Questions
Use the data in BUSI1013 Bank Dataset.xlsx (Unit 1 Question 2) to answer this question. (4...

  1. Use the data in BUSI1013 Bank Dataset.xlsx (Unit 1 Question 2) to answer this question. (4 points for each part; 8 points total)
    1. Perform a statistical test to see whether the average loans of customers before the change at the Brock and Chase branch are different.
    2. Construct a 95% confidence interval for the difference of average loans of customers before the change at the Brock and Chase branch.
Loans After Increase in Loans
48.1 12.9
62.4 8.1
51.1 12.6
63.3 12.7
45.5 6.3
60.6 17.1
55.1 4.4
48.8 -1.5
55.9 13.4
58.7 8.5
53.0 7.0
54.3 5.6
62.0 13.2
50.1 9.3
51.3 -3.3
48.7 6.8
43.2 3.3
47.0 1.1
61.4 11.2
50.1 1.0
61.6 15.0
58.1 6.6
55.7 8.2
56.0 6.6
62.3 24.3
49.9 3.2
53.5 10.4
61.4 15.8
55.7 15.6
49.5 3.2
47.1 11.3
49.6 0.1
54.7 6.2
60.5 7.3
49.2 3.0
57.1 12.6
50.7 12.6
56.0 5.9
50.2 3.4
46.2 -0.6
62.7 16.1
61.3 13.8
56.6 17.1
45.1 9.5
55.9 6.2
43.4 -0.6
57.9 17.6
47.6 9.9
63.4 10.4
56.7 5.4
47.5 2.3
50.5 13.7
56.1 20.7
57.8 11.1
61.2 11.1
58.7 18.6
45.3 -2.9
51.5 2.0
62.9 23.5
46.2 0.7
50.1 10.8
47.0 2.5
48.3 8.4
54.3 10.1
46.4 7.4
63.4 12.2
54.5 8.4
44.7 1.3
57.3 13.2
55.7 5.5
46.5 7.4
49.6 14.0
44.2 -5.1
60.6 23.2
56.5 7.2
49.0 -3.9
62.8 12.8
61.4 23.7
50.6 -2.4
44.7 -1.0
44.7 7.8
50.1 6.7
59.2 18.0
54.8 -0.1
55.4 0.4
45.7 8.9
59.1 20.5
55.2 18.1
59.5 9.6
45.9 -1.3
47.2 1.2
58.4 18.5
58.1 4.2
63.5 28.0
63.0 8.7
61.0 24.2
47.4 5.4
44.4 -6.1
63.7 13.4
49.7 5.0
58.0 20.4
48.8 13.5
57.2 17.4
63.5 14.8
43.6 -7.9
54.9 4.5
59.0 16.1
57.2 5.0
52.2 7.5
59.9 19.3
48.2 10.0
59.5 12.9
58.3 11.3
58.6 5.1
56.6 20.1
62.1 14.4
58.9 13.1
57.8 13.3
48.6 10.3
49.2 -5.1
52.4 -2.1
62.9 18.4
56.3 13.9
62.6 10.3
45.9 -4.8
61.0 17.3
52.6 -1.9
45.6 6.9
56.8 12.3
53.3 0.8
47.3 -5.7
58.7 10.1
52.5 8.2
62.7 8.2
49.9 1.8
45.2 -9.7
48.2 6.5
53.7 2.0
62.7 25.6
46.2 6.5
58.1 15.8
60.1 20.5
48.3 -5.1
56.2 10.3
48.4 5.6
51.1 5.0
57.5 16.5
49.8 6.0
51.7 15.4
56.1 20.5
44.8 -6.8
44.3 -5.6

In: Statistics and Probability

. Balance sheet format, terminology, and accounting methods. Exhibit 4.4 presents the balance sheet of Paul...

. Balance sheet format, terminology, and accounting methods. Exhibit 4.4 presents the balance sheet of Paul Loren Company for Years 10 and 9. This balance sheet uses the terminology, format, and accounting methods of U.S. GAAP, and Paul Loren reports results in millions of U.S. dollars. (Adapted from the financial statements of Polo Ralph Lauren.) In addition to the items reported in Paul Loren’s balance sheet, assume the following hypothetical information is available to you: ■ In Year 10 Paul Loren revalued a building with an acquisition cost of $200 million downward, to its current fair value of $182 million. ■ In Year 10 Paul Loren wrote up the value of inventory, with a carrying value of $135 million, to its fair value of $165 million. ■ Included in commitments and contingencies for Year 10 is a lawsuit filed against Paul Loren for breach of contract. Paul Loren estimates the following range of outcomes for this lawsuit: 70% chance of damages of $100 million, 20% chance of damages of $500 million, and 10% chance of damages of $1 billion. a. Prepare a balance sheet for Paul Loren for Year 10, following the format, terminology, and accounting methods required by U.S. GAAP. Ignore any income tax effects of any revisions to reported amounts. b. How, if at all, would your answer to part a differ if Paul Loren used IFRS?

Paul Loren Company Balance Sheets For Years 10 and 9 (amounts in millions of US$) (Problem 32)
Year 10 Year 9
ASSETS

Current Assets

Cash and cash equivalents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . $ 563.1 $ 481.2

Short-term investments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 584.1 338.7

Accounts receivable, net of allowances of $206.1 and $190.9 million . . . 381.9 474.9

Inventories . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 504.0 525.1

Deferred tax assets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.0 101.8

Prepaid expenses and other . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.7 135.0

Total Current Assets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,275.8 2,056.7

Noncurrent investments. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.5 29.7

Property and equipment, net . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 697.2 651.6

Deferred tax assets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.9 102.8

Goodwill . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 986.6 966.4

Intangible assets, net . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363.2 348.9

Other assets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.7 200.4

Total Assets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . $ 4,648.9 $4,356.5


LIABILITIES AND STOCKHOLDERS’ EQUITY

Current Liabilities

Accounts payable . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . $ 149.8 $ 165.9

Income tax payable. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.8 35.9

Accrued expenses and other . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 559.7 472.3

Total Current Liabilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 747.3 674.1
Long-Term Debt. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 747.3 674.1

Deferred Tax Liabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282.1 406.4

Other Noncurrent Liabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.0 154.8

Total Liabilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,902.7 1,909.4
STOCKHOLDERS’ EQUITY:

Class A common stock, par value $0.01 per share;
75.7 million and 72.3 million shares issued;
56.1 million and 55.9 million shares outstanding . . . . . . . . . . . . . . . . . 0.8 0.7

Class B common stock, par value $0.01 per share;
42.1 million and 43.3 million shares issued and outstanding. . . . . . . . . . 0.4 0.4

Additional paid-in capital. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,243.8 1,108.4

Retained earnings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,544.9 2,177.5

Treasury stock, Class A, at cost (19.6 million and 16.4 million shares) . . . . (1,197.7) (966.7)

Accumulated other comprehensive income . . . . . . . . . . . . . . . . . . . . . . . 154.0 126.8

Total Stockholders’ Equity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,746.2 2,447.1

Total Liabilities and Stockholders’ Equity . . . . . . . . . . . . . . . . . . . . . . $ 4,648.9 $4,356.5

In: Accounting

1. Which of the following is a valid alternative hypothesis for a one-sided hypothesis test about...

1. Which of the following is a valid alternative hypothesis for a one-sided hypothesis test about a population proportion p?

p = 0.6

p > 0.3

p < 0

p0.7

2. Which of the following statements about a confidence interval is NOT true?

A confidence interval of size α indicates that there is a probability of α that the parameter of interest falls inside the interval.

A confidence interval is generally constructed by taking a point estimate plus or minus the margin of error.

A confidence interval is often more informative than a point estimate because it accounts for sampling variability.

A confidence interval provides a range of plausible values for a parameter based on the sampling distribution of a point estimator.

3.

Suppose that the sample proportion is used to construct a confidence interval for the population proportion p. Assuming that the value of is fixed, which of the following combinations of confidence levels and sample sizes yield the the widest confidence interval (that is, one with the largest range of values)?

99% confidence level, n = 500

95% confidence level, n = 500

99% confidence level, n = 50

95% confidence level, n = 50

4. Which of the following statements about hypothesis testing is true?

If the data provide sufficient evidence for the null hypothesis, then the conclusion is to reject H1.

A hypothesis test provides a plausible range of values for a parameter.

If the data provide sufficient evidence for the alternative hypothesis, then the conclusion is to reject H0.

A hypothesis test uses sample data to determine which of two competing hypotheses is true.

5.

For a test of

H0 : p = p0

vs.

H1 : p < p0,

the value of the test statistic z obs is -1.87. What is the p-value of the hypothesis test? (Express your answer as a decimal rounded to three decimal places.)

6.

A pilot survey reveals that a certain population proportion p is likely close to 0.56. For a more thorough follow-up survey, it is desired for the margin of error to be no more than 0.03 (with 95% confidence). Assuming that the data from the pilot survey are reliable, what sample size is necessary to achieve this? (Express your answer as an integer, rounded as appropriate.)

7.

Suppose that you are testing whether a coin is fair. The hypotheses for this test are

H0: p = 0.5

and

H1: p ≠ 0.5.

Which of the following would be a type I error?

Concluding that the coin is fair when in reality the coin is not fair.

Concluding that the coin is not fair when in reality the coin is fair.

Concluding that the coin is fair when in reality the coin is fair.

Concluding that the coin is not fair when in reality the coin is not fair.

8.

For a two-sided hypothesis test in which the test statistic is zobs, which of the following critical values is appropriate if a 10% significance level is desired?

1.645

1.960

2.326

2.576

9.

For a one-sided hypothesis test in which the test statistic is zobs, which of the following critical values is appropriate if a 5% significance level is desired?

1.645

1.960

2.326

2.576

10.

For a particular scenario, we wish to test the hypothesis H0 : p = 0.52. For a sample of size 50, the sample proportion is 0.42. Compute the value of the test statistic zobs. (Express your answer as a decimal rounded to two decimal places.)

In: Statistics and Probability

1. The dean of a school of business is forecasting total student enrollment for this year...

1. The dean of a school of business is forecasting total student enrollment for this year (2019)'s summer session classes based on the following historical data:
YEAR TOTAL ENROLLMENT
  y
2015 2,000
2016 2,200
2017 2,800
2018 3,000
 
a) What is this year's forecast using a three-year simple moving average?
b) What is this year's forecast using a three-year weighted moving average with weights of 0.5, 0.3, and 0.22
c) What is this year's forecast using exponential smoothing with alpha=0.4, if year 2017's smoothed forecast was 2,600?
d) What is the slope (b) of the least squares trend line for these data?
e) What is the Y-intercept (a) of the least squares trend line for these data?
f) What is this year's forecast using the least squares trend line for these data?

In: Other

Suppose that the market for gourmet deli sandwiches is perfectly competitive and that the supply of...

Suppose that the market for gourmet deli sandwiches is perfectly competitive and that the supply of workers in this industry is upward-sloping, so that wages increase as industry output increases. Delis in this market face the following total cost:

TC = q3 - 20 q2 + 120 q + W

where,

Q = number of sandwiches

W = daily wages paid to workers

The wage, which depends on total industry output, equals: W = 0.3 Nq

where,

N = number of firms.

Assume that the market demand is:

QD = 900 - 10 P

1. What is the long-run equilibrium output for each firm?   

2. How much does the long-run equilibrium price change as the number of firms increases?

3. What is the long-run equilibrium number of firms?  

4. What is the total industry output?   

5. What is the long-run equilibrium price?

In: Economics

Suppose that the market for gourmet deli sandwiches is perfectly competitive and that the supply of...

Suppose that the market for gourmet deli sandwiches is perfectly competitive and that the supply of workers in this industry is upward-sloping, so that wages increase as industry output increases. Delis in this market face the following total cost:

TC = q3 - 10 q2 + 60 q + W

where,

Q = number of sandwiches

W = daily wages paid to workers

The wage, which depends on total industry output, equals: W = 0.3 Nq

where,

N = number of firms.

Assume that the market demand is:

QD = 900 - 5 P

1. What is the long-run equilibrium output for each firm?   

2. How much does the long-run equilibrium price change as the number of firms increases?

3. What is the long-run equilibrium number of firms?  

4. What is the total industry output?   

5. What is the long-run equilibrium price?

In: Economics

Given the price elasticities and price changes for the following products A–E in the table below,...

Given the price elasticities and price changes for the following products A–E in the table below, show how much the quantity will change (indicating an increase or decrease) and what effect this will have on total revenue (indicating an increase or decrease). Round your answers to 1 decimal place.

Product Price elasticity % ∆ Price %∆ Quantity ∆ Total revenue
A 0.6 increase by 9% (Click to select)  decrease  increase  by  % (Click to select)  increase  decrease  constant
B 1.3 decrease by 6% (Click to select)  increase  decrease  by  % (Click to select)  increase  decrease  constant
C 0.3 decrease by 12% (Click to select)  decrease  increase  by  % (Click to select)  increase  decrease  constant
D 1.0 increase by 4% (Click to select)  decrease  increase  by  % (Click to select)  increase  decrease  constant
E 3.3 increase by 5% (Click to select)  increase  decrease  by  % (Click to select)  increase  decrease  constant

In: Economics

Enter the exponential decay function described in the situation and answer the question asked. You may...

Enter the exponential decay function described in the situation and answer the question asked. You may find using a graphing calculator helpful in solving this problem.

Carbon-14 is a radioactive isotope of carbon that is used to date fossils. There are about 1.5 atoms of carbon-14 for every trillion atoms of carbon in the atmosphere, which known as 1.5 ppt (parts per trillion). Carbon in a living organism has the same concentration as carbon-14. When an organism dies, the carbon-14 content decays at a rate of 11.4% per millennium (1,000 years). Write the equation for carbon-14 concentration (in ppt) as a function of time (in millennia) and determine how old a fossil must be that has a measured concentration of 0.3 ppt. Round your answer to two decimal places.

The exponential decay function is c (t) = _________ .

The fossil is about ________ millennia old.

In: Chemistry

Please show the steps 1) Radio waves travel at the speed of light, 300,000 km/s. The...

Please show the steps

1) Radio waves travel at the speed of light, 300,000 km/s. The wavelength of a radio wave received at 100 megahertz is            1) _______

A) 3.0 m.

B) 300 m.

C) 0.3 m.

D) 30 m.

E) none of these

22) Two charged particles repel each other with a force F. If the charge of one of the particles is doubled and the distance between them is also doubled, then the force will be    22) ______

A) F/4.

B) 2 F.

C) F/2.

D) F.

E) none of these

23) Two charged particles attract each other with a force F. If the charges of both particles are doubled, and the distance between them also doubled, then the force of attraction will be            23) ______

A) 2 F.

B) F/4.

C) F.

D) F/2.

E) none of these

In: Physics

An investment website can tell what devices are used to access the site. The site managers...

  1. An investment website can tell what devices are used to access the site. The site managers wonder whether they should enhance the facilities for trading via smartphones so they want to estimate the proportion of users who access the site using smartphones. They draw a random sample of 200 investors from their customers. Suppose that the true proportion of smartphone users is 36%.
    1. What would you expect the shape of the sampling distribution for the sample proportion to be?
    2. What should the mean of this sampling distribution be?
    3. If the sample size was increased to 500, would either of your answers to parts (a) or (b) change? Explain.
    4. What would the standard deviation of the sampling distribution of the proportion of smartphone users be?
    5. What is the probability that the sample proportion of smartphone users is above 0.36?
    6. What is the probability that the sample proportion of smartphone users is between 0.3 and 0.4?
    7. What is the probability that the sample proportion of smartphone users is below 0.28?

In: Statistics and Probability