Introduction
Baseball 2005, a data set provided by the University of Phoenix (2012), provides a realistic set of information to develop a test of hypothesis using the five- step process. Below the paragraphs will explain the five-step hypothesis test on data pertaining to American league and National league. We will be explaining the results of the hypothesis test and data tables using graphical and tabular methods of displaying data and results for the hypothesis.

Major League Baseball game attendance is the topic of choice for this paper. The hypothesis question that was formulated for sample hypothesis testing that was conducted in this paper: Does a correlation exist between player salary and fan attendance rate? The contents of this paper will contrast and analyze data from the “Major League Baseball Data Set” available from University of Phoenix e-source (University of Phoenix, 2007). The five-step process of hypothesis testing will be used and will facilitate a two tail test using ratio numerical data. A description of the process will be provided with an explanation of the Teams findings pertaining to the hypothesis testing results and their role in proving or disproving the answer to the Teams research question. Raw data tables and the computations to the team’s t-test will also be provided in tabular and graphical formats in order to display data and its results. Numerical and Verbal Hypothesis Statement

Our Team is interested in the notion that Major League Baseball salary could influence fan attendance rate. With this notion as the root for our research the following hypothesis is derived, does a correlation exist between Major League Baseball Player salary and fan attendance? Therefore the null hypothesis states that higher salaries do not correlate to higher fan attendance ratio and no significant correlation exists between higher salaries and attendance. The alternative hypothesis states that higher salaries do correlate to...

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Team A Week Four Reflection
Through out the duration of this week there were several topics that members of this team found both struggling and straightforward. The discussions of topics lead team members to help one another understand the differences between the t-test and z-test. Additional topics in the discussions were how hypothesis testing is crucial to determining if the hypothesis is valid or false. One way to know if the hypothesis is valid is to determine the null hypothesis, which the opposite of the original theory, and tests against the alternative hypothesis, which correlates with the original hypothesis. To establish if the null hypothesis is valid statistical tests can help compare the means from two groups, and the results will verify if the theory is correct. These statistical tests, including the t-test and z-test are useful for determining the probability of truth to any hypothesis.
Furthermore, the relation to this week’s topics in this team’s members career fields demonstrate just how often hypothesis testing occurs to achieve an assortment of organization goals. Therefore, the following contents will describe the objectives of week four that relate to team members career fields by providing examples, reviewing topics of strength, and explain concepts of difficulty. These week four objectives include: the steps in testing a research hypothesis, comparing the means of two or more groups, and calculating the correction between two...

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L-3 HR Department Betters Their Workforce
QNT/351
September 12, 2014
Instructor: David FrancomIntroduction
L-3 communications is a great company to be involved in. As challenges arise, the HR department goes to work with statistical decision making in order to make the best decision possible. This paper is a reflection of how steps in the decisions making process are being used by L-3, and can be used by any company to come up with the right conclusions to help solve problems. L-3 is a leader in their industry because of the steps the HR department takes to solve problems.
Analysis
Step one- Testing a research hypothesis.
L-3 has been experiencing a high turnover of engineers. The hypothesis is a combination of little or no design work coming in, and lower than average pay have led to poor morale and a high turnover in the engineering group. The step L-3’s HR department is currently using to test this hypothesis is first, identifying the pain points or issues. Second, they created a tool in the form of a survey. The next step was organizing the data and then analyzing the data collected. Another thing to consider when examining the high turnover rate would be job security. If the engineers felt that their jobs were secure, and the risk of being laid off was low, would this reduce the turnover rate?
Step 2- Comparing the means of two or more groups
HR has gathered data from two groups of engineers, Design Engineers and Manufacturing...

...QNT351 Final Exam1) The main purpose of descriptive statistics is to2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment 4) What type of variable is the number of robberies reported in your city5) What level of measurement is the number of auto accidents reported in a given month6) The names of the positions in a corporation, such as chief operating officer or controller, are examples of what level of measurement7) Shoe sizes, such as 7B, 10D, and 12EEE, are examples of what level of measurement8) Monthly commissions of first-year insurance brokers are 1,270, 1,310, 1,680, 1,380, 1,410, 1,570, 1,180, and 1,420. These figures are referred to as9) A small sample of computer operators shows monthly incomes of 1,950, 1,775, 2,060, 1,840, 1,795, 1,890, 1,925, and 1,810. What are these ungrouped numbers called10) The sum of the deviations of each data value from this measure of central location will always be 011) For any data set, which measures of central location have only one value12) A sample of single persons receiving social security payments revealed these monthly benefits 826, 699, 1,087, 880, 839, and 965. How many observations are below the median 13) A dot plot shows14) The test scores for a class of 147 students are computed. What is the...

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1) What is the primary function or purpose of descriptive statistics?
Summarize complex data in a useful and informative way
Explanation: In other words, descriptive statistics is all about making sense of complex data.
2) What do we call the process of gathering, organizing, summarizing, analyzing, and interpreting data?
Statistics
Explanation: This is the most basic definition of statistics.
3) The performance of financial investments is measured with a percentage know as return on investment. What kind of variable do we call return on investment?
Continuous
Explanation: The variable amount is constantly changing with the financial environment, thus called continuous.
4) What kind...

...Team b is providing an overview of the company’s history. Ballard Integrated Managed Services, Inc. (BIMS) is a nationwide company that provides housekeeping and foodservices to not only businesses but also large corporations. BIMS is competitive and the clientele list includes Fortune 100 businesses, numerous midsized firms, many major universities, over a dozen medical centers, and three larger airports. BIMS employs 452 employees, who include full- and part-time workers along with upper management. Even though the annual turnover rate is 55% to 60%, lately the rate has risen over 64% in four months time. Management has not been able to determine the root of the employee discontent, increased sick time, and poor work habits. The lower performance has caused clients to complain.
Data Collection Instrument:
The data collection tool to let workers express their views about their experiences at BIMS is an employee survey instrument. The survey collects information on attitudes, opinions, and levels of satisfaction from the 449 employees because the upper management is excluded. To figure out the root of the high turnover and the lowered morale, a ten-question survey was conducted. Our consultant firm will just be focusing on for right now on the high turnover. The survey includes questions on demographics that identifies the division the employee is assigned to, how long the employee has been employed, gender, and if the employee is management or not. Some...

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Learning Team Reflection
QNT/351
Learning Team Reflection
Statistics refers to the use of numerical information in everyday life to calculate facts and figures in limitless circumstances. In addition, statistics refers to the scientific collecting, classifying, summarizing, organizing, analyzing, and interpreting numerical data. This week the class’s objectives were to apply the steps in testing a research hypothesis, to compare the means of two or more groups, and to calculate the correlation between two variables. Learning Team D’s members have reflected on each of these issues and share their insights on these objectives.
Testing a Research Hypothesis
The purpose of testing a research hypothesis is to prove or disprove the research question. The first step in testing a research hypothesis is to state the problem in the form of a question. The second step is to state the research question as it relates to the null hypothesis and alternative hypothesis. Then the parameters must be set to test the null hypothesis. The fourth step is to calculate the probability of the test statistics or rejection region. Finally, the findings from the tests must be stated.
The hypothesis was familiar to one group member, so she felt comfortable with the topic. She did not struggle with any particular topic this week. This week’s topics directly relate to her field of study. As an accountant it is important to have a good understanding of mean, median,...

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QNT351 Week 1 Complete DQs
(1) How would you define statistics? How is statistics used in business decision making?
(2) What is the importance of statistics in business decision making? Describe a business situation where statistics was used in making a decision.
(3) How do we define measurement? What are various levels of measurement? How do you select measurement levels when developing a survey or data collection tool? Explain with examples.
QNT351 Week 1 Individual Statistics in Business
QNT351 Week 2 Complete DQs
(1) Describe a business situation, other than what has already been selected by fellow students or selected from the team assignment, where mean and standard deviation can be used in decision making. Describe how calculation of mean and standard deviation can help in making a decision.
(2) Can mean, median, or mode be calculated from all statistical data? Explain why or why not. When is the mean...

...QNT/351
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of the positions in a corporation, such as chief operating officer or controller, are examples of what level of measurement?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
7) Shoe sizes, such as 7B, 10D, and 12EEE, are examples of what level of measurement?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
8) Monthly commissions of first-year insurance brokers are $1,270, $1,310, $1,680, $1,380, $1,410, $1,570, $1,180, and $1,420. These figures are referred to as
A. a histogram
B. raw data
C. frequency...