Online work for McGraw Hill Connect. Involves solving, calculating and plotting trig, log, and exponential functions.

The research firm LL Research collected data from 200 client businesses. They want to determine how the businesses compare among four variables:2015 Profit in millions of dollars2016 Profit in millions of dollars2015-2016 Two-Year Change in Daily Average Customer Visits Two-Year Average Number of EmployeesData collected for the sample of 200 businesses is contained in the file named Businesses, linked at the bottom of the page. Use all 200 data points.Managerial ReportPrepare a report (see below) using the numerical methods of descriptive statistics presented in this module to learn how each of the variables contributes to the success of a client business. Be sure to include the following three items in your report.Find descriptive sample statistics (mean, median, two quartiles Q1 and Q3, minimum, maximum, range, sample standard deviation, and coefficient of variation) for each of the four variables along with an explanation of what the descriptive statistics tell us about the client businesses.Compute the percent change in profit from 2015 to 2016 for each business. Then use the z-score to determine which businesses were outliers with respect to percent change in profit.Compute the sample correlation coefficient, showing the relationship between percent change in profit and each of the other two variables (2015-2016 Two-Year Change in Daily Average Customer Visits and Two-Year Average Number of Employees). Explain what the correlation coefficients tell us about the three pairs of relationships. Use tables, charts, or graphs to support your conclusions. Write a report that adheres to the Written Assignment Requirements under the heading “Expectations for CSU-Global Written Assignments” found in the CSU-Global Guide to Writing and APA Requirements (Links to an external site.)Links to an external site.. As with all written assignments at CSU-Global, you should have in-text citations and a reference page. An example paper is provided in the MTH410 Guide to Writing with Statistics. (link provided in the Modules Tab)Submit your Excel file in addition to your report.Requirements:Paper must be written in third person.Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The CSU-Global Library (Links to an external site.)Links to an external site. is a great place to find resources.Include a title page, introduction, body, conclusion, and a reference page.The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society as a whole, or it might discuss or describe the unique terminology associated with the topic.The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs.Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.Document formatting, citations, and style should conform to the CSU-Global Virtual Library CSU-Global Guide to Writing and APA: Introduction (Links to an external site.)Links to an external site.. A short summary containing much that you need to know about paper formatting, citations, and references is contained in the New Sample APA Paper (Links to an external site.)Links to an external site.. In addition, information in the CSU-Global Virtual Library under the Writing Center/APA Resources tab (Links to an external site.)Links to an external site. has many helpful areas (Writing Center, Writing Tips, Template & Examples/Papers & Essays, and others).

Assignment: The Effect of Weights “The use of sampling weights and sample design variables is recommended for all analyses because the sample design is a clustered design and incorporates differential probabilities of selection. If you fail to account for the sampling parameters, you may obtain biased estimates and overstate significance levels.” In other words, samples selected for surveys may have imperfections in their representation of the reference population. Imperfections include the selection of sampling unit with unequal probability, non-coverage of the population, and non-responses to survey questions. Sampling weights would be used to compensate for these imperfections and produce valid and reliable results. For this Assignment, you analyze the relationship of two variables with logistic regression, using both weighted and unweighted data. You then compare the results to identify the effect of weighting on the interpretation of the relationship. The Assignment Examine the Data (30 Points) Open the Week 10 Dataset (SPSS document) located in the Learning Resources area. Produce numeric descriptive statistics for the following variables: Cregion USR Sex Q1 Q6a Q16 Q22a Receduc Race/Ethnicity Logistic Regression Use SPSS to run a logistic regression model with Q22a. “Have you ever looked online for -- Information about a specific disease or medical problem?” as your dependent variable (Note that there are 4 levels of responses possible, but only 2 are actually used in the responses so you can state the dependent variable is a binomial and use binary logistic regression) and Sex as the independent variable. Use backwards stepwise regression to add Receduc to the model as a potential confounder. How does the relationship between Q22a and Sex change with the addition of Receduc? Include a discussion of Odds Ratios and the Model Summary in your answer. Would you consider Receduc a confounder? Is it worth keeping it in the model even if it does not coufound the relationship between Q22a and Sex in this sample? Logistic Regression with weights Weight cases using the variable standwt (Standardized weight) Use SPSS to rerun a logistic regression model with Q22a. “Have you ever looked online for -- Information about a specific disease or medical problem?” as your dependent variable, Sex as the independent variable, and Receduc as a covariate. How does weighting the cases change the outcome of the logistic regression? Discuss why it is important to weight cases from surveys with complex sampling schemes using the differing outcomes you have from parts 2 and 3 of this assignment.