The Adidas annual report states that Adidas is one of the largest sellers of athletic footwear in the world. Adidas's footwear products are primarily designed for athletic use, but also for casual and leisure wear. Historical data indicates that the average customer buys 3.3 pairs of sports shoes per year, with a population standard deviation of 4. If samples of 31 customers are taken, answer the following questions.
Your answers should be accurate to 2 decimal places.
a) What is the standard error of the mean for the sample means?

b) What is the probability that the a given sample mean is between 7 and 8 pairs of shoes?

c) What is the probability that the difference between a given sample mean and the population mean is less than 0.1?

d) What is the probability a given sample mean is greater than 8 pairs?

Suppose a credit card company wants to examine the difference between credit card spending on groceries and leisure. To do so, it generates a paired sample of 7 credit card customers’ spending in each category. Assume spending in each area is normally distributed. Data are in thousands.

1. If the credit card company believes the population difference in spending is $4,500 (4.5), test whether the mean spending difference in the sample is different from the population mean. Use a .05 level of significance.
2. What is the 95% confidence interval for the difference in spending?
3. Why is a paired sample better than an unpaired sample when testing hypotheses concerning the difference between two population means

The management of Compute-All know that in the past, 40% of their sales were from people under 30 years old, 45% of their sales were from people who are between 30 and 50 years old, and 15% of their sales were from people who are over 50 years old. A sample of 300 customers was taken to see if these market shares had changed. In the sample, 100 people were under 30 years old, 150 people were between 30 and 50 years old, and 50 people were over 50 years old.

2. The accountant at Superstore wants to determine the relationship between customer purchases at the store, Y ($), and the customer monthly salary, X ($). A sample of 15 customers is randomly selected and the results are summarized in the ANOVA table below:                                                                                                      15 Marks
df SS
Regression 1 176952
Residual 13 98236
Total 14    (A)

Coefficients Standard Error t Stat p-value
Intercept 78.58 7.540 1.202 0.035
Salary 0.066 0.013 4.948 0.003

a. Find A.
b. What is the estimated regression equation that relates the amount of customer’s purchase (Y) to the customer’s monthly salary (X)?
c.   Is the regression relationship significant? Use the p-value approach and 2% level of significance.
d.   Compute the coefficient of determination between the amount purchase and the customer’s monthly salary. Interpret the result in the context of the problem.

Submit a memo to the owner of a pizza restaurant that you work at. This is the format the teacher asked us to submit it as. No closing name at the end. Please check for sentence structure &/or suggestions.

Date:             April 8, 2019
To:                  Carmine Stellato, Owner
From:             Krista Kamman, Marketing Manager

Subject:        Improving Competitive Edge with Customers

As requested, I have researched three competitors in the area and have studied their pizza ordering and serving procedures. Here are my findings and recommendations.

Conclusions

Our store has many great qualities, but there are a few things we should change to improve our competitive edge. These are three of the main weaknesses that affect our productivity.

• Outdated oven. Our current oven does not cook pizzas in a timely manner. It takes 7 minutes to cook each pizza.
• Dough preparation time. Currently, our pizza makers take 2 minutes simply to prepare the dough for each pizza made.
• Customer service time. The time it takes for our patrons to receive their order is 16 minutes. Our competitors average is 11 minutes to receive an order.

Recommendations

These are my recommendations to improve our productivity.

• Replace Oven. Replace the current oven with a more efficient one that cooks in less time. Our competitors have updated models and can produce their pizzas more efficiently with an accelerated time; five to six minutes versus our seven minutes.
• Prepare Dough. Prepare the dough beforehand. This will save time on each order made. Two of the three competitors use prepared dough.
• Construct a New Customer Service System. A more efficient system for customer service is needed. Our competitors take names or give out numbers for their customers. This varies slightly at the three locations but is a more efficient way for our patrons to receive their food quicker.

Summary

I believe our restaurant will be more successful after we implement these changes. Can we meet on Wednesday, April 10 at 9 a.m. to discuss the suggestions?

example of Reporting Net vs. Gross Revenue"

Marginal revenue for a firm in a competitive market is constant, but this is not the case for a monopolist. So, the marginal revenue of a monopolist might change for different quantities of production. Please explain why.

Please explain oil and gas revenue in detail.