Researchers at the University of South Alabama compared the attitudes of male college students towards their fathers with their attitudes toward their mother. Each of a sample of 13 males was asked to give a numerical grade to describe his relationship with his father and a numerical grade to describe his relationship with his mother, with 1 being the lowest and 5 being the highest. The result is reported as follows:
| Father | Mother | Difference | |
| Mean | 3.85 | 4.15 | -0.31 |
| Sx | 1.07 | 0.8 | 1.03 |
Assuming that the data is Normal, construct a 99%
confidence
interval for the difference between male college students' attitude
between their father and mother. Round your answer to 3 decimal
places.
Group of answer choices
(-1.183,-0.563)
(-0.529,0.071)
(-1.336,0.736)
(-1.183,0.563)
(-1.343,0.743)
In: Statistics and Probability
In: Finance
A company XYZ needs 1 million € worth of funds. It issues bonds
worth 100,000 €. Each bond has a par value of 1000 € and a coupon
rate of 5% each year for 10 years. The current market price of the
bond is 850 €. Remaining amount company raises by selling shares.
The required rate of return on its shares is 8% and the marginal tax
rate is equal to 20%. Calculate the WACC?
part b):
BB industries’ share has a beta of 0.8. The risk-free rate is 4% and the
expected return on the market is 12%. BB industries is funding 60% of
its investments from shares and the rest from bonds. The marginal tax
rate is equal to 15%. The yield to maturity on its bonds is 7%.
Calculate the WACC.
In: Finance
A population of male university students has a distribution of weights and heights that follow a bivariate normal distribution. The distribution of weights it has an average of 72 kg and a standard deviation of 8 kg. The height distribution has an average of 170 cm and deviation standard 10 cm. The correlation coefficient between weights and heights is 0.8. Using these information calculate: a) The probability of a boy's weight being between 70 and 80 kg. b) The probability that a boy's weight is between 70 and 80 kg since his height is 180 cm. c) The probability of a boy's height being between 175 and 185 cm. d) The probability of a boy's height being between 175 and 185 cm given that his weight is 80 kg.
In: Statistics and Probability
From the following information from the payroll register of
Veronica's Auto Supply Store, calculate the amount of taxable
earnings for unemployment and FICA tax, and prepare the journal
entry to record the employer's payroll taxes as of April 30, 20--.
Social Security tax is 6.2% on the first $94,200 of earnings for
each employee. Medicare tax is 1.45% of gross earnings. FUTA tax is
0.8%, and SUTA tax is 5.4% each on the first $7,000 of
earnings.
|
Cumulative Pay |
Current |
Taxable Earnings |
||
Employee Name |
Before Current |
Gross |
Unemployment |
Social |
| Carnavale, Liz | $ 6,400 |
$1,800 |
||
| O'Malley, Sean | 6,850 |
1,800 |
||
| Sarlo, Jarred | 109,300 |
3,700 |
||
| Mandel, Melissa | 74,200 |
3,200 |
||
| Davenport, Vin | 27,500 |
1,800 |
||
In: Accounting
The following month of April (30 days) financial information was reported by three furniture building companies. Calculate the cash-to-cash cycle time for each of the following furniture building companies: Craig Custom Couch Builders, Tom's Tables, and Jefferson Emerald Design. Which company managed its cash flow best in April?
|
Net Revenue |
Cost of Revenue (%) |
Raw Goods Inventory |
WIP Inventory |
Finished Goods Inventory |
Account Receivable |
Accounts Payable |
|
|
Craig Custom Couch Builders |
11000 |
0.8 |
540 |
268 |
280 |
2680 |
4100 |
|
Tom's Tables |
18000 |
0.75 |
680 |
140 |
600 |
3210 |
3200 |
|
Jefferson Emerald Design |
8000 |
0.85 |
240 |
200 |
180 |
2200 |
2400 |
In: Finance
20. Company Q’s ROE (return on equity) is 14%. It pays out one-half of its earnings as cash dividends (payout ratio = 50%). Current book value per share is $50. Book value per share will grow as Q reinvests earnings. Assume that the ROE and payout ratio stay constant for the next 4 years. After that, competition forces ROE down to 11.5% and the payout increases to 0.8. The cost of capital is 11.5%. a. What are Q’s EPS and dividends next year? How will dividends grow in years 2, 3, 4, 5 and subsequent years? b. What is Q’s stock worth per share? How does that value depend on the payout ratio and growth rate after year 4?
In: Finance
Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 7%, and the market’s average return was 15%. Performance is measured using an index model regression on excess returns.
| Stock A | Stock B | ||||||||||
| Index model regression estimates | 1% + 1.2(rM − rf) | 2% + 0.8(rM − rf) | |||||||||
| R-square | 0.641 | 0.469 | |||||||||
| Residual standard deviation, σ(e) | 11.4% | 20.2% | |||||||||
| Standard deviation of excess returns | 22.7% | 27.1% | |||||||||
a. Calculate the following statistics for each stock: (Round your answers to 4 decimal places.)
|
||||||||||||||||||||||||||||||
In: Finance
Please solve this to practice the concept of MPC and MPS and how to calculate consumption, GDP and saving in a closed economy with only households.
1. Answer the question on the basis of the following consumption
schedule: C = 20 + .9Y, where C is
consumption and Y is disposable income. What is the MPC
and What is MPS?
2. Tessa's break-even income is $10,000 and her MPC is 0.75. If her actual disposable income is $16,000 how much does she save?
3. If DI is $275 billion and the APC is 0.8, then how much is the saving in this economy? (Hint: Use APC to estimate C for $275 billion of DI)
4. If S = -200 + .15Y, where S is saving and Y is disposable income. What is the MPC? What is the schedule for C?
In: Economics
4. The following are 20 observations of response times (in seconds) from a random sample of participants on a cognitive psychology task:
1.7 0.8 4.3 2.9 2.3 1.1 2.2 1.8 2.0 1.2 4.4 1.6 3.8 1.5 2.8
3.3 1.8 2.5 2.7 1.6
(a) Calculate the mean and unbiased standard deviation of the response times.
(b) Construct and interpret a 95% confidence interval for μ, which is the true mean response time. Assume that σ = 1.5.
(c) Construct and interpret a 90% confidence interval for μ, which is the true mean response time. Assume that σ is unknown.
(d) What would happen to the width of your confidence interval if our sample size increased? Explain.
In: Statistics and Probability