A study of depression and exercise was conducted. A total of 5 groups were used: each group differs by the extent to which group members exercise. A depression rating (scale: 1-100, a continuous variable) was given to all 1410 participants in the sample. An incompleted ANOVA table is provided below. What is the obtained F (i.e., value in Cell [8])?
|
Sum of Squares |
df |
Mean Square |
F |
|
|
Between-Group |
[1] |
[2] |
[5] |
[8] |
|
Within-Group |
185 |
[3] |
[6] |
[9] |
|
Total |
222 |
[4] |
[7] |
[10] |
| 0.84 |
| 70.08 |
| None provided. |
| 58.54 |
| 0.2 |
In: Math
Problem 4-23
Determinants of Interest Rates
Suppose you and most other investors expect the inflation rate to be 8% next year, to fall to 5% during the following year, and then to remain at a rate of 3% thereafter. Assume that the real risk-free rate, r*, will remain at 2% and that maturity risk premiums on Treasury securities rise from zero on very short-term securities (those that mature in a few days) to a level of 0.2 percentage points for 1-year securities. Furthermore, maturity risk premiums increase 0.2 percentage points for each year to maturity, up to a limit of 1.0 percentage point on 5-year or longer-term T-notes and T-bonds.
Calculate the interest rate on 1-year Treasury securities.
Round your answer to two decimal places.
%
Calculate the interest rate on 2-year Treasury securities. Round
your answer to two decimal places.
%
Calculate the interest rate on 3-year Treasury securities. Round
your answer to two decimal places.
%
Calculate the interest rate on 4-year Treasury securities. Round
your answer to two decimal places.
%
Calculate the interest rate on 5-year Treasury securities. Round
your answer to two decimal places.
%
Calculate the interest rate on 10-year Treasury securities. Round
your answer to two decimal places.
%
Calculate the interest rate on 20-year Treasury securities. Round
your answer to two decimal places.
%
In: Finance
You plan to invest in the Kish Hedge Fund, which has total capital of $500 million invested in five stocks:
| Stock | Investment | Stock's Beta Coefficient |
| A | $160 million | 0.4 |
| B | 120 million | 1.1 |
| C | 80 million | 2.2 |
| D | 80 million | 1.0 |
| E | 60 million | 1.5 |
Kish's beta coefficient can be found as a weighted average of its stocks' betas. The risk-free rate is 3%, and you believe the following probability distribution for future market returns is realistic:
| Probability | Market Return |
| 0.1 | -27% |
| 0.2 | 0 |
| 0.4 | 12 |
| 0.2 | 32 |
| 0.1 | 45 |
In: Finance
You plan to invest in the Kish Hedge Fund, which has total capital of $500 million invested in five stocks:
| Stock | Investment | Stock's Beta Coefficient |
| A | $160 million | 0.6 |
| B | 120 million | 1.2 |
| C | 80 million | 2.1 |
| D | 80 million | 1.0 |
| E | 60 million | 1.9 |
Kish's beta coefficient can be found as a weighted average of its stocks' betas. The risk-free rate is 4%, and you believe the following probability distribution for future market returns is realistic:
| Probability | Market Return | |
| 0.1 | -30 | % |
| 0.2 | 0 | |
| 0.4 | 11 | |
| 0.2 | 32 | |
| 0.1 | 54 | |
-Select-IIIIIIIVVItem 1
%
The new stock should or should not be purchased.?
At what expected rate of return should Kish be indifferent to purchasing the stock? Round your answer to two decimal places.
%
In: Finance
EXPECTED RETURNS
Stocks A and B have the following probability distributions of expected future returns:
| Probability | A | B |
| 0.1 | (8%) | (21%) |
| 0.2 | 6 | 0 |
| 0.4 | 10 | 24 |
| 0.2 | 24 | 30 |
| 0.1 | 36 | 49 |
Calculate the expected rate of return, rB, for Stock
B (rA = 12.80%.) Do not round intermediate calculations.
Round your answer to two decimal places.
%
Calculate the standard deviation of expected returns,
σA, for Stock A (σB = 18.87%.) Do not round
intermediate calculations. Round your answer to two decimal
places.
%
Now calculate the coefficient of variation for Stock B. Round your answer to two decimal places.
Is it possible that most investors might regard Stock B as being less risky than Stock A?
Select one:
In: Finance
(1) American ladybugs have an average adult length of 1 cm with a known standard deviation of 0.2 cm. The population of American ladybugs in Raleigh was around 1914000 last spring. Assume a normal distribution for the lengths of adult American ladybugs.
Your niece asks you what's the probability of a random ladybug in Raleigh being bigger than 1.5 cm. Is it appropriate to calculate this probability?
Select one: a. Yes.
b. No, because the population distribution is skewed.
c. No, because the sample size is less than 30.
d. No, because the empirical rule is violated.
(2)Regardless of your answer to the previous question, calculate this probability using a normal distribution. Report your answer to four decimal places.
(3)
Although it would be difficult in practice, assume we are able to randomly sample 20 American ladybugs. What's the sampling distribution of the sample mean of these ladybugs?
Select one:
a. A t-distribution with 19 degrees of freedom
b. The sampling distribution is unknown because relevant assumptions are violated.
c. A normal distribution with mean 1 and standard deviation 0.2.
d. A normal distribution with mean 1 and standard deviation 0.045.
(4) Calculate the probability of observing an average American ladybug length between 0.95 cm and 1.05 cm for a random sample of 20 ladybugs. Give your answer accurate to four decimal places. If you found assumptions to be violated in the previous question, answer this question as if the assumptions had not been violated.
In: Statistics and Probability
|
Consider the following time series data:
|
||||||||||||||||||||||||||
| - Select your answer -Graph (i)Graph (ii)Graph (iii)Graph (iv)Item 1 | ||||||||||||||||||||||||||
| What type of pattern exists in the data? | ||||||||||||||||||||||||||
| - Select your answer -Positive trend patternHorizontal patternVertical patternNegative trend patternItem 2 | ||||||||||||||||||||||||||
| (b) | Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. | |||||||||||||||||||||||||
| If required, round your answers to two decimal places. Do not round intermediate calculation. | ||||||||||||||||||||||||||
| MSE: | ||||||||||||||||||||||||||
| The forecast for month 8: | ||||||||||||||||||||||||||
| (c) | Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8. | |||||||||||||||||||||||||
| If required, round your answers to two decimal places. Do not round intermediate calculation. | ||||||||||||||||||||||||||
| MSE: | ||||||||||||||||||||||||||
| The forecast for month 8: | ||||||||||||||||||||||||||
| (d) | Compare the three-month moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE? | |||||||||||||||||||||||||
| - Select your answer -3-month moving average exponential smoothingItem 7 | ||||||||||||||||||||||||||
| (e) | Use trial and error to find a value of the exponential smoothing coefficient α that results in the smallest MSE. | |||||||||||||||||||||||||
| If required, round your answer to two decimal places. | ||||||||||||||||||||||||||
| α = |
In: Statistics and Probability
We are interested in how long on average it takes Deadpool to
grow back a leg. A simple random sample of 25 occasions results in
an average of 63 minutes before Deadpool's leg grows back. Assume
that the standard deviation of all grow-back-times is 10
minutes.
A. The 80% confidence interval for Deadpool's average time to grow
back a leg is ( , ). (Answers to two places after the
decimal.)
B. Unless our sample is among the most unusual 5% of samples,
Deadpool's average time to grow back a leg is between ( ) and ( ) .
(Answers to two places after the decimal.)
C. Vanessa claims that average, it takes Deadpool 65 minutes to
grow back a leg. Do we have evidence that she's exaggerating the
truth at each of the following levels?
The associated p-value for this hypothesis test is ( ) (Answers to
four places after the decimal.)
At the 15% level:
At the 13% level:
At the 10% level:
At the 7% level:
At the 5% level:
At the 3% level:
At the 2% level:
At the 1% level:
At the 0.2% level:
At the 0.1% level:
D. Colossus claims that average, it takes Deadpool 65 minutes to
grow back a leg. Do we have evidence that he's mistaken at each of
the following levels?
The associated p-value for this hypothesis test is ( ) (Answers to
four places after the decimal.)
- At the 20% level:
- At the 15% level:
- At the 13% level:
- At the 10% level:
- At the 7% level:
- At the 5% level:
- At the 3% level:
- At the 2% level:
- At the 1% level:
- At the 0.2% level:
- At the 0.1% level:
In: Statistics and Probability
An object of irregular shape has a characteristic length of L = 1 m and is maintained at a uniform surface temperature of Ts = 325 K. It is suspended in an airstream that is at atmospheric pressure (p = 1 atm) and has a velocity of V = 100 m/s and a temperature of T? = 275 K. The average heat flux from the surface to the air is 12,000 W/m2. Referring to the foregoing situation as case 1, consider the following cases and determine whether conditions are analogous to those of case 1. Each case involves an object of the same shape, which is suspended in an airstream in the same manner. Where analogous behavior does exist, determine the corresponding value of the average heat or mass transfer convection coefficient, as appropriate.
(a) The values of Ts, T?, and p remain the same, but L = 2 m and V = 50 m/s.
(b) The values of Ts and T? remain the same, but L = 2 m, V = 50 m/s, and p = 0.2 atm.
(c) The surface is coated with a liquid film that evaporates into the air. The entire system is at 300 K, and the diffusion coefficient for the air–vapor mixture is DAB = 1.12 × 10?4 m2/s. Also, L = 2 m, V = 50 m/s, and p = 1 atm.
(d) The surface is coated with another liquid film for which DAB = 1.12 × 10?4 m2/s, and the system is at 300 K. In this case L = 2 m, V = 250 m/s, and p = 0.2 atm.
In: Mechanical Engineering
You plan to invest in the Kish Hedge Fund, which has total capital of $500 million invested in five stocks:
| Stock | Investment | Stock's Beta Coefficient |
| A | $160 million | 0.5 |
| B | 120 million | 1.4 |
| C | 80 million | 1.8 |
| D | 80 million | 1.0 |
| E | 60 million | 1.6 |
Kish's beta coefficient can be found as a weighted average of its stocks' betas. The risk-free rate is 5%, and you believe the following probability distribution for future market returns is realistic:
| Probability | Market Return | |
| 0.1 | -29 | % |
| 0.2 | 0 | |
| 0.4 | 12 | |
| 0.2 | 31 | |
| 0.1 | 50 | |
-Select-IIIIIIIVV
%
The new stock -Select-should notshould be purchased.
At what expected rate of return should Kish be indifferent to purchasing the stock? Round your answer to two decimal places.
%
In: Finance