About Your Signature Assignment

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rneynaqen

Mathematics

Description

About Your Signature Assignment

This signature assignment is designed to align with specific program student learning outcome(s) in your program. Program Student Learning Outcomes are broad statements that describe what students should know and be able to do upon completion of their degree. The signature assignments might be graded with an automated rubric that allows the University to collect data that can be aggregated across a location or college/school and used for program improvements.

Purpose of Assignment

The purpose of this assignment is for students to synthesize the concepts learned throughout the course. This assignment will provide students an opportunity to build critical thinking skills, develop businesses and organizations, and solve problems requiring data by compiling all pertinent information into one report.

Assignment Steps

Resources: Microsoft Excel®, Signature Assignment Databases, Signature Assignment Options, Part 3: Inferential Statistics

Scenario: Upon successful completion of the MBA program, say you work in the analytics department for a consulting company. Your assignment is to analyze one of the following databases:

  • Manufacturing
  • Hospital
  • Consumer Food
  • Financial

Select one of the databases based on the information in the Signature Assignment Options.

Provide a 1,600-word detailed, statistical report including the following:

  • Explain the context of the case
  • Provide a research foundation for the topic
  • Present graphs
  • Explain outliers
  • Prepare calculations
  • Conduct hypotheses tests
  • Discuss inferences you have made from the results

This assignment is broken down into four parts:

  • Part 1 - Preliminary Analysis
  • Part 2 - Examination of Descriptive Statistics
  • Part 3 - Examination of Inferential Statistics
  • Part 4 - Conclusion/Recommendations

Part 1 - Preliminary Analysis (3-4 paragraphs)

Generally, as a statistics consultant, you will be given a problem and data. At times, you may have to gather additional data. For this assignment, assume all the data is already gathered for you.

State the objective:

  • What are the questions you are trying to address?

Describe the population in the study clearly and in sufficient detail:

  • What is the sample?

Discuss the types of data and variables:

  • Are the data quantitative or qualitative?
  • What are levels of measurement for the data?

Part 2 - Descriptive Statistics (3-4 paragraphs)

Examine the given data.

Present the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary).

Identify any outliers in the data.

Present any graphs or charts you think are appropriate for the data.

Note: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations.

Part 3 - Inferential Statistics (2-3 paragraphs)

Use the Part 3: Inferential Statistics document.

  • Create (formulate) hypotheses
  • Run formal hypothesis tests
  • Make decisions. Your decisions should be stated in non-technical terms.

Hint: A final conclusion saying "reject the null hypothesis" by itself without explanation is basically worthless to those who hired you. Similarly, stating the conclusion is false or rejected is not sufficient.

Part 4 - Conclusion and Recommendations (1-2 paragraphs)

Include the following:

  • What are your conclusions?
  • What do you infer from the statistical analysis?
  • State the interpretations in non-technical terms. What information might lead to a different conclusion?
  • Are there any variables missing?
  • What additional information would be valuable to help draw a more certain conclusion?

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Explanation & Answer

Here is my answer :)

Running head: SIGNATURE ASSIGNMENT

Individual Assignment: Signature Assignment
Author’s Name
University of Phoenix
QNT561
13/09/2017

1

SIGNATURE ASSIGNMENT

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Introduction

In this Signature Assignment, we will understand the information, as shown below, we will
construct a 90% and 99% confidence interval and conduct a hypothesis test to estimate the
population mean of the census performed on U.S. hospitals. First, we will make a preliminary
analysis, providing the objectives of the assignment, the scenario and we will establish the
quantitative and qualitative data, and the levels of measurement. Then we will make the
examination of Descriptive Statistics, calculating the Measures of Central tendencies that are
Mean, Median, Mode; the Measures of variances that are Range, Standard deviation, Variance;
and Measures of five-number summary, that correspond to Minimum, Q1, Median, Q2, Maximum.
We will make the examination of Inferential Statistics, where a hypothesis test will be conducted
to state that the average number of hospitals in the United States has more than 700 births as well
as an analysis to determine if hospitals in the United States employ less than 900 people. For that
we construct the confidence interval, and calculate the mean (𝑥̅ ), the median, and the standard
deviation (s) of the sample.

SIGNATURE ASSIGNMENT

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Preliminary Analysis

Objectives

1. Established the sample of the data using the variable "Service" and "General Practitioner"
2. Study that United States has employed less than 900 people in the hospitals.
3. Determine what is the average hospital census.
4. Promoting the averages of births in the hospital with a number more than 700.

The scenario
The sample is given by n = 200. This database contains observations for six variables on
U.S. hospitals. These variables include Geographic Region, Control, Service, Census, Number of
Births, and Personnel.

The region variable is coded from 1 to 7, and the numbers represent the following
regions:

1 = South
2 = Northeast
3 = Midwest
4 = Southwest
5 = Rocky Mountain
6 = California

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7 = Northwest

Control is a type of ownership. Four categories of control are included in the database:
1 = government, nonfederal
2 = nongovernment, not-for-profit
3 = for-profit
4 = federal government

Service is the type of hospital. The two types of hospitals used in this database are:

1 = general medical
2 = psychiatric

Classification of the variables in the data set

Quantitative and qualitative data.

A numerical data, where we can perform mathematical operations, is a quantitative data..
According to Triola, (2013), Qualitative variables help in determine the possible correlation
between the dependent variables. In the next table (Table 1) we have the description of the
quantitative and qualitative data set.

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Table 1
Quantitative and Qualitative data set
Column Name
Type
Hospital
Qualitative data
Geog. Region
Qualitative data
Control
Qualitative data
Service
Qualitative data
Census
Quantitative data
Births
Quantitative data
Personnel
Quantitative data

Description
It identifies the number of
It show from 1 to 7 the region
It identifies fr...


Anonymous
Excellent resource! Really helped me get the gist of things.

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