Seasonal affective disorder (SAD) is a type of depression during seasons with less daylight (e.g., winter months). One therapy for SAD is phototherapy, which is increased exposure to light used to improve mood. A researcher tests this therapy by exposing a sample of patients with SAD to different intensities of light (low, medium, high) in a light box, either in the morning or at night (these are the times thought to be most effective for light therapy). All participants rated their mood following this therapy on a scale from 1 (poor mood) to 9 (improved mood). The hypothetical results are given in the following table.
| Light Intensity | ||||
|---|---|---|---|---|
| Low | Medium | High | ||
| Time
of Day |
Morning | 5 | 5 | 7 |
| 6 | 6 | 8 | ||
| 4 | 4 | 6 | ||
| 7 | 7 | 9 | ||
| 5 | 8 | 5 | ||
| 6 | 8 | 8 | ||
| Night | 5 | 6 | 9 | |
| 8 | 8 | 7 | ||
| 6 | 7 | 6 | ||
| 7 | 4 | 8 | ||
| 4 | 9 | 7 | ||
| 3 | 8 | 6 | ||
(a) Complete the F-table and make a decision to retain or reject the null hypothesis for each hypothesis test. (Round your answers to two decimal places. Assume experimentwise alpha equal to 0.05.)
|
Source of Variation |
SS | df | MS | F |
|---|---|---|---|---|
| Time of day | ||||
| Intensity | ||||
| Time
of day × Intensity |
||||
| Error | ||||
| Total |
State the decision for the main effect of the time of day.
Retain the null hypothesis.Reject the null hypothesis.
State the decision for the main effect of intensity.
Retain the null hypothesis.Reject the null hypothesis.
State the decision for the interaction effect.
Retain the null hypothesis.Reject the null hypothesis.
(b) Compute Tukey's HSD to analyze the significant main effect.
The critical value is for each pairwise comparison.
Summarize the results for this test using APA format.
In: Statistics and Probability
1) Which of the following statements is most correct?
Select one:
a. The constant growth model is often appropriate for companies that never pay dividend.
b. The constant growth model is often appropriate for companies that the dividend growth rate is larger than its required rate of return on stock.
c. The constant growth model is inappropriate for mature companies with a stable history of growth.
d. Two firms with the same dividend and growth rate should have the same stock price.
e. The constant growth model can be applied to companies that expect zero dividend growth rate.
2) A stock’s dividend is expected to grow at a constant rate of 5% a year. Which of the following statements is most correct?
Select one:
a. The net income of the firm is expected to grow at a constant rate of 5% a year.
b. The expected return on the stock is 5% a year.
c. The stock’s dividend yield is 5%.
d. The required return rate of the stock is 5% a year.
e. The stock’s price one year from now is expected to be 5% higher.
3) Use the following information to answer the next question.
What is the expected price of the stock two years later?
Select one:
a. $36.42
b. $72.14
c. $57.14
d. $37.83
e. $35.36
4) Use the following information to answer the next question.
· The last dividend paid by Klein Company was $1.00.
· Klein's growth rate is expected to be a constant 20% for 3 years, after which dividends are expected to grow at a rate of 4% forever.
· Klein's required rate of return on equity is 10%.
What should be the current price of Klein's common stock?
Select one:
a. $36.84
b. $42.25
c. $50.16
d. $30.84
e. $26.08
5) Use the following information to answer the following question.
Analysts project the following free cash flows (FCFs) for Ezzell Corporation during the next 3 years, after which FCF is expected to grow at a constant 7% rate. Ezzell’s WACC is 12%. Ezzell has $100 in debt and 40 shares of stock.
| Year 0 | Year 1 | Year 2 | Year 3 | Year 4 |
|---|---|---|---|---|
| -$50 | $60 | $35 | ??? |
What should be Ezzell’s current stock price?
Select one:
a. $14.98
b. $11.53
c. $12.98
d. $13.22
e. $9.22
In: Finance
|
Relaxation |
Pharmaceutical |
|
98 |
20 |
|
117 |
35 |
|
51 |
130 |
|
28 |
83 |
|
65 |
157 |
|
107 |
138 |
|
88 |
49 |
|
90 |
142 |
|
105 |
157 |
|
73 |
39 |
|
44 |
46 |
|
53 |
194 |
|
20 |
94 |
|
50 |
95 |
|
92 |
161 |
|
112 |
154 |
|
71 |
75 |
|
96 |
57 |
|
86 |
34 |
|
92 |
118 |
|
75 |
41 |
|
41 |
145 |
|
102 |
148 |
|
24 |
117 |
|
96 |
177 |
|
108 |
119 |
|
102 |
186 |
|
35 |
22 |
|
46 |
61 |
|
74 |
75 |
In: Statistics and Probability
****PLEASE HELP WALK ME THROUGH SPSS, I HAVE BEEN STUCK ON THIS PROBLEM FOR DAYS! ****
|
Relaxation |
Pharmaceutical |
|
98 |
20 |
|
117 |
35 |
|
51 |
130 |
|
28 |
83 |
|
65 |
157 |
|
107 |
138 |
|
88 |
49 |
|
90 |
142 |
|
105 |
157 |
|
73 |
39 |
|
44 |
46 |
|
53 |
194 |
|
20 |
94 |
|
50 |
95 |
|
92 |
161 |
|
112 |
154 |
|
71 |
75 |
|
96 |
57 |
|
86 |
34 |
|
92 |
118 |
|
75 |
41 |
|
41 |
145 |
|
102 |
148 |
|
24 |
117 |
|
96 |
177 |
|
108 |
119 |
|
102 |
186 |
|
35 |
22 |
|
46 |
61 |
|
74 |
75 |
In: Statistics and Probability
|
Relaxation |
Pharmaceutical |
|
98 |
20 |
|
117 |
35 |
|
51 |
130 |
|
28 |
83 |
|
65 |
157 |
|
107 |
138 |
|
88 |
49 |
|
90 |
142 |
|
105 |
157 |
|
73 |
39 |
|
44 |
46 |
|
53 |
194 |
|
20 |
94 |
|
50 |
95 |
|
92 |
161 |
|
112 |
154 |
|
71 |
75 |
|
96 |
57 |
|
86 |
34 |
|
92 |
118 |
|
75 |
41 |
|
41 |
145 |
|
102 |
148 |
|
24 |
117 |
|
96 |
177 |
|
108 |
119 |
|
102 |
186 |
|
35 |
22 |
|
46 |
61 |
|
74 |
75 |
In: Statistics and Probability
Two cars are approaching each other, one traveling north with a momentum of 3 kg-m/s and one traveling east with a momentum of 4 kg-m/s. The two cars collide and stick together. Right after the collision (choose all that apply)
1. the eastern component of the momentum of the two cars is 4 kg-m/s.
2. the northern component of the momentum of the two cars is 3 kg-m/s.
3. the total momentum of the two cars is 7 kg-m/s
In: Physics
Blurred Sequence
Jojo as a treasure hunter has finally found the ancient treasure box. The treasure box has three layers of lock. Each layer of lock contains clues to unlock the lock.
The first layer of lock gives a sequence of numbers. But as we know that the treasure box is as old as the dinosaurs, the sequence is blurred as it goes to the end. Jojo can only read the first seven numbers of the sequence which is: 1 , 1 , 2 , 3 , 5 , 8 , 13, ... and the rest are blurred.
After a days of researching, Jojo found out that the sequence is a fibonacci sequence which each number is the sum of the two preceding ones. Formally, fibonacci sequence are written as Fi as the i-th fibonacci number and its property is Fi = Fi-1 + Fi-2 where i > 2 and in this case, the base cases are F1 = 1 and F2 = 1.
And it’s not even the riddle yet. The lock gives Jojo two numbers L and R and asks Jojo to get the sum of its digits from L-th fibonacci to R-th fibonacci inclusive. As a good friend of Jojo, help Jojo to solve the first layer lock riddle.
Format Input:
There are T testcases. Each testcase contains two integers L and R which indicates the numbers that the lock gives.
Format Output:
Output T line with format “Case # X: ”, where X indicates the testcase number and then followed by the answer of the riddle.
Constraints
• 1 ≤ T ≤ 100
• 1 ≤ L ≤ R ≤ 64
Sample Input (standard input):
5
1 4
3 5
6 7
9 9
3 11
Sample Output (standard output):
Case #1: 7
Case #2: 10
Case #3: 12
Case #4: 7
Case #5: 59
NOTE: USE C LANGUAGE, DONT USE FUNCTION(RESULT,RETURN),VOID,RECURSIVE, USE BASIC CODE AND CODE IT UNDER int main (){, constraint must be the same
In: Computer Science
Using a sample of 50 quarters of inflation data, you carry out an AR(2) model regression, and produce the following results:
| Coefficient | Standard error | |
| Intercept | 1.77 | 0 |
| Inflation t-1 | 0.12 | 0.01 |
| Inflation t-2 | 0.12 | 0.02 |
The two most recent quarterly annualized inflation observations in your data are 2.03 (second to last observation) and 2.18 (latest observation).
Based on these results, what is your prediction for the rate of inflation at time 52 (two quarters in the future from your latest observation)?
Please show on excel.
The answer is 2.3
In: Statistics and Probability
Orchard Relief is a product that is designed to improve sleep at night. The company, Eli Orchard, is guessing that sales of the product is somewhat related to sleeping patterns of customers over the days of the week. Before mass production of the product, Eli Orchid has market-tested Orchid Relief in only Orange County over the past 8 weeks. The weekly demand is recorded. Eli Orchid is now trying to use the sales pattern over the past 8 weeks to predict sales in US for the upcoming few weeks, especially for days 57 and 60. An accurate forecast would be helpful in arrangements for the company’s production processes and design of price promotions over each week.
Using the regression method on the de-seasonalized time series, what is a de-seasonalized forecast for day 60?
| Number of Days | Daily Demand |
| 1 | 297 |
| 2 | 293 |
| 3 | 327 |
| 4 | 315 |
| 5 | 348 |
| 6 | 447 |
| 7 | 431 |
| 8 | 283 |
| 9 | 326 |
| 10 | 317 |
| 11 | 345 |
| 12 | 355 |
| 13 | 428 |
| 14 | 454 |
| 15 | 305 |
| 16 | 310 |
| 17 | 350 |
| 18 | 328 |
| 19 | 366 |
| 20 | 460 |
| 21 | 427 |
| 22 | 291 |
| 23 | 325 |
| 24 | 354 |
| 25 | 322 |
| 26 | 405 |
| 27 | 442 |
| 28 | 450 |
| 29 | 318 |
| 30 | 298 |
| 31 | 355 |
| 32 | 355 |
| 33 | 374 |
| 34 | 447 |
| 35 | 463 |
| 36 | 291 |
| 37 | 319 |
| 38 | 333 |
| 39 | 339 |
| 40 | 416 |
| 41 | 475 |
| 42 | 459 |
| 43 | 319 |
| 44 | 326 |
| 45 | 356 |
| 46 | 340 |
| 47 | 395 |
| 48 | 465 |
| 49 | 453 |
| 50 | 307 |
| 51 | 324 |
| 52 | 350 |
| 53 | 348 |
| 54 | 384 |
| 55 | 474 |
| 56 | 485 |
In: Statistics and Probability
Orchard Relief is a product that is designed to improve sleep at night. The company, Eli Orchard, is guessing that sales of the product is somewhat related to sleeping patterns of customers over the days of the week. Before mass production of the product, Eli Orchid has market-tested Orchid Relief in only Orange County over the past 8 weeks. The weekly demand is recorded. Eli Orchid is now trying to use the sales pattern over the past 8 weeks to predict sales in US for the upcoming few weeks, especially for days 57 and 60. An accurate forecast would be helpful in arrangements for the company’s production processes and design of price promotions over each week.
What is the MAD using the exponential smoothing constant of 0.7?
| Number of Days | Daily Demand |
| 1 | 297 |
| 2 | 293 |
| 3 | 327 |
| 4 | 315 |
| 5 | 348 |
| 6 | 447 |
| 7 | 431 |
| 8 | 283 |
| 9 | 326 |
| 10 | 317 |
| 11 | 345 |
| 12 | 355 |
| 13 | 428 |
| 14 | 454 |
| 15 | 305 |
| 16 | 310 |
| 17 | 350 |
| 18 | 328 |
| 19 | 366 |
| 20 | 460 |
| 21 | 427 |
| 22 | 291 |
| 23 | 325 |
| 24 | 354 |
| 25 | 322 |
| 26 | 405 |
| 27 | 442 |
| 28 | 450 |
| 29 | 318 |
| 30 | 298 |
| 31 | 355 |
| 32 | 355 |
| 33 | 374 |
| 34 | 447 |
| 35 | 463 |
| 36 | 291 |
| 37 | 319 |
| 38 | 333 |
| 39 | 339 |
| 40 | 416 |
| 41 | 475 |
| 42 | 459 |
| 43 | 319 |
| 44 | 326 |
| 45 | 356 |
| 46 | 340 |
| 47 | 395 |
| 48 | 465 |
| 49 | 453 |
| 50 | 307 |
| 51 | 324 |
| 52 | 350 |
| 53 | 348 |
| 54 | 384 |
| 55 | 474 |
| 56 | 485 |
In: Statistics and Probability