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This is a timed test and allows two attempts. If you get a 70 at least you can go ahead and take the second attempt. Need ALEKS if the grade is below a 70 please let me know before taking the test.

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Complete Statistocs Assignmemt

Complete Statistocs Assignmemt

Part 1: to be completed in Excel®You manage Human Relations for your company. One of your sales managers has retired, leaving an opening. You are considering two different employees for the position. Both are highly qualified, so you have decided to evaluate their sales performance for the past year.Using the Week 4 Data Set, create and calculate the following in Excel®:Determine the range of values in which you would expect to find the average weekly sales for the entire sales force in your company 90% of the time, and calculate the following:The impact of increasing the confidence level to 95%The impact of increasing the sample size to 150, assuming the same mean and standard deviation, but allowing the confidence level to remain at 90%Based on the calculated confidence interval for weekly sales on the sample of 50 reps at a 90% confidence level, calculate the following:Both reps' average weekly performance, highlighting if it is greater than the population meanIn order to decide who to promote, determine whether there is a statistically different average weekly sales between Sales Rep A and Sales Rep B by doing the following:Create null and alternative hypothesis statements that would allow you to determine whether their sales performance is statistically different or not.Use a significance level of .05 to conduct a t-test of independent samples to compare the average weekly sales of the two candidates.Calculate the p-value.Considering the individual you did not promote, do the following:Determine whether this person's average weekly sales are greater than the average weekly sales for the 50 sales reps whose data you used to develop confidence intervals.Create null and alternative hypothesis statements that would allow you to determine whether this person's weekly average sales are greater than the sample of Sales Reps.Use a significance level of .05 to conduct a t-test of independent samples to compare the average weekly sales of both.Calculate the p-value.

Analysis of Variance

Analysis of Variance

Three sizes of cars are imported and sold in the Caribbean. The
sizes are small, medium and large. A study was undertaken to find
out whether the sales of each type of car is equally liked by the
Caribbean consumers. Annual sales in hundreds of thousands for each
type of car were randomly selected from six Caribbean countries.
The table below shows the data for the random sample of
sales:
Type of Car
Annual sales of cars
Group Mean
Small 500.0 650.0 566.3 365.5 1054.6 563.3 616.6 Medium 452.3 356.6
400.0 536.6 350.0 201.1 382.8 Large 600.0 402.3 650.0 365.8 675.5
1098.6 632.0
Source of Variation
Sums of Squares
df Mean Squares F
Factors or Treatment
234100.2 *** *** ***
Error *** *** *** Total 917127.9
***
a. Based on the data from the table above, which type of car is the
favorite choice for the average Caribbean? Justify your answer. b.
Define the null and alternative hypothesis for the ANOVA model. c.
What are the assumptions for the ANOVA model? d. Calculate the
missing values for the ANOVA table above. e. What is your
conclusion for the ANOVA results?

Week 1 Assignment: Predictive analytics techniques

Week 1 Assignment: Predictive analytics techniques

The purpose of this assignment is to use predictive analytics techniques and the graphs and charts associated with these techniques to forecast outcomes and make business decisions.Using specified data files, chapter example files, and templates from the “Topic 1 Student Data, Template, and Example Files” topic material, complete Chapter 12 Problems 28, 30, 34, 46, 60, 62 (b through e), and 63 from the textbook. Use the Palisade DecisionTools Excel software to complete these problems where requested and applicable. Problem 60 should be completed using only Excel.To receive full credit on the assignment, complete the following.Ensure that the Palisade software output is included with your submission.Ensure that Excel files include the associated cell functions and/or formulas if functions and/or formulas are used.Include a written response to all narrative questions presented in the problem by placing it in the associated Excel file.Place each problem in its own Excel file. Ensure that your first and last name are in your Excel file names.Chapter 12 Problems 28, 30, 34, 46, 60, 62 (b through e), and 63 from the textbook:28. The file P12_10.xlsx contains annual revenues for a convenience store. If you want to forecast revenue for the next few years with the moving averages method, what span should you use? Will any span work well?.30. The file P02_28.xlsx contains total monthly U.S. retail sales data. While holding out the final six months of observations for validation purposes, use the method of moving averages with one or more spans of your choice to forecast U.S. retail sales for the next 12 months. Comment on the performance of your model. What makes this time series more challenging to forecast?34. Consider the American Express closing price data in the file P12_16.xlsx.a. Create a time series chart of the data. Based on what you see, which of the exponential smoothing models do you think should be used for forecasting? Why?b. Use Holt’s exponential smoothing to forecast these data, using no holdout period and requesting 20 days of future forecasts. Use the default smoothing constants of 0.1.c. Repeat part b, optimizing the smoothing constants. Does it make much of an improvement?d. Repeat parts a and b, this time using a holdout period of 50 days.e. Write a short report to summarize your results.46. The file P12_46.xlsx contains monthly time series data for total U.S. retail sales of building materials, garden equipment, and supplies dealers.a. Is seasonality present in these data? If so, characterize the seasonality pattern.b. Use the Deseasonalize option in StatTools to forecast the deseasonalized data for each month of the next year using the moving average method with an appropriate span.c. Does Holt’s exponential smoothing method, with optimal smoothing constants, outperform the moving average method employed in part b? Demonstrate why or why not.60. The file P12_60.xlsx lists annual revenues (in millions of dollars) for Nike. Create a time series graph of these data. Then superimpose a trend line with Excel’s Trendline option. Which of the possible Trendline options seems to provide the best fit? Using this option, what are your forecasts for the next two years?62. The file P12_62.xlsx contains data on a motel chain’s revenue and advertising.b. Use simple exponential smoothing to make predictions for the motel chain’s revenues during the next four quarters.c. Use Holt’s method to make forecasts for the motel chain’s revenues during the next four quarters.d. Use Winters’ method to determine predictions for the motel chain’s revenues during the next four quarters.e. Which of these forecasting methods would you expect to be the most accurate for these data?63. The file P12_63.xlsx contains data on monthly U.S. permits for new housing units (in thousands of houses).a. Using Winters’ method, find values of , , and that yield an RMSE as small as possible. Does this method track the housing crash in recent years?b. Although we have not discussed autocorrelation for smoothing methods, good forecasts derived from smoothing methods should exhibit no substantial autocorrelation in their forecast errors. Is this true for the forecasts in part a?c. At the end of the observed period, what is the forecast of housing sales during the next few months?PLEASE USE THE ATTACHED "MIS-665-RS-Topic-1-Student-Data-Template-and-Example-Files.zip" TO GAIN THE DATA FOR EACH QUESTION.

Deriving a regression model

Deriving a regression model

i need a statistical model derived for question 5 from the information given. Pure theory will not do for a statistics course. DErive a regression model to predict the amount of money someone is willing to spend
on goods advertised on social media based on their age. Discuss any assumptions and/or
limitations that may arise in your analysis and how they can be addressed.

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