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.

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

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 not 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 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 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 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 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.

EEOC v. Red Robin Review Assignment)

1. Why was the employee in the case fired?

2. What was the basis of the employee’s claim against Red Robin?

3. Which party was successful in the claim?

4. What was the basis for the success of the prevailing party in the case?

5. Do you agree or disagree with the ruling? Why?

The table lists the number of students from three different high schools participating in the mathematics and physics sections of a science fair High School 1 High School 2 High School 3 Mathematics 7 7 18 Physics 37 17 21

Given the following results.

a) State the alternative hypothesis statement. (1 mark)

b) State the degrees of freedom. (1 mark)

c) Find the value of A, B, and C. d) Using the p-value method, at α = 0.05, test the claim that the section of participation and the high school where the students were from are independent.

Review the CMS.gov 30-Day Mortality and Readmission Data website. Review at least two local hospitals and see how they compare to state and national benchmarks. How and why may a consumer or a health care professional use this data to make decision about their next hospitalization? Will reporting this data have an impact on hospitals bottom line in addition to financial penalties from CMS? Give at least two examples of how this data may be used and what type of impact if may have if at all on the hospitals.

Review the CMS.gov 30-Day Mortality and Readmission Data website. Review at least two local hospitals and see how they compare to state and national benchmarks. How and why may a consumer or a health care professional use this data to make decision about their next hospitalization? Will reporting this data have an impact on hospitals bottom line in addition to financial penalties from CMS? Give at least two examples of how this data may be used and what type of impact if may have if at all on the hospitals.

A candy company claims that the proportions of lemon, lime, cherry, and grape candies in its fruit-flavored candy bags are equal. A random sample of 500 candies gave the following results: 138 lemon, 114 lime, 130 cherry, and 118 grape. Use a significance level of 0.05 to test the claim that the proportions are what the candy company states. (Remember to state the null and alternative hypotheses, p-value, conclusion about the null hypothesis and final conclusion that addresses the original claim, i.e. explanatory sentence).

ABC is a United States company that has a manufacturing subsidiary in Brazil. There have been large changes in the USD/BRL exchange rate over the last 5 years and the company has forecasted the following possible exchange rates and subsidiary values over the next year:

(a) Find the exchange exposure coefficient faced by ABC for its Brazilian subsidiary (i.e. find the b estimate from a regression)

(b) Describe in detail a hedge you could put in place to reduce this exchange exposure over the next 12 months using forward contracts.

(c) Show the effect of the hedge on the value of the subsidiary in $ if each state of the world occurs.

(i) What are the limitations of quantitative (based on statistics) inspections of plant safety?

State the reasons for the preference of qualitative plant safety inspections.

(ii)Give examples of methods by which hazard levels may be limited in industry.

(iii)explain your understanding of initiating and contributing hazards resulting in injury and damage of a pressurized steel tank.

Using Chapter 6 of American Government, explain how the political culture of a state, the workplace, and political elites can influence/shape public opinion. Explain examples that demonstrate how each of the three factors can influence public opinion. Then choose one of the three factors and explain how you see this factor play itself out in your family, among your friends, in your workplace, community, etc.