Excel data… https://docs.google.com/spreadsheets/d/1CeAsEGkO85a0p7cCxSYPB8oSpPEzRU0J1xYCeJLrZyk/edit?usp=sharing

2) Calculate the mean age of the respondents who responded with a 10 in the “recommend” column and the mean age of those who did not. Carry out a t-test and state whether or not it indicates that the difference between these two means is statistically significant.

(Please show your work on the second sheet – “Please do Mean Age and T-Test here!”)

Thank you!

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For this Application Assignment, perform a cross-tabulation on the data provided in the handout “Week 10 Dataset” such that property crime is displayed as a rate per student population. Though Excel is not the only software that can be used to perform a cross-tabulation, it is used here because it is a widely available program. The handout entitled, “Cross-Tabulation in Excel” contains instructions on how to complete the task in Excel using two different methods.

The assignment (2–3 pages):

• Using Excel, perform a cross tabulation on the data provided in the Week 10 dataset.
• Explain what you can conclude from the output of the cross tabulation.
• Include your outputs in your Application Assignment document. (Copy and paste them from Excel into your Word doc.)

Support your Application Assignment with specific references to all resources used in its preparation. You are to provide a reference list for all resources, including those in the Learning Resources for this course.

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•   Excel Assignment 8 AYK13_Data_Version 5.xlsx(14.946 KB)

In this assignment, you are determining the number of years required to break even using the  both the annual revenue growth rate and the annual expense growth rate.

Using your revenue and your expense dollar amounts provided in the Excel assignment, perform the following steps:

Calculate your revenue growth per year

Calculate your expense growth per year

Subtract your expense growth per year from your revenue growth per year

This gives a net income growth in revenue per year

Using your revenue and your expense dollar amounts, perform the following calculation:

Subtract your total revenue amount from your total expense amount

Divide the difference by the net income growth in revenue per year

This gives you your number of years to pay back your initial investment of  $300,000,000.

Once you have calculated the number of years to pay back your investment, calculate the total expected revenue and the total expected expenses; which should be equal 

Total Expected Revenue is calculated as follows:

Multiply number of years by the revenue growth = A

Multiply results  (A) by original total revenue value = B

Add results (B) to original total revenue value = total expected revenue

Total Expected Expenses is calculated as follows:

Multiply number of years by the expense growth = X

Multiply results  (X) by original total expense value = Y

Add results (Y) to original total expense value = total expected expense

REMEMBER TO SHOW YOUR FORMULA FOR EACH CALCULATION.

Apply Your KnowledgeProject 13 – Adequate AcquisitionsInput boxes in tanOutput boxes in yellowGiven data in blueAnswers in red edge Adequate AcquisitionsWorst CaseRevenueExpensesRevenue…

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Excel output from a test of hypothesis is shown in the following figure .Figure 1 :t – Test : Two – Sample Assuming Equal VariancesVariable 1| Variable 2Mean4. 764. 4Variance10. 523 3 3 3 3 312. 25Observations2525Pooled Variance11. 38656567Hypothesized Mean DifferenceOOf48+ Stat0. 37 718916P ( T< = t ) one – tail0. 353847 796+ Critical one – tail1. 67 7224196P ( T< = 7 ) two – tail0. 707695593+ Critical two – tail2. 010634758The test shown in Figure I is based on a total sample size of 25 .O TrueO False

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Refer to “Medical Supply Company Case Study” computer printout posted at Module 1. The Medical Supply Company (MSC) is a chain of retail department stores in medical supply. The sales figures (both computer input and computer output) of the period 1996-2003 are shown in the computer printout. When t = 1 it means year 1996; when t = 2 it means year 1997; …; when t = 8 it means year 2003. Because the sales are in terms of dollars, the data are adjusted to reflect the changes in the value of dollars.  Alternatively, sales can be shown in terms of units sold whenever possible, assuming that the units do not change much over time. The data are broken down into quarters. There are three dummy variables (X1, X2 and X3). What is the value of 32nd residual?

Select one:

a. predicted sales for 4th quarter 2003 – 141.00b. 77.37 + (5.89 x 8)  c. 141.00 – predicted sales for 4th quarter 2003d. 77.37 – predicted sales for 4th quarter 2003e. predicted sales for 4th quarter 2003 – 77.37

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