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MSIN0017: Business Analytics

MOCK EXAMINATION PAPER

Part A - Answer all questions by indicating the correct answer from the choices given. There is no need to show work. The value of each question is provided in square brackets.

A-1.  Which of the following statements is not always correct?

A.   The standard deviation measures the variability of a random variable or a data set

B.   The coefficient of variation has the same unit as the variance

C.   The mean is a measure of the central tendency of a distribution

D.  R squared measures the strength of a linear relationship

A-2. We have the following four statements:

a)   The expected value and the mean of a random variable are the same.

b)  Normal distribution that is thinner and taller has a high variance.

c)   The 95% confidence interval for the true population mean µtells us that the random variable µfalls within the confidence interval with probability 0.95.

d)  R squared is the proportion of variation in the dependent variable that has been explained by regression.

How many of these statements are true?

A.  0                         B. 1                         C. 2                        D. 3                   E. 4

A-3. US Airways has sold 25 tickets for one of its flights from Phoenix to London.               Experience with this flight has shown that each ticket holder has a probability of 0.2 of not  showing up for the flight (ticket holders’ decisions are independent). Let X be a binomial     random variable describing the number of ticket holders who will not show up for the flight.

(a) What is the expected value of X?

A. 14                             B. 5                                       C. 6                                         D. 15

(b) What is the probability that X is equal to or greater than 8?

A. 0.109                                     B. 0.891                      C. 0.047                   D. 0.780

A-4. According to the weight-for-age percentile chart developed by the National Center for Health Statistics’ the average weight for a five-year-old girl is 40 lbs. Assume that weights follow a normal distribution.

(a) If 95% weight level is given as 42 lbs. (i.e. ’ 95% five-year-old girls weigh less than or equal to 42 lbs.)’ what is the standard deviation used in this percentile chart?

A. 1.22          B. 1.96           C. 2.44           D. 2.56

(b) Now assume that the standard deviation is 4 lbs. With this assumption’ what is the

probability that a randomly selected five-year-old girl weighs less than 36 lbs.?

A. 0.08           B. 0.16            C. 0.43            D. 0.67

A-5. Let A and B be two companies. Assume that the expected return of company A is equal  to the expected return of company B’ and that the variance of the returns of A is four times     larger than the variance of the returns of company B. Then the return-to-risk ratio of company A is:

A. four times smaller than the return-to-risk ratio of company B.

B. two times smaller than the return-to-risk ratio of company B.

C. four times larger than the return-to-risk ratio of company B.

D. two times larger than the return-to-risk ratio of company B.

A-6. Assume that the mean of a population is μ’ and that its standard deviation is ϭ . If the sample size’ n’ is larger than 30’ then which one of the following is correct:

A. the sample data’s distribution tends to a normal distribution with mean μ and standard deviation ϭ/√n

B. the sample mean’s distribution tends to a normal distribution with mean μ and standard deviation ϭ/√n.

C. the sample data’s distribution tends to a normal distribution with mean μ and standard deviation ϭ/n

D. the sample mean’s distribution tends to a normal distribution with mean μ and standard deviation ϭ/n

.

Part B - Answer all questions. YOU MUST SHOW ALL YOUR WORK. CLEARLY INDICATE YOUR FINAL ANSWER. The value of each question is provided in square brackets.

B-1. Returns on a certain business venture’ to the nearest $1’000’ are known to follow the probability distribution given in the table.

X

-2000

- 1000

0

1000

2000

3000

P(X)

0.1

0.1

0.2

0.2

0.3

0.1

a. What is the most likely monetary outcome of the business venture?

b. Is the venture likely to be successful? Explain.

c. What is the long-term average earning of business ventures of this kind?

d. What is a good measure of the risk involved in a venture of this kind? Why? Compute this measure.

B-2. Imagine that you are a restaurant manager.

a. Each day’ 15 people come to your restaurant for lunch. The probability that each diner      orders pizza as a main course is 0.6. Assume that the customers’ orders are independent’ and that each customer orders only one main course. What is the probability that the number of  pizzas ordered during a single lunch is 12? Explain the notation you use and show all your work.

The main ingredients of a basic (Margherita) pizza are flour’ cheese’ and tomato sauce. Assume that each pizza contains 250 gr flour and 150 gr cheese. The price of a pack of 500gr of flour has mean £0.5 and variance £0.1. The price of a pack of 150gr cheese has mean £1 and variance £0.24. Assume that the price of tomato sauce is £0.5 and that all prices are normally distributed and independent.

b. Find the distribution of the total price of the main ingredients of a basic pizza. Report the distribution’s mean and standard deviation.

c. What is the probability that the total price of the main ingredients of a basic pizza is higher than £2.8? What is the probability that the total price of the main ingredients of a basic pizza is higher than £2.8?

B-3. The U.S. Census Bureau announced that the mean sales price of new houses sold in March

2006 was $279,100. Assume that the standard deviation of the prices is $90,000, and you select a random sample of n = 100.

a. what is the probability that the sample mean will be less than $250,000?

b. construct 95% confidence interval for the sample mean.

c. construct 80% confidence interval for the sample mean.

d. compare the two confidence intervals from b and c. Which one is larger and why?

B-4. This question pertains to regression analysis. The marketing manager at the Dean Dome is interested in estimating the demand function for concert t-shirts. He obtains the following data regarding the sales (in hundreds) of t-shirts at various prices:

Sales

47

42

47

31

36

58

38

35

38

32

61

46

Price

11

15

13

19

16

12

16

18

18

20

13

14

R

R

Square

Adj. R

Sqr

St. Err of Est

df

F

p-value

0.846

0.715

0.686

5.384

10

25.084

0.0005

Variable

Coeff.

Std. Err

t-value

p-value

Constant

85.709

8.750

9.796

0.0000

Price

-2.797

0.559

-5.008

0.0005

a)  Write out the regression equation relating sales as a function of price.

b)  Is the coefficient for the Price (the Beta’) significantly different from zero?

c)  What does the Price Beta’ tell us?

d)  Construct a 95% prediction interval for the change in expected sales’ i.e. ‘Beta’’ when the price is increased by £1.