EMT-ANSWERS-12MCQs

1. An infant or child with respiratory distress will attempt to keep his or her alveoli expanded at the end of inhalation by:

Choose one answer. 

a. wheezing. 

b. retracting the intercostal muscles. 

c. assuming a tripod position. 

d. grunting. 

2. Infection should be considered as a possible cause of an airway obstruction in an infant or child, especially if he or she presents with:

Choose one answer. 

a. skin that is cool and dry. 

b. drooling or congestion. 

c. severe restlessness. 

d. acute respiratory distress. 

3.When immobilizing an injured child in a pediatric immobilization device, you should:

Choose one answer. 

a. secure the torso before the head. 

b. secure the head before the torso. 

c. pad underneath the child's head. 

d. slide the device under the child. 

4. A 6-year-old male presents with acute respiratory distress. His mother states that she saw him put a small toy into his mouth shortly before the episode began. The child is conscious, obviously frightened, and is coughing forcefully. You should:

Choose one answer. 

a. encourage him to cough, give oxygen as tolerated, and transport. 

b. deliver a series of five back blows and then reassess his condition. 

c. place the child in a supine position and perform abdominal thrusts. 

d. carefully look into his mouth and remove the object if you see it. 

5 The MOST ominous sign of impending cardiopulmonary arrest in infants and children is:

Choose one answer. 

a. retractions. 

b. nasal flaring. 

c. pallor. 

d. bradycardia. 

6 Vascular causes of syncope include all of the following, EXCEPT:

Choose one answer. 

a. acute hypotension. 

b. blood volume loss. 

c. venous pooling. 

d. vasoconstriction. 

7Which of the following statements regarding suicide in the elderly is MOST correct?

Choose one answer. 

a. Older females have a higher rate of suicide than any other group. 

b. Elderly patients tend to use more lethal means than younger patients. 

c. Most suicidal patients readily seek care and do not deny the problem. 

d. Depression and hopeless feelings are often not predisposing factors. 

8. Leading causes of death in the elderly include all of the following, EXCEPT:

Choose one answer. 

a. senile dementia. 

b. trauma. 

c. pulmonary disease. 

d. diabetes. 

9 With age, the spine stiffens as a result of shrinkage of the intervertebral disc spaces, and the vertebrae become brittle. This increases the risk of:

Choose one answer. 

a. severe kyphosis. 

b. compression fractures. 

c. distracting injuries. 

d. spinal cord tearing. 

10 Hip fractures in the elderly commonly involve injury to all of the following structures, EXCEPT the:

Choose one answer. 

a. acetabulum. 

b. proximal femur. 

c. femoral neck. 

d. femoral head. 

11 Patients who have experienced even minor-appearing head injuries should be suspected of having a brain injury, especially if they:

Choose one answer. 

a. do not have deformities to the skull. 

b. are taking blood-thinning medications. 

c. have minor abrasions to the head area. 

d. have a history of Alzheimer's disease. 

12 When determining whether to perform a focused physical exam or a rapid trauma assessment on an injured elderly patient, you should:

Choose one answer. 

a. focus your assessment just on the area(s) of pain or obvious injury. 

b. recall that it will take less of an MOI to cause significant injuries. 

c. perform a detailed physical exam prior to initiating any treatment. 

d. routinely perform a focused exam to minimize time at the scene

ANSWERS 20 MATH MCQ's

Question 1

The heights (in feet) of a sample of five randomly chosen students from School x are 6.3, 6.1, 5.7, 5.8, and 6.2.  Determine a 90% confidence interval for the mean height of all students at School x. 

Note: In the answers below, "sqrt" denotes the square root.

a. 6.02 ± 1.645*[.259/sqrt(5)] 

b. 6.02 ± 2.015*[.259/sqrt(5)] 

c. 6.02 ± 2.132*[.259/sqrt(5)] 

d. 6.02 ± 1.28*[.259/sqrt(5)] 

e. 6.02 ± 2.132*[.259/sqrt(4)]

Question 2 .     

Refer to question 1.  What is a?

a. 0

b. .05

c. .1

d. .5

e. .9

Question 3 .     

To determine how many hours per week freshmen college students watch television, a random sample of 225 students was selected.  It was determined that the students in the sample spent an average of 35 hours watching TV per week.  The population standard deviation is known to be 12 hours.  Provide a 95% confidence interval estimate for the average number of hours that all college freshmen spend watching TV per week.

a. 35 ± 1.645*[12/sqrt(225)] 

b. 35 ± 1.96*[12/sqrt(225)] 

c. 35 ± 1.645*[3.46/sqrt(225)] 

d.35 ± 1.96*[12/sqrt(224)]

Question 4 .     

Refer to question 3.  Compute the population standard deviation.

a. 35

b. 12

c. .8

d. .053

Question 5 .     

A supermarket wants to test whether the mean weight of the cans of peas sold by a particular maker equals 24 oz.  It chooses a random sample of 16 cans and finds that the sample mean is 23.3 oz and the sample standard deviation is .4 oz.  Your job is to test, at the 5% level of significance, whether or not the mean weight equals 24 oz.

What are the null and alternative hypotheses?

a. Ho: μ = 24, Ha: μ ≠ 24 

b. Ho: μ ≤ 24, Ha: μ > 24 

c. Ho: μ ≥ 24, Ha: μ 40 

d. Ho: μ ≥ 40, Ha: μ < 40 

e. Ho: μ = 43, Ha: μ ≠ 43

Question 6 .     

Refer to question 5.  What is a?

a. .95

b. .025

c. .05

d. .10

Question 7 .     

Refer to question 5.  What is (are) your critical value(s)?  Remember, the critical value(s) define your rejection region.

a. 1.96 

b. ± 1.96 

c. ± 1.645 

d. ± 2.120

e. ± 2.131

Question 8 .     

Refer to question 5.  What is the value of your test statistic?

a. 7.00

b. -7.00 

c. -1.75

d. 0

e. None of these responses

Question 9 .     

Refer to question 5.  What is your conclusion?

a. Reject the null hypothesis at the 5% level 

b. Fail to reject the null hypothesis at the 5% level 

c. Reject the null hypothesis at the 2.5% level

d. Fail to reject the null hypothesis at the 2.5% level 

e. None of these responses

Question 10 .     

In order to determine the average price of hotel rooms in Small Town, U.S.A., a sample of 64 hotels was selected.  It was determined that the average price of the rooms in the sample was $43.   The population standard deviation is known to be $10.  Your job is to use a 5% level of significance and determine whether or not the average room price is significantly different from $40 using the p-value approach.

What are your null and alternative hypotheses? 

a. Ho: μ = 40, Ha: μ ≠ 40 

b. Ho: μ ≤ 40, Ha: μ > 40 

c. Ho: μ ≥ 40, Ha: μ < 40 

d. Ho: μ = 43, Ha: μ ≠ 43

Question 11 .     

Refer to question 10.  Compute the test statistic. 

a. 43

b. -2.4

c. 2.4

d. .3

Question 12 .     

Refer to question 10.  Compute the p-value. 

a. .05 

b. .025 

c. .0082 

d. .4918 

e. Need a computer to determine the p-value here

Question 13 .     

Refer to question 10.  The rejection region(s) is (are)

a. Located in the upper 5% of the sampling distribution of x-bar.

b. Located in the lower 5% of the sampling distribution of x-bar.

c. Split evenly on each side of the sampling distribution of x-bar so that there is one rejection region in the lower 2.5% of the sampling distribution of x-bar and another in the upper 2.5% of the sampling distribution of x-bar.

d. Split evenly on each side of the sampling distribution of x-bar so that there is one rejection region in the lower 5% of the sampling distribution of x-bar and another in the upper 5% of the sampling distribution of x-bar.

Question 14 .     

Refer to question 10.  What is a?

a. .025

b. .05

c. .075

d. .95

Question 15 .     

Refer to question 10.  What is your conclusion?

a. Reject the null hypothesis at the 5% level 

b. Fail to reject the null hypothesis at the 5% level 

c. Reject the null hypothesis at the 2.5% level 

d. Fail to reject the null hypothesis at the 2.5% level 

e. Reject the null hypothesis at the 95% level

Question 16 .     

The two-tailed p-value (“p”) is defined as the upper tail probability associated with a positive test statistic or the lower tail probability associated with a negative test statistic.  When using the p-value approach to perform two-tailed tests, this p is sometimes doubled, and compared directly to α. 

a. True

b. False

c. This is not a possible response.

d. This is not a possible response.

  

Question 17 .     

When s is used to estimate s, the margin of error is computed by using the

a. normal distribution

b. Student's t distribution

c. the mean of the sample

d. the mean of the population

Question 18 .     

For the interval estimation of m when s is known and the sample is large, the proper distribution to use is

a. the normal distribution

b. the t distribution with n degrees of freedom

c. the t distribution with n + 1 degrees of freedom

d. the t distribution with n + 2 degrees of freedom

Question 19 .     

An assumption made about the value of a population parameter is called a

a. hypothesis

b. conclusion

c. confidence

d. significance

Question 20 .     

In order to determine an interval estimate for the mean of a population with unknown standard deviation a sample of 61 items is selected. The mean of the sample is determined to be 23. The number of degrees of freedom for reading the t value is

a. 22

b. 23

c. 60

d. 61

CORRECT-ANSWERS-WITH-EXPLANATION

1. (TCO 11) A pizza restaurant manager claims that the average home delivery time for their pizza is no more than 18 minutes. A random sample of 36 home delivery pizzas was collected. The sample mean was found to be 19.25 minutes and the standard deviation was found to be 3.3 minutes. Is there evidence to reject the manager’s claim at alpha =.02? Perform an appropriate hypothesis test, showing the necessary calculations and/or explaining the process used to obtain the results 

2. (TCO 5) At a jewelry store, the probability for a customer to make a purchase when entering the store is 35%. We asked 25 customers enter the store whether they made a purchase or not.

(a) Is this a binomial experiment? Explain how you know.

(b) Use the correct formula to find the probability that, out of 25 customers, exactly 10 of them make a purchase. Show your calculations or explain how you found the probability

3. The monthly utility bills are normally distributed with a mean value of $130 and a standard deviation of $15. 

(a) Find the probability of having a utility bill between 100 and 150.

(b) Find the probability of having a utility bill less than $90.

(c) Find the probability of having a utility bill more than $160.

4. A company’s CEO wanted to estimate the percentage of defective product per shipment. In a sample containing 600 products, he found 45 defective products. 

(a) Find a 99% confidence interval for the true proportion of defective product. Show your calculations and/or explain the process used to obtain the interval.

(b) Interpret this confidence interval and write a sentence that explains it.

5. (TCO 2) The ages of 10 students are listed in years:{ 17,20,18,24,21,26,29,18,22,28}

(a) Find the mean, median, mode, sample variance, and range.

(b) Do you think that this sample might have come from a normal population? Why or why not?

SOLUTION A national trade association is concerned with increasing competition from foreign companies

2. (TCO E and F) A national trade association is concerned with increasing competition from foreign companies. They decide, in close consultation with their membership, to evaluate the sales performance of 25 randomly selected U.S. companies, so that all companies can benefit from their collective experience. 

The association’s research director, with substantial input from member companies’ sales managers, has decided to measure the Sales, y, of each company by using the yearly sales of the same product for all of the companies. 

The research director and the sales managers believe that sales performance, y (measured in hundreds of units), substantially depends on three independent variables: 

x1 = number of months the company has been selling the product (Time with Product) 

x2 = sales of the product and all competing products in the company (Market Potential, measured in hundreds of units) 

x3 = dollar advertising expenditures in the company (Advertising, in hundreds of dollars) 

Refer to the Minitab output below to answer questions A through G. 

Multiple Regression and Model Building: Minitab Output 

Coefficients 

Term Coef SE Coef T P 95% CI 

Constant 787.217 462.766 1.70111 0.104 (-175.158, 1749.59) 

Time with Product, x1 5.251 2.072 2.53464 0.019 (0.943, 9.56) 

Market Potential, x2 0.030 0.011 2.69180 0.014 (0.007, 0.05) 

Advertising, x3 0.218 0.060 3.60435 0.002 (0.092, 0.34) 

Summary of Model 

S = 769.944 R-Sq = 69.91% R-Sq(adj) = 65.62% 

PRESS = 18030073 R-Sq(pred) = 56.43% 

Analysis of Variance 

Source DF Seq SS Adj SS Adj MS F P 

Regression 3 28930450 28930450 9643483 16.2673 0.0000107 

Time with Product, x1 1 16056475 3808479 3808479 6.4244 0.0192765 

Market Potential, x2 1 5172530 4295406 4295406 7.2458 0.0136558 

Advertising, x3 

1 7701445 7701445 7701445 12.9913 0.0016663 

Error 21 12449099 12449099 592814 

Total 24 41379549 

Predicted Values for New Observations 

New Obs Fit SE Fit 95% CI 95% PI 

1 3889.25 240.686 (3388.71, 4389.78) (2211.65, 5566.85) 

Values and Predictors for New Observations 

New Obs Time with Product, x1 Market Potential, x2 Advertising, x3 

1 85.42 35182.7 7281.65 

Analyze the above output to determine the multiple regression equation. (5 points) 

What conclusions are possible using the result of the global usefulness test (the F test and its associated p-value)? (5 points) 

What conclusions are possible using the results of the t-tests of the independent variables (alpha = 0.05). Does this data provide significant evidence that Sales are associated with Time With Product and/or Market Potential and/or Advertising? Find the p-values and interpret. Interpret the 95% confidence interval of each of the regression coefficients, using the units of the variables. (20 points) 

Find and interpret the 95% Prediction interval for Sales, when Time with Product = 85.42, Market Potential = 35182.7, and Advertising = 7281.65. (10 points)

SOLUTION ABC School performed a survey on high school students to determine whether watching more educational programming earned a higher GPA.

(TCO E and F) ABC School performed a survey on high school students to determine whether watching more educational programming earned a higher GPA. The analysis revealed the following:

Refer to the Minitab output below to answer questions A through G.

Regression Equation

GPA = 2.24987 + 0.0845116 Edu Prog Hours (per week of TV)

Coefficients

Term Coef SE Coef T P 95% CI Constant

Constant 2.24987 0.231364 9.72439 0.000 (1.70278, 2.79696)

Edu Prog 0.08451 0.019370 4.36297 0.003 (0.03871, 0.13031)

Summary of Model

S= 0.254693 R-Sq = 73.11% R-Sq (adj) = 69.27%

PRESS = 1.10075 R-Sq (pred) = 34.82%

Analysis of Variance

Source DF Seq SS Adj SS Adj MS F

Regression 1 1.23481 1.23481 1.23481 19.0355

Edu Prog Hours (per wk of TV) 1 1.23481 1.23481 1.23481 19.0355

Error 7 0.45408 0.45408 0.06487

Total 8 1.68889

Source P

Regression 0.0033022

Edu Prog Hrs (per wk of TV) 0.0033022

Error

Total

Predicted Values for New Observations

New Obs Fit SE Fit 95% CI 95% PI

1 3.09499 0.0875834 (2.88789, 3.30209) (2.45812, 3.73186)

Values of Predictors for New Observations

New Obs Edu Prog Hours (per week of TV)

1 10

(A) Analyze the above output to determine the regression equation.

(B) What conclusions are possible using the meaning of b0 (intercept) and b1 (regression coefficient) in this problem? (That is, explain the meaning of the coefficients.)

(C) What conclusions are possible using the coefficient of determination (r-squared)?

(D) Calculate the coefficient of correlation. Interpret this value.

(E) Does this data provide significant evidence (a=0.05) that the student GPA is related to the number of educational programming watched on TV? Find the p-value and interpret.

(F) Predict the average GPA for watching 10 hours of educational programming on TV.

(G) What is the 95% confidence interval for average GPA for watching 10 hours of educational programming on TV? What conclusion is possible using this interval?

TCO-CORRECT-ANSWERS-WITH-CALCULATIONS

(TCO G) The Chadmark Corporation's budgeted monthly sales are $3,000. In the first month, 40% of its customers pay and take the 2% discount.

The remaining 60% pay in the month following the sale and don't receive a discount. 

Chadmark's bad debts are very small and are excluded from this analysis. Purchases for next month's sales are constant each month at $1,500.

Other payments for wages, rent, and taxes are constant at $700 per month. Construct a single month's cash budget with the information given.

What is the average cash gain or (loss) during a typical month for the Chadmark Corporation?

(TCO B) Zhdanov Inc. forecasts that its free cash flow in the coming year, that is, at t = 1, will be -$10 million, but its FCF at t = 2 will be $20 million. After Year 2, FCF is expected to grow at a constant rate of 4% forever. If the weighted average cost of capital is 14%, what is the firm's value of operations, in millions? 

a. $158

b. $167

c. $175

d. $184

e. $193

(TCO G) Chua Chang & Wu Inc. is planning its operations for next year, and the CEO wants you to forecast the firm's additional funds needed (AFN). The firm is operating at full capacity. Data for use in your forecast are shown below. Based on the AFN equation, what is the AFN for the coming year?

Last year's sales = S0 $200.000 Last year's accounts payable $50,000

Sales growth rate = g 40% Last year's notes payable $15,000

Last year's total assets = A0* $135,000 Last year's accruals $20,000

Last year's profit margin = PM 20% Target payout ratio 25%

a. -$14,440

b. -$15,200

c. -$16,000

d. -$16,800

e. -$17,640

ANSWERS-Hatami Company-E Leasing

Q.1:The following information relates to Hatami Company's defined benefit pension plan during the current reporting year:

1.)Plan assets at fair value, Jan 1: 600,000,000 

2.)Expected return on plan assets: 50,000,000 

3.)Actual return on plan assets 40,000,000 

4.) Contributions to the pension fund (end of year) 90,000,000 

5.) Amoritization of net loss: 0 

6.)Pension benefits paid (end of year): 32,000.000 

7.) Pension Expense: 60,000,000

Required: 

Determine the balance of pension plan assets at fair value on December 31. (Points: 25)

Q2: Lessor accounting-direct-financing lease.

E Leasing purchased a machine for $500,000 and leased it to IGA, Inc. on January 1, 2011.

Lease Description:

1. Quarterly rental payments: 32,629- Begining of each period

2. Lease term: 5 years (20 quarters)

3. No residual value: no BBP

4. Economic Life of machine 5 years

5. Implicit interest rate and lessee's incremental borrowing rate 12%

6. Fair Valu of Asset: $500,000

Collectability of the rental payments is reasonably assured, and there are no lessor costs yet to be incurred.

Required: 

Prepare appropriate entries for both IGA and E Leasing from the inception of the lease through the second rental payment on April 1, 2011. Depreciation is recorded at the end of each fiscal year (December 31). (Points: 20)

A+:CORRECT ANSWERS

1. (TCO 9) A project will require an initial investment of $750,000 and will return $200,000 each year for five years. If taxes are ignored and the required rate of return is 9%, what is the 

project's net present value? Based on this analysis, should the company proceed with the 

project? (Points : 25) 

2. (TCO 4) Legal Docs Inc is a legal services firm that files incorporation papers for small businesses. They charge $1,000 per application. This year's income statement shows the following: 

Sales $1,295,000

Variable Expenses $1,023,000

Contribution margin $272,000

Fixed costs $250,000

Profit $22,000

Required:

(a) Compute the break-even point in units.

(b) Compute the contribution margin ratio.

(c) Compute the current margin of safety.

(d) How many applications must the company sell to make a profit of $350,000? (Points : 25) 

3. (TCO 5) The following data has been taken from Air-Tite company in its first year of business. 

Units produced 100,000

Units sold 80,000

Units in ending inventory 20,000

Fixed manufacturing overhead $400,000

(a) Compute the amount of fixed manufacturing overhead that would be expensed in the current year if full absorption costing is used.

(b) Compute the amount of fixed manufacturing overhead that would be expensed in the current year if variable costing is used.

(c) Compute the amount of fixed manufacturing overhead that would be included in ending inventory under full absorption costing. (Points : 25) 

4. (TCO 1) Distinguish between product costs and period costs. Define both types of costs and provide examples. (Points : 20) 

5. (TCO 6) Pacific Airlines has three service departments; ticketing, baggage handling, and aircraft maintenance. Costs of these departments are allocated to two revenue producing departments, domestic and international flights. Costs for the service departments are not separated into fixed and variable and the totals are as follows:

Ticketing $4,000,000

Baggage handling $2,000,000

Aircraft maintenance $6,000,000

Air miles are as follows: 

Domestic 10,000,000

International 30,000,000

(a) Allocate the service department costs based on air miles.

(b) Evaluate World Airlines use of air miles as a basis for allocation. Do you think the cause-and-effect relationship is strong? 

(c) Suggest alternative methods to allocate the service department costs. (Points : 25) 

6. (TCO 10) Joanie Corp sells it products on both credit and cash basis. Monthly sales are sold 10% for cash, 90% for credit. Credit sales are collected 40% in the month of sale and 60% the following month. Sales for the first quarter are as follows:

January $100,000

February $150,000

March $125,000

Compute cash collections for February. (Points : 25) 

7. (TCO 2) Acme Fireworks uses a traditional overhead allocation based on direct labor hours. For the current year overhead is estimated at $1,000,000 and direct labor hours are budgeted at 200,000 hours. Actual hours worked were 195,000 and actual overhead was $978,000. 

(a) Compute the predetermined manufacturing overhead rate.

(b) Compute the applied manufacturing overhead.

(c) Compute the amount of over/under applied manufacturing overhead. (Points : 25)