CompetencyThis competency will allow you to demonstrate your ability and skill in analyzing nonzero-sum games and synthesizing optimal strategies within them.InstructionsDuring the city's mayoral race one of the candidates hires G&B Consulting. This candidate is a challenger from the same party as the incumbent mayor and is vying to be put on the ticket in the general election. She believes that the nomination will likely come down to what stance she takes on a proposed tax bill. The bill is for a tax increase that would subsidize education grants. Staying within traditional party lines would be advantageous to gaining support from the core constituency, but going against party lines on the issue would help sway swing voters and independents. The issue is bound to come up at an upcoming debate and she wants the help of G&B Consulting to determine an optimum strategy.InstructionsTo complete this assignment, you must first download the word document . ATTACHMENT BELOWYour step-by-step breakdown of the problems, including explanations, should be present within the word document provided.

Matched Pairs: In this lab you will learn how to conduct a matched pairs T-test for a population mean using StatCrunch. We will work with a data set that has historical importance in the development of the T-test.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions, grading rubric, and definition of high-quality feedback for the Learn by Doing discussion board exercises.A list of StatCrunch directions is provided at the bottom of this page.CONTEXTGOSSET'S SEED PLOT DATAWilliam S. Gosset was employed by the Guinness brewing company of Dublin. Sample sizes available for experimentation in brewing were necessarily small. At that time, Gosset contacted a famous statistician Karl Pearson (1857-1936) and was told that there were no techniques for developing probability models for small data sets. Gosset studied under Pearson, and the outcome of his study was perhaps the most famous paper in statistical literature, "The Probable Error of a Mean" (1908), which introduced the T-distribution.Since Gosset was employed by Guinness, any work he produced would be owned by Guinness, so he published under a pseudonym, "Student"; hence, the T-distribution is often referred to as Student's T-distribution.To illustrate his analysis, Gosset used the results of seeding 11 different plots of land with two different types of seed: regular and kiln-dried. He wanted to determine if drying seeds before planting increased plant yield. Since different plots of soil may be naturally more fertile, this confounding variable was eliminated by using the matched pairs design and planting both types of seed in all 11 plots.The resulting data (corn yield in pounds per acre) are as follows.PlotRegular seedKiln-dried Seed11903200921935191531910201142496246352108218061961192572060212281444148291612154210131614431115111535We use these data to test the hypothesis that kiln-dried seed yields more corn than regular seed.Because of the nature of the experimental design (matched pairs), we are testing the difference in yield.PlotRegular seedKiln-dried SeedDifference1190316092942193519152031910161129942496246333521082180–7261961192536716602122-462814441482–38916121542701013161443–1271115111535–24Note that the differences were calculated: regular − kiln-dried.VARIABLESRegular seed: regular seeds that were traditionally used for plantingkiln-dried: seed that were kiln-dried before plantingDATADownload the seed (Links to an external site.) data file, and then upload the file into StatCrunch.PROMPTState the hypotheses and define the parameter.Checking conditions: Since Gosset invented the T-distribution, we will assume that his sample meets the conditions and proceed with the T-test. Regardless, answer these questions to demonstrate your understanding of the conditions for use of the T-model.But first you will need to review the dotplots for the data (opens in a new tab). Which graph is used to check conditions? Why?What do we look for in the graph to verify that conditions are met?What else do we need to know about the sample of seeds before using the T-test?Use StatCrunch to find the T-score and the P-value. Hint: as you work through the StatCrunch directions, keep in mind that we want to calculate the differences as regular − kiln-dried . So you will choose Regular seed for Sample 1 and kiln-dried seed for Sample 2. (directions)Copy and paste the information in the StatCrunch output window into your initial post.State a conclusion based on the context of this scenario.

Discipline: Mathematics Type of service: Power Point Presentation Spacing: Double spacing Paper format: MLA Number of slides: 10 slides Number of sources: 0 source Paper detalis: A major financial services company wishes to better understand its mortgage approval process. In particular, the company is interested in learning about the effects of credit history (good versus fair), the size of the mortgage (<$500,000 versus >$500,000), and the region of the United States (western versus eastern) on the amount of time it takes to get a mortgage approved. The database of mortgages approved in the last year is accessed, and a random sample of five approved mortgages is selected for each of the eight combinations of the three variables. The data are shown in the table create a PPT presentation to communicate the data analysis you completed. Your presentation must follow these formatting requirements: FULL ASSIGNMENT DETAILS ATTACHED