applying this information in the context of
RunningHead: STATISTICAL INFERENCE 3 [u07a01]
Statistical Inference 3
Julie Mondello
September 12, 2016
Data Analysis for Business Decisions
John Kwagyan
Capella University
Introduction
1
STATISTICAL INFERENCE 3 [u07a01]
2
A statistical inference is the p
RunningHead: HYPOTHESIS TESTING 2 [u04a01]
Hypothesis Testing 2
Julie Mondello
August 25, 2016
Data Analysis for Business Decisions
John Kwagyan
Capella University
Introduction
1
HYPOTHESIS TESTING 2 [u04a01]
2
A statistical hypothesis test reviews two se
RunningHead: STATISTICAL INFERENCE 1 [u05a01]
Statistical Inference 1
Julie Mondello
August 29, 2016
Data Analysis for Business Decisions
John Kwagyan
Capella University
Introduction
1
STATISTICAL INFERENCE 1 [u05a01]
2
A statistical inference is the proc
RunningHead: STATISTICAL INFERENCE 2 [u06a01]
Statistical Inference 2
Julie Mondello
September 5, 2016
Data Analysis for Business Decisions
John Kwagyan
Capella University
Introduction
1
STATISTICAL INFERENCE 2 [u06a01]
2
A statistical inference is the pr
RunningHead: HYPOTHESIS TESTING 1 [u03a01]
Hypothesis Testing1
Julie Mondello
August 19, 2016
Data Analysis for Business Decisions
John Kwagyan
Capella University
Introduction
1
HYPOTHESIS TESTING 1 [u03a01]
2
A statistical hypothesis test reviews two set
RunningHead: ESTIMATING FROM SAMPLES [u02a01]
Estimating from Samples
Julie Mondello
August 17, 2016
Data Analysis for Business Decisions
John Kwagyan
Capella University
CONFIDENCE INTERVAL
1
ESTIMATING FROM SAMPLES [u02a01]
2
Based on the table above, th
RunningHead: DESCRIPTIVE STATISTICS [u02a02]
1
Descriptive Statistics
Julie Mondello
August 11, 2016
Data Analysis for Business Decisions
John Kwagyan
Capella University
MEAN, MEDIAN, RANGE, STANDARD DEVIATION and MODE RESULTS
DESCRIPTIVE STATISTICS [u02a
Running head: LIFECYCLE OF ANALYTICS: INDIVIDUAL CASE STUDY
Lifecycle of Analytics: Individual Case Study
Hal Hagood
u04a1
LIFECYCLE OF ANALYTICS: INDIVIDUAL CASE STUDY
Problem Addressed Using Data Analytics
As the manager of the analytics department with
Running head: FINAL STATUS REPORT
U10A1: FINAL STATUS REPORT BY
HAGOOD, PATCH, AND SASTRY
Table of Contents
Running head: FINAL STATUS REPORT
Table of Contents
1. Data Analytics Problem Definition
2
2. Recommended Software Tools
4
3. Recommended Division
Running head: REPORTING
Reporting
Hal Hagood
u09a1
REPORTING
Difference between Reporting and Analytics
One may have seen different individuals utilize the expressions "reporting" and
"examination/analysis" just as they were compatible terms or very nearl
Running head: ANALYTICAL TOOLSETS: WORKING WITH SAS
Analytical Toolsets: Working With SAS
Hal Hagood
u03a1
ANALYTICAL TOOLSETS: WORKING WITH SAS
Features of SAS
SAS software is an amazing tool. It can help making the right choice easier by providing
an or
Running head: THE ANALYTICS COMMUNITY
The Analytics Community
Hal Hagood
u02a1
THE ANALYTICS COMMUNITY
Data Analytics Team
The question arises, how many people should you have on your analytics team and how
should it be structured to deliver optimal resul
U02s2
1. What is the actual business problem in the case study provided in Analytics Internship:
Beginning Your Internship?
Sastry:
Business Problem:
In 2007, Vila Health leadership team during their evaluation of performance of their holdings:
identifie
Running head: INTRODUCTION TO ANALYTICS
Introduction to Analytics
Hal Hagood
u01a1
INTRODUCTION TO ANALYTICS
The article used was found on Forbes and reports how UPS (United Parcel Service) uses
predictive analytics to replace routine maintenance. It addr
Running head: MODELS AND METHODLOGIES
Models and Methodologies
Hal Hagood
u07a1
MODELS AND METHODLOGIES
As analytic consultant for Harrahs Hotel and Casino the companys stakeholders are of
prime importance. Harrahs stakeholders have expressed an interest
Running head: CHALLENGES, SOLUTIONS, AND INITIAL ASSESSMENTS
Challenges, Solutions, and Initial Assessments
Hal Hagood
u06a1
CHALLENGES, SOLUTIONS, AND INITIAL ASSESSMENTS
As the analytics consultant for Revlon an analysis will be made to try and determin
Running head: COMPETING ON ANALYTICS WITH SAS
Competing on Analytics With SAS
Hal Hagood
u08a1
COMPETING ON ANALYTICS WITH SAS
Modifying an Analytics Plan
Ultimately, analytics is an exercise in change management. To some degree an
ambiguous term, change
Practical Application Scenario 1
To complete this scenario, use the Confidence Interval Calculator and the Area Gas Prices
Random Sample files.
The Minneapolis Star Tribune newspaper has decided to write an article about gasoline prices in
the Twin Citie
Solve the following equations, based on the data from the Hypothesis Tester Single Sample file.
Demonstrate your method and display your results in table format, using Excel or another appropriate
computer application.
1. Identify the null hypothesis, via