Mathematics

Assignment Content 1.  In this course, you will prepare a Mock Study based on a problem of practice in your organization/discipline. This multi-week project will allow you to demonstrate your understanding of quantitative research methods in a context that is relevant to your program discipline. Review the details of the Mock Study outlined in the Wk 8 assignment instruction. Complete the Problem of Practice Mock Study Development Template: Wk 1. Submit your assignment. Problem Statement: Diversity is becoming a major force in global markets whose adoption has been for years serving as a competitive advantage to corporations. However, very limited studies have critically explored the concept of workplace diversity. Therefore, there is the need to conduct more research to fill and bridge the existing knowledge gap. Purpose Statement: To analytically explore the effect of workplace diversity on the organization’s success

Topic : Mathematics and its Connection to Religion and Mysticism throughout History and Modern Times Analyze and summarize scholarly sources in order to write a term paper on first explaining the history and background information on number mysticism and mathematics’ connection to religion, mysticism, and the supernatural, and then why it is important to the development of mathematical ideas. You must include a MINIMUM of three references.

Reference Template for Writing Project Report Title Followed by the author: Name of the student and major Body of the report (1). Section I: Introduction including background (past development up to now), significance of studying this project, motivation of doing this project, what problems to be solved in this project and layout of the report  (2). State what you have done (your work) This part usually divides into several sections, i.e., Section II, Section III etc. Each section gives a short title. [1]. Usually for undergraduate project, student cannot do more or even nothing, you just review what it has been done in the reference literature using your own language and style.  [2]. It would be better if you could found new problems in this topic and propose/suggest possible solving method(s).  (3). Last section: Summary and Discussion (or perspective) Summarize what you have done, emphasize the result you have got and its significance, what new problem needs to be solved in the future. Reference Using the style [1]. Title of the reference paper, author, volume, page, and year of the publication journal, book chapter, or even web address (http//…). It is required to write at least 6 pages of letter size.

Identify a question of interest, in particular a Y (dependent) variable that you would like to describe and some (independent) variables X that you use to explain Y. It is important that you are able to discuss what economic theory (or common sense) would suggest the relationship between Y and the Xs should be. This will give you a framework to interpret the regression results. Remember that: • cross-sectional data consists of different units observed at the same point in time (eg, a sample of workers in 2019); in this case your goal is to explain why Y is different across units • time series data is when we track one variable over time (eg, GDP from 1950 to 2019 at the quarterly frequency); here the goal is to explain the fluctuations over time of the variable 2. The following step is to find a suitable dataset that provides a sample for the variables you want to observe. There are lots of open datasets that can be freely downloaded on the internet. Make sure that you quickly identify a dataset, otherwise it is advisable that you change to a different project idea for which you can find data. 3. Once you have the idea and the data, it is time to apply the LRM. Some issues you should investigate and discuss are: • Are the variables that you thought could be important statistically significant (at 5%)? • Are there variables that you would have liked to include in the regression but could not find data for? Discuss whether you expect these omitted variables to introduce bias in your OLS estimates. • Are the estimated effects (betas) of the expected sign? • Interpret the estimated effects • Are there one or more variables that you would like to exclude from the regression because they are irrelevant? Use the F-test • Include at least one type of nonlinearity in the LRM and interpret its effect

Answer the following questions about the Venn diagram below.   1. n(U) = 2. n(A) = 3. n(B) = 4. n() = 5. n() = 6. n(A  ?  B) = 7. n(A  ?  B) = 8. n( ?  ) = 9. n( ? ) = 10. n(A  ? ) = 11. n( ?  B) = 12. n(A  ?  ) = 13. n(? B) =     In a survey of 200 people 15 own a rifle, 25 own a handgun and 5 own both. Answer the following questions by using a Venn diagram.           14. How many people own a rifle only? 15. How many people own a handgun only? 16. How many people own a rifle or a handgun? 17. How many people did not own a rifle? 18. How many people did not own a handgun? 19. How many people own neither a handgun nor a rifle?   In a survey of 100 people 80 had to check accounts, 60 had savings accounts, and 50 had both. Answer the following questions by using a Venn diagram.         20. How many people had a checking account only? 21. How many people had a savings account only? 22. How many people had a checking account or a savings account? 23. How many people did not have a checking account? 24. How many people did not have a savings account? 25. How many people had neither a checking account nor a savings account? A survey of 140 people at a movie theater for one evening revealed the following information. Fifty people purchased candy, 65 purchased popcorn, and 80 purchased a drink. Twenty-five people purchased popcorn and candy, 50 people purchased popcorn and a drink, and 30 people purchased candy and a drink. Twenty people purchased all three. Use a Venn diagram to answer the following questions.             26. How many purchased only a drink? 27. How many purchased popcorn or candy? 28. How many purchased popcorn and a drink but not candy? 29. How many did not purchase a drink? 30. How many purchased only popcorn? 31. How many did not purchase any of the three? 32. How many purchased a drink or candy? 33. How many did not purchase popcorn? 34. How many purchased candy and a drink but not popcorn? 35. How many purchased popcorn or a drink?

You will be writing a business research proposal for the company you work for (or you may make one up if you are not currently employed) to TPTB (the powers that be) for approval.  Your proposal will be based on researching a problem an opportunity, or a challenge your company faces at work. The topic that I chose to do the proposal on is employee retention. This part will be between 300 – 500 words long and address the following:                       Problem statement clearly lays out research that the proposal is seeking to address and substantial statistical concepts are evident. Research question(s) approach the project from a multitude of directions, demonstrating excellent integrative abilities. Background research/literature demonstrates extensive use of statistical concepts that proposes research to address the project with a strong analytical approach. Your submission should use APA format and include in-text and bibliographic references.

Summative Assessment: Create a data collection instrument (questionaire) on a contemporary research topic. Report of about 2000 words is required (justification of questions contained in survey and design) Part A: Develop Survey questions -> create survey questions t Part B: Method of Survey Implementation -> describe how survey is to be conducted and how to select the target audience  Learning Outcomes: – Apply fundamentals of quantitative reasoning to solve real-world problems – Manipulate and summarise data that accurately represents real-world problems. – Interpret and appraise statistical output to assist in real-world decision making.

Polling agencies claim to provide accurate readings of the pulse of America. They give the public a percentage of the population who are likely to vote for a particular candidate, or a company the probability that their customers may purchase their product. Polling organizations sample the population and use a proportion to predict the results during an election or the likelihood a customer will buy. Choose a polling organization and look up a current sampling situation. Discuss the poll, sample size, point-estimate, margin of error, and inferences. Explain the importance of this data and what you find interesting about the results.  Be sure to provide a reference to your poll.

Design a presentation to teach a client the difference between qualitative and quantitative variables.

Directions: The research questions below are used as examples throughout this chapter. Identify the appropriate statistical test for each question by using both decision-making tools from Chapter 2. Example :1  To what degree do undergraduate GPA scores predict graduate GPA? Mertler, C., & Reinhart, R. V. (2016). Regression Do males and females have significantly different incomes? What is the association between test scores and hours studied? To what degree do GRE scores predict graduate GPA? Do three types of counseling significantly affect self-esteem and self-efficacy? What are the causal relationship between life satisfaction, work satisfaction, and self-esteem among mental health clients? Which of the following risk-taking behaviors, amount of alcohol use, drug use, sexual activity, violence,  distinguish between THREE groups of clients:  and suicide attempters who are not successful; suicide attempters who are successful, and those who have not attempted suicide? Does marital status including married, separated and divorced, significantly affect self-self-esteem scores and depression scores after controlling for the effect of age? Does ethnicity significantly affect self-esteem scores and work satisfaction scores controlling for the effect of family income? Which of the following risk-taking behaviors including amount of alcohol use, drug use, sexual activity best predict depression scores among adolescents? Do three groups of mental health clients with low, middle, and high incomes have significantly different life satisfaction scores? Does ethnicity and gender significantly affect self-esteem scores and life satisfaction scores? What underlying factor structure exists among the variables of depression, self-efficacy, self esteem, and work satisfaction? To what extent do certain risk-taking behaviors including amount of alcohol use, drug use and sexual activity, increase the odds ratio for the following GROUPS:  suicide attempters AND NON-suicide attempters. Do ethnicity and gender significantly affect income and job satisfaction controlling for age?