An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use . Factor A is method of loading and unloading; Factor B is the type of ride.

Set up the ANOVA table (to whole number, but -value to 2 decimals and  value to 1 decimal, if necessary).

Bob, Jim and Mimi are sitting in the park and talking about the great birthday party Bob had recently. Suddenly, Bob asks: “Mimi, when is your birthday?” Mimi replies: “Let’s see if you can figure it out”.

Mimi takes a sheet of paper and writes the following dates on it:

April 18

April 19

April 22

May 20

May 21

June 17  

June 19

July 17

July 18

July 20

Then, she says: “One of these dates is my birthday. I will now tell Bob the month of my birthday, and I will tell Jim the day of my birthday”. So, Mimi whispers the month in Bob’s ear, and she whispers the day in Jim’s ear. Mimi says: “without saying out loud what I just whispered in your ears, do any of you know my birthday?” Bob says: “I don’t know, and I know that Jim doesn’t know either” Jim says: “At first I didn’t know, but now I know”. Bob says: “Now I know too”. What is Mimi’s birthday?

Based on the number of students dine in Deer Park Tavern, the manager determines that following number of waiters and waitresses are needed for each day of a week:

The manager hires full time workers (waiters or waitresses) who normally work consecutively for 5 days followed by 2 day off. Additional part time workers can be hired who are required to work two days in a row. Part time workers are paid 25% more daily. Assuming that all workers are equally paid (you may assume $1/day for full time workers) within each category, respectively. In addition, to maintain the quality of service, part time workers on each day should be no more than 40% of full time workers.

Set up an Excel LP model to find a shift schedule for the manager to minimize the operating cost.

The daily amount of water drunk by an elephant in Serengeti National Park is evenly distributed between 0 and 60 liters. 1. What is the probability that an elephant drinks only 25 liters of water at during a day? 2. What is the probability that it will take 40 days for an elephant drink at least 45 liters of water for the first time? 3. What is the probability that it will take 11 days for an elephant drink at least 45 liters of water for the fifth time? 4. There is a certain parasite in these elephants. We have identified in average 35 of these parasites per elephant. What is the probability that we find more than 2 parasites on a randomly chosen elephant

The health of the bear population in Yellowstone National Park is monitored by periodic measurements taken from anesthetized bears. A sample of 54 bears has a mean weight of 182.9 pounds. Assuming that ? is known to be 121.8 pounds, test the claim that the population mean of the weights of all Yellowstone bears is greater than 150 pounds.

a. What are the null and alternative hypotheses?

b. What type of test is this? (left-tailed, right-tailed, two-tailed)

c. Find the z-score (standard score) for the sample mean

d. What is the P-value?

e. State the conclusion for the 0.05 significance level.

f. State the conclusion for the 0.01 significance level.

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use a= 0.05 . Factor A is method of loading and unloading; Factor B is the type of ride.

Set up the ANOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary).

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = 0.05.

Find the value of the test statistic for method of loading and unloading.

_____________.

Find the p-value for method of loading and unloading. (Round your answer to three decimal places.)

p-value = _________.

Find the value of the test statistic for type of ride.

____________.

Find the p-value for type of ride. (Round your answer to three decimal places.)

p-value = __________.

Find the value of the test statistic for interaction between method of loading and unloading and type of ride.

____________.

Find the p-value for interaction between method of loading and unloading and type of ride. (Round your answer to three decimal places.)

p-value = _____________.

Hollydale's is a clothing store in East Park. It paid an annual dividend of ​$1.901.90 last year to its shareholders and plans to increase the dividend annually at 4.0%. It has 600,000 shares outstanding. The shares currently sell for$27.27 per share. Hollydale's has 17,000 semiannual bonds outstanding with a coupon rate of 77​%, a maturity of 21​years, and a par value of​ 1,000. The bonds are currently selling for $738.65 per bond. What is the adjusted WACC for​ Hollydale's if the corporate tax rate is 25​%?

What is the adjusted WACC for​ Hollydale's if the corporate tax rate is 25​%?

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = 0.05.

Find the value of the test statistic for method of loading and unloading.

Find the p-value for method of loading and unloading. (Round your answer to three decimal places.)

p-value =

State your conclusion about method of loading and unloading.

Because the p-value ≤ α = 0.05, method of loading and unloading is significant.Because the p-value > α = 0.05, method of loading and unloading is significant.    Because the p-value > α = 0.05, method of loading and unloading is not significant.Because the p-value ≤ α = 0.05, method of loading and unloading is not significant.

Find the value of the test statistic for type of ride.

Find the p-value for type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about type of ride.

Because the p-value ≤ α = 0.05, type of ride is not significant.Because the p-value ≤ α = 0.05, type of ride is significant.    Because the p-value > α = 0.05, type of ride is not significant.Because the p-value > α = 0.05, type of ride is significant.

Find the value of the test statistic for interaction between method of loading and unloading and type of ride.

Find the p-value for interaction between method of loading and unloading and type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about interaction between method of loading and unloading and type of ride.

Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is significant.Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is not significant.    Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is not significant.Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is significant.