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UCF QMB 3200 EXAM ACTUAL, FINAL & MIDTERM EXAM QUESTION BANK COMPLETE 400 QUESTIONS AND CORRECT SOLUTIONS LATEST UPDATE THIS YEAR $24.99   Add to cart

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UCF QMB 3200 EXAM ACTUAL, FINAL & MIDTERM EXAM QUESTION BANK COMPLETE 400 QUESTIONS AND CORRECT SOLUTIONS LATEST UPDATE THIS YEAR

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UCF QMB 3200 FINAL EXAM ACTUAL, FINAL & MIDTERM EXAM QUESTION BANK COMPLETE 400 QUESTIONS AND CORRECT SOLUTIONS LATEST UPDATE THIS YEAR

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  • October 24, 2024
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  • UCF QMB 3200
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UCF QMB 3200 FINAL EXAM ACTUAL, FINAL &
MIDTERM EXAM QUESTION BANK COMPLETE 400
QUESTIONS AND CORRECT SOLUTIONS LATEST
UPDATE THIS YEAR


✓ QMB 3200 actual exam
✓ UCF QMB 3200 Final Exam
✓ UCF QMB 3200 Midterm
✓ UCF QMB 3200 study guide




UCF QMB 3200 -actual exam

QUESTION: A population has a mean of 180 and a standard deviation of 24. A sample of 64
observations will be taken. The probability that the mean from that sample will be between 183
and 186 is




a. 0.8185

b. 0.1359

c. 0.4772

d. 0.3413 - ANSWER-b. 0.1359

1. st. error: 24/sqrt(64) = 3

2. z value (upper): (186-180)/3 = 2

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3. Norm.s.dist(1, true) = .9772

4. z value (lower): (183-180)/3= 1

5.Norm.s.dist(-1,true)= .8413

6. 0.9772-.8413=0.1359




QUESTION: The basis for using a normal probability distribution to approximate the sampling
distribution of xbar and pbar is:

a. the empirical rule

b. the central limit theorem

c. Chebyshev's theorem

d. Bayes' theorem - ANSWER-b. the central limit theorem




QUESTION: A finite population correction factor is needed in computing the standard deviation
of the sampling distribution of sample means:

a. whenever the sample size is less than 5% of the population size

b. whenever the population is infinite

c. whenever the sample size is more than 5% of the population size

d. The correction factor is not necessary if the population has a normal distribution - ANSWER-
c. whenever the sample size is more than 5% of the population size




2

,Page 3 of 116


QUESTION: A sample of 66 observations will be taken from a process (an infinite population).
The population proportion equals 0.12. The probability that the sample proportion will be less
than 0.1768 is




a. 0.4222

b. 0.0778

c. 0.9222

d. 0.0568 - ANSWER-c. 0.9222

1. Mean of the sample proportions = 0.12

2. St. dev. of pbar = sqrt [ p(1-p) / n] = sqrt [ (0.12)(1-.12) / 66] = .04

μ = 0.12

σ = 0.04

3. standardize x to z = (x - μ) / σ = (0.1768-0.12) / 0.04 = 1.42

4. norm.s.dist(1.42,true) = 0.9222




QUESTION: A population has a mean of 53 and a standard deviation of 21. A sample of 49
observations will be taken. The probability that the sample mean will be greater than 57.95 is




a. 0

b. .0495


3

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c. .4505

d. None of the alternative answers is correct. - ANSWER-b. .0495

1. 21/sqrt(49)=3

2. 57.93-53=4.95

3. 4.95/3 = 1.65

4.norm.s.dist(1.65,true) = .9505

5. 1-.9505= .0495

In computing the standard error of the mean, the finite population correction factor is not used
when:

a. n ≥ 30

b. n/N ≤ 0.05

c. N/n ≤ 0.05

d. n/N > 0.05 - ANSWER-b. n/N ≤ 0.05




QUESTION: A sample statistic, such as x bar , that estimates the value of the corresponding
population parameter is known as a:

a. population parameter

b. point estimator

c. Both a parameter and a population parameter are correct.

d. parameter - ANSWER-b. point estimator

4

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