48. REVPASH was a great metric if used based on historical data to subtly turn tables, get customers to pay the check, and create upsell incentives”

T / F

49. If a hotel is missing one of the two prong tests for termination, say Revpar is 85, it is so low that an ownership group could theoretically cancel the contract with the management company because of gross mismanagement related to just RevPAR.

T / F

50.   Most employees quit their job because of salaries and benefits below the market average and not for any other reason.

T / F

1.

In a certain school district, it was observed that 30% of the students in the element schools were classified as only children (no siblings). However, in the special program for talented and gifted children, 136 out of 392 students are only children. The school district administrators want to know if the proportion of only children in the special program is significantly different from the proportion for the school district. Test at the α=0.02 level of significance.

What is the hypothesized population proportion for this test?
p=
(Report answer as a decimal accurate to 2 decimal places. Do not report using the percent symbol.)

Based on the statement of this problem, how many tails would this hypothesis test have?

• one-tailed test
• two-tailed test

Choose the correct pair of hypotheses for this situation:

Ha:p<0.3

Ha:p≠0.3

Ha:p>0.3

Ha:p<0.347

Ha:p≠0.347

Ha:p>0.347

(A)

(B)

(C)

(D)

(E)

(F)

Using the normal approximation for the binomial distribution (without the continuity correction), what is the test statistic for this sample based on the sample proportion?
z=
(Report answer as a decimal accurate to 3 decimal places.)

You are now ready to calculate the P-value for this sample.
P-value =
(Report answer as a decimal accurate to 4 decimal places.)

This P-value (and test statistic) leads to a decision to...

• reject the null
• accept the null
• fail to reject the null
• reject the alternative

As such, the final conclusion is that...

• There is sufficient evidence to warrant rejection of the assertion that there is a different proportion of only children in the G&T program.
• There is not sufficient evidence to warrant rejection of the assertion that there is a different proportion of only children in the G&T program.
• The sample data support the assertion that there is a different proportion of only children in the G&T program.
• There is not sufficient sample evidence to support the assertion that there is a different proportion of only children in the G&T program.

2.

In a certain school district, it was observed that 29% of the students in the element schools were classified as only children (no siblings). However, in the special program for talented and gifted children, 122 out of 374 students are only children. The school district administrators want to know if the proportion of only children in the special program is significantly different from the proportion for the school district. Test at the α=0.01 level of significance.

What is the hypothesized population proportion for this test?
p=

(Report answer as a decimal accurate to 2 decimal places. Do not report using the percent symbol.)

Based on the statement of this problem, how many tails would this hypothesis test have?

• one-tailed test
• two-tailed test

Choose the correct pair of hypotheses for this situation:

Ha:p<0.29

Ha:p≠0.29

Ha:p>0.29

Ha:p<0.326

Ha:p≠0.326

Ha:p>0.326

(A)

(B)

(C)

(D)

(E)

(F)

Using the normal approximation for the binomial distribution (without the continuity correction), was is the test statistic for this sample based on the sample proportion?
z=
(Report answer as a decimal accurate to 3 decimal places.)

You are now ready to calculate the P-value for this sample.
P-value =
(Report answer as a decimal accurate to 4 decimal places.)

This P-value (and test statistic) leads to a decision to...

• reject the null
• accept the null
• fail to reject the null
• reject the alternative

As such, the final conclusion is that...

• There is sufficient evidence to warrant rejection of the assertion that there is a different proportion of only children in the G&T program.
• There is not sufficient evidence to warrant rejection of the assertion that there is a different proportion of only children in the G&T program.
• The sample data support the assertion that there is a different proportion of only children in the G&T program.
• There is not sufficient sample evidence to support the assertion that there is a different proportion of only children in the G&T program.

Problem 6-20 CVP Applications: Break-Even Analysis; Cost Structure; Target Sales [LO6-1, LO6-3, LO6-4, LO6-5, LO6-6, LO6-8]

Northwood Company manufactures basketballs. The company has a ball that sells for $25. At present, the ball is manufactured in a small plant that relies heavily on direct labor workers. Thus, variable expenses are high, totaling $15.00 per ball, of which 60% is direct labor cost.

Last year, the company sold 36,000 of these balls, with the following results:

Required:

1. Compute (a) last year's CM ratio and the break-even point in balls, and (b) the degree of operating leverage at last year’s sales level.

2. Due to an increase in labor rates, the company estimates that next year's variable expenses will increase by $3.00 per ball. If this change takes place and the selling price per ball remains constant at $25.00, what will be next year's CM ratio and the break-even point in balls?

3. Refer to the data in (2) above. If the expected change in variable expenses takes place, how many balls will have to be sold next year to earn the same net operating income, $97,000, as last year?

4. Refer again to the data in (2) above. The president feels that the company must raise the selling price of its basketballs. If Northwood Company wants to maintain the same CM ratio as last year (as computed in requirement 1a), what selling price per ball must it charge next year to cover the increased labor costs?

5. Refer to the original data. The company is discussing the construction of a new, automated manufacturing plant. The new plant would slash variable expenses per ball by 40.00%, but it would cause fixed expenses per year to double. If the new plant is built, what would be the company’s new CM ratio and new break-even point in balls?

6. Refer to the data in (5) above.

a. If the new plant is built, how many balls will have to be sold next year to earn the same net operating income, $97,000, as last year?

b. Assume the new plant is built and that next year the company manufactures and sells 36,000 balls (the same number as sold last year). Prepare a contribution format income statement and compute the degree of operating leverage.

ANSWER 5-6B

5. Refer to the original data. The company is discussing the construction of a new, automated manufacturing plant. The new plant would slash variable expenses per ball by 40.00%, but it would cause fixed expenses per year to double. If the new plant is built, what would be the company’s new CM ratio and new break-even point in balls? (Round "CM Ratio" to 2 decimal places and "Unit sales to break even" to the nearest whole unit.)

6.

If the new plant is built, how many balls will have to be sold next year to earn the same net operating income, $97,000, as last year? (Round your answer to the nearest whole unit.)

Question 9 options:

Levi-Strauss Co manufactures clothing. The quality control department measures weekly values of different suppliers for the percentage difference of waste between the layout on the computer and the actual waste when the clothing is made (called run-up). The data is in the following table, and there are some negative values because sometimes the supplier is able to layout the pattern better than the computer ("Waste run up," 2013).

Table #11.3.3: Run-ups for Different Plants Making Levi Strauss Clothing

Do the data show that there is a difference between some of the suppliers? Test at the 1% level

**********************************************************************

Let x₁ = percentage difference of waste between the layout on the computer and the actual waste when the clothing is made (called run-up) from plant 1

Let x₂ = percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 2

Let x₃ = percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 3

Let x₄ = percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 4

Let x₅ = percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 5

Let ?₁ = mean percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 1

Let ?₂ = mean percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 2

Let ?₃ = mean percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 3

Let ?₄ = mean percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 4

Let ?₅ = mean percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 5

(i) Which of the following statements correctly defines the null hypothesis H_O?

A. All five mean percentage differences are equal

B. Two of the mean percentage differences are not equal

C. At least four of the mean percentage differences are equal

D. At least two of the mean percentage differences are not equal

Enter letter corresponding to correct answer

Let ?₁ = mean percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 1

Let ?₂ = mean percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 2

Let ?₃ = mean percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 3

Let ?₄ = mean percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 4

Let ?₅ = mean percentage difference of waste between the layout on the computer and the actual waste of run-up from plant 5

(ii) Which of the following statements correctly defines the alternate hypothesis H_A?

A. All five mean percentage differences are equal

B. Two of the mean percentage differences are not equal

C. At least four of the mean percentage differences are equal

D. At least two of the mean percentage differences are not equal

Enter letter corresponding to correct answer

(iii) Enter the level of significance ? used for this test:

Enter in decimal form. Examples of correctly entered answers:  0.01    0.02    0.05    0.10

(iii) Calculate sample mean and sample standard deviation for Plant 1 sample

Enter sample mean in decimal form to nearest hundredth, then comma, then sample standard deviation in decimal form to nearest hundredth. Examples of correctly entered answers:  

13.27,2.31

0.27,0.06

-10.30,0.79

(v)  Calculate sample mean and sample standard deviation for Plant 2 sample

Enter sample mean in decimal form to nearest hundredth, then comma, then sample standard deviation in decimal form to nearest hundredth. Examples of correctly entered answers:  

13.27,2.31

0.27,0.06

-10.30,0.79

(vi) Calculate sample mean and sample standard deviation for Plant 3 sample

Enter sample mean in decimal form to nearest hundredth, then comma, then sample standard deviation in decimal form to nearest hundredth. Examples of correctly entered answers:  

13.27,2.31

0.27,0.06

-10.30,0.79

(vii) Calculate sample mean and sample standard deviation for Plant 4 sample

Enter sample mean in decimal form to nearest hundredth, then comma, then sample standard deviation in decimal form to nearest hundredth. Examples of correctly entered answers:  

13.27,2.31

0.27,0.06

-10.30,0.79

(viii) Calculate sample mean and sample standard deviation for Plant 5 sample

Enter sample mean in decimal form to nearest hundredth, then comma, then sample standard deviation in decimal form to nearest hundredth. Examples of correctly entered answers:  

13.27,2.31

0.27,0.06

-10.30,0.79

(ix) Using technology, determine F ratio test statistic and corresponding p-value.

Use "CTRL-click" to access link. Enter test statistic to nearest hundredth, then enter comma, then enter p-value to nearest thousandth. Examples of correctly entered responses:

12.33,0.004   

7.50,0.000

6.77,0.504

  (x) Comparing p-value and ? value, which is the correct decision to make for this hypothesis test?  

A. Reject H_o

B. Fail to reject H_o

C. Accept H_o

D. Accept H_A

0. Although Western countries typically have low HIV prevalence rates (e.g., about 0.2% of the Australian population has HIV), clinics offering free HIV testing usually attract at-risk groups among whom the prevalence rate is much higher. Managers of such a clinic believe that 12% of their patients have HIV. The clinic uses a diagnostic test which returns a positive result in 98% of cases where the patient actually has HIV. Among patients without HIV, 96% of test results are negative. The following questions concern diagnostic outcomes at this clinic.

   1. Use a contingency table to structure the above information about diagnostic outcomes at this clinic. Complete all marginal totals as well as the body of the table.

   2. What proportion of patients diagnosed as having HIV actually have it?

   3. A randomly-selected patient has received a negative diagnosis. What is the chance that this patient does not have HIV?

   4. Among patients attending this clinic, what does the diagnostic test do better: show who has HIV, or show who doesn’t have it? Justify your answer.

A radioactive waste from a clinical laboratory contains 0.2 μCi (microcuries) of calcium-45 (45Ca) per litre. The reaction rate constant is 0.005/day. The radioactive calcium waste is treated in a pipe that is 200 m until it reaches below the maximum acceptable radioactivity of 0.01 μCi/L. Assume the pipe approximates a plug flow reactor

(d) Radioactive waste can be stored in a number of ways with two of the most common being deep well injection and above-ground storage (as per the example above). For deep well injection the radioactive waste is pumped hundreds or even thousands of metres below the surface of the Earth. Whereas, above-ground storage is often in buildings in isolated areas that are then guarded to prevent people from accessing the radioactive waste contained within.

What would be the advantages and disadvantages associated with each of these two methods of storing radioactive waste? Which of the two methods do you believe is superior for storing radioactive waste (explain why as part of your answer)?

A 0.2 m^3 piston/cylinder contains air at 400 K and 400 kPa and receives heat from a constant temperature heat source at 1300 K. The piston expands at constant pressure to a volume of 0.6 m^3. Determine the change of availability of the system. Assume To= 300K and Po = 100kPa.

Answer should be 210.3 kJ.

Chemical engineering question

A synthesis gas containing 6.4% CO₂, 0.2% O₂, 40.0% CO and 50.8% H₂ (the remainder is N₂) is burned with 40 % excess dry air (assume 21 % O₂ and 79 % N₂).

i)Identify the reactions occurring during combustion of this syngas.

ii)Calculate the amount of air added per 100 mol of syngas.

iii)If complete combustion occurs, then calculate the composition of the flue gas on a weight basis.

Hot water from a boiler of power plant are discharged through a 0.2-m-diameter, thin-walled pipe with a velocity of 3.5 m/s. The pipe passes through a room whose air temperature is 3°C and the exterior surface of the pipe is uninsulated and pipe length is 30 m.  

(a) At a position in the pipe where the mean water temperature is 40°C, determine the heat loss and the pipe wall temperature.

(b) If the pipe is covered with a 20-mm-thick layer of insulation (k = 0.5 W/m K) what are the pipe wall temperature, the outer surface temperature, and the heat loss?