Operations Management Test Preparation
Course Introduction
Operations Management focuses on the design, operation, and improvement of the systems that create and deliver a firm's primary products and services. This course introduces students to key concepts such as process analysis, quality management, supply chain management, inventory control, and production planning. Emphasizing both strategic and tactical decision-making, the course explores how efficient operations contribute to organizational productivity, competitive advantage, and customer satisfaction. Through case studies, real-world examples, and analytical tools, students will gain practical insights into optimizing resources, managing workflows, and solving operational challenges in diverse industries.
Recommended Textbook
Modern Business Statistics with Microsoft Excel 5th Edition by David R. Anderson
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21 Chapters
2226 Verified Questions
2226 Flashcards
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Chapter 1: Data and Statistics
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85 Verified Questions
85 Flashcards
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Sample Questions
Q1) Which of the following is not an example of descriptive statistics?
A)a histogram depicting the age distribution for 30 randomly selected students
B)an estimate of the number of Alaska residents who have visited Canada
C)a table summarizing the data collected in a sample of new-car buyers
D)the proportion of mailed-out questionnaires that were returned
Answer: B
Q2) The summaries of data, which may be tabular, graphical, or numerical, are referred to as
A)inferential statistics
B)descriptive statistics
C)statistical inference
D)report generation
Answer: B
Q3) Refer to Exhibit 1-1. The manager's statement that 60% of Daisy City's 3,000 homes are in violation of city codes is
A)an exactly correct statement
B)only an approximation, since it is based upon sample information
C)obviously wrong, since it is based upon a study of only 200 homes
D)None of the other answers are correct.
Answer: B
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Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
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Sample Questions
Q1) Which of the following is least useful in studying the relationship between two variables?
A)trendline
B)stem-and-leaf display
C)crosstabulation
D)scatter diagram
Answer: B
Q2) A tabular summary of a set of data showing the fraction of the total number of items in several nonoverlapping classes is a
A)frequency distribution.
B)relative frequency distribution.
C)frequency.
D)cumulative frequency distribution.
Answer: B
Q3) A common graphical display of quantitative data is a
A)histogram
B)bar chart
C)relative frequency
D)pie chart
Answer: A
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Chapter 3: Descriptive Statistics: Numerical Measures
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Sample Questions
Q1) In a five-number summary, which of the following is not used for data summarization?
A)the smallest value
B)the largest value
C)the median
D)the mean
Answer: D
Q2) In computing the p<sup>th</sup> percentile, if the index i is an integer the p<sup>th</sup> percentile is the
A)data value in position i
B)data value in position i + 1
C)average of data values in position i and i + 1
D)average of data values in position i - 1 and i + 1
Answer: A
Q3) When the data are positively skewed, the mean will usually be
A)less than the median
B)greater than the median
C)less than the mode
D)greater than the mode
Answer: B
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Chapter 4: Introduction to Probability
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Sample Questions
Q1) A market study taken at a local sporting goods store showed that of 20 people questioned, 6 owned tents, 10 owned sleeping bags, 8 owned camping stoves, 4 owned both tents and camping stoves, and 4 owned both sleeping bags and camping stoves.
Let Event A = owns a tent, Event B = owns a sleeping bag, Event C = owns a camping stove, and Sample Space = 20 people questioned.
a. Find P(A), P(B), P(C), P(A C), P(B C).
b. Are the events A and C mutually exclusive? Explain briefly.
c. Are the events B and C independent events? Explain briefly.
d. If a person questioned owns a tent, what is the probability he also owns a camping stove?
e. If two people questioned own a tent, a sleeping bag, and a camping stove, how many own only a camping stove?
f. Is it possible for 3 people to own both a tent and a sleeping bag, but not a camping stove?
Q2) The probability of an intersection of two events is computed using the A)addition law
B)subtraction law
C)multiplication law
D)division law
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Chapter 5: Discrete Probability Distributions
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150 Flashcards
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Sample Questions
Q1) Compute the hypergeometric probabilities for the following values of n and x. Assume N = 8 and r = 5.
a.n = 5, x = 2
b.n = 6, x = 4
c.n = 3, x = 0
d.n = 3, x = 3
Q2) A continuous random variable may assume A)any value in an interval or collection of intervals
B)only integer values in an interval or collection of intervals
C)only fractional values in an interval or collection of intervals
D)only the positive integer values in an interval
Q3) The variance is a weighted average of the
A)square root of the deviations from the mean
B)square root of the deviations from the median
C)squared deviations from the median
D)squared deviations from the mean
Q4) Thirty-two percent of the students in a management class are graduate students. A random sample of 5 students is selected. Using the binomial probability function, determine the probability that the sample contains exactly 2 graduate students?
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Chapter 6: Continuous Probability Distributions
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Sample Questions
Q1) The weights of items produced by a company are normally distributed with a mean of 4.5 ounces and a standard deviation of 0.3 ounces.
a.What is the probability that a randomly selected item from the production will weigh at least 4.14 ounces?
b.What percentage of the items weighs between 4.8 and 5.04 ounces?
c.Determine the minimum weight of the heaviest 5% of all items produced.
d.If 27,875 of the items of the entire production weigh at least 5.01 ounces, how many items have been produced?
Q2) Given that z is a standard normal random variable, what is the value of z if the area to the left of z is 0.9382?
A)1.8
B)1.54
C)2.1
D)1.77
Q3) A property of the exponential distribution is that the mean equals the A)mode
B)median
C)variance
D)standard deviation
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Page 8
Chapter 7: Sampling and Sampling Distributions
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Sample Questions
Q1) The price of a particular brand of jeans has a mean of $37.99 and a standard deviation of $7. A sample of 49 pairs of jeans is selected. Use Excel to answer the following questions.
a.What is the probability that the sample of jeans will have a mean price less than $40?
b.What is the probability that the sample of jeans will have a mean price between $38 and $39?
c.What is the probability that the sample of jeans will have a mean price within $3 of the population mean?
Q2) Cluster sampling is
A)a nonprobability sampling method
B)the same as convenience sampling
C)a probability sampling method
D)None of the alternative answers is correct.
Q3) Excel's RAND function
A)determines sample size
B)selects a simple random sample
C)randomizes a population
D)generates random numbers
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Chapter 8: Interval Estimation
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Sample Questions
Q1) In order to determine the average weight of carry-on luggage by passengers in airplanes, a sample of 36 pieces of carry-on luggage was weighed. The average weight was 20 pounds. Assume that we know the standard deviation of the population to be 8 pounds.
a.Determine a 97% confidence interval estimate for the mean weight of the carry-on luggage.
b.Determine a 95% confidence interval estimate for the mean weight of the carry-on luggage.
Q2) The expression used to compute an interval estimate of \(\mu\) may depend on any of the following factors except
A)the sample size
B)whether the population standard deviation is known
C)whether the population has an approximately normal distribution
D)whether there is sampling error
Q3) As the degrees of freedom increase, the t distribution approaches the A)uniform distribution
B)normal distribution
C)exponential distribution
D)p distribution
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Chapter 9: Hypothesis Tests
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Sample Questions
Q1) Refer to Exhibit 9-6. The p-value is
A)0.2112
B)0.05
C)0.025
D)0.0156
Q2) Read the t statistic from the table of t distributions and circle the correct answer. A two-tailed test, a sample of 20 at a .20 level of significance; t =
A)1.328
B)2.539
C)1.325
D)2.528
Q3) If a hypothesis is rejected at a 5% level of significance, it
A)will always be rejected at the 1% level
B)will always be accepted at the 1% level
C)will never be tested at the 1% level
D)may be rejected or not rejected at the 1% level
Q4) In a television commercial, the manufacturer of a toothpaste claims that at least 4 out of 5 dentists recommend its product. A consumer-protection group wants to test that claim. Identify the hypotheses.
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Chapter 10: Inference About Means and Proportions With
Two Populations
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127 Verified Questions
127 Flashcards
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Sample Questions
Q1) Among a sample of 50 M.D.'s (medical doctors) in the city of Memphis, Tennessee, 10 indicated they make house calls; while among a sample of 100 M.D.'s in Atlanta, Georgia, 18 said they make house calls. Determine a 95% interval estimate for the difference between the proportion of doctors who make house calls in the two cities.
Q2) Refer to Exhibit 10-8. A point estimate for the difference between the two sample means is
A)20
B)0.50
C)0.25
D)1.00
Q3) Refer to Exhibit 10-9. At 90% confidence the null hypothesis
A)should not be rejected
B)should be rejected
C)should be revised
D)None of these alternatives is correct.
Q4) In a random sample of 200 Republicans, 160 opposed the new tax laws. While in a sample of 120 Democrats, 84 opposed the new tax laws. Determine a 95% confidence interval estimate for the difference between the proportions of Republicans and Democrats opposed to this new law.
Page 12
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Chapter 11: Inferences About Population Variances
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Sample Questions
Q1) An egg packing company has stated that the standard deviation of the weights of their grade A large eggs is 0.07 ounces or less. The sample variance for 51 eggs was 0.0065 ounces. Can this sample result confirm the company's claim? Use \(\alpha\) = 0.1.
Q2) The critical value of F at 95% confidence when there is a sample size of 21 for the sample with the smaller variance, and there is a sample size of 9 for the sample with the larger sample variance is
A)2.45
B)2.94
C)2.37
D)2.10
Q3) Refer to Exhibit 11-9. The null hypothesis
A)should be rejected
B)should not be rejected
C)should be revised
D)None of these alternatives is correct.
Q4) A sample of 16 students showed that the variance in the number of hours they spend studying is 25. At a 5% level of significance, test to see if the variance of the population is significantly different from 30.
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Chapter 12: Tests of Goodness of Fit, Independence and Multiple Proportions
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76 Flashcards
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Sample Questions
Q1) Refer to Exhibit 12-6. The number of degrees of freedom associated with this problem is
A)2
B)3
C)300
D)299
Q2) Refer to Exhibit 12-2. The expected number of freshmen is
A)83
B)90
C)30
D)10
Q3) Refer to Exhibit 12-1. The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals
A)7.37776
B)7.81473
C)5.99147
D)9.34840
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Chapter 13: Experimental Design and Analysis of Variance
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125 Flashcards
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Sample Questions
Q1) In an analysis of variance problem involving 3 treatments and 10 observations per treatment, SSE = 399.6. The MSE for this situation is
A)133.2
B)13.32
C)14.8
D)30.0
Q2) Refer to Exhibit 13-7. The number of degrees of freedom corresponding to within treatments is
A)12
B)2 C)3 D)15
Q3) Refer to Exhibit 13-7. If at a 5% level of significance, we want to determine whether or not the means of the populations are equal, the critical value of F is
A)4.75
B)19.41
C)3.16
D)1.96
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15
Chapter 14: Simple Linear Regression
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Sample Questions
Q1) It is possible for the coefficient of determination to be
A)larger than 1
B)less than one
C)less than zero
D)All of these answers are correct, depending on the situation under consideration.
Q2) Refer to Exhibit 14-3. The critical F value at \(\alpha\) = 0.05 is
A)3.59 B)3.68 C)4.45 D)4.54
Q3) If there is a very strong correlation between two variables, then the coefficient of correlation must be
A)much larger than 1, if the correlation is positive
B)much smaller than 1, if the correlation is negative
C)either much larger than 1 or much smaller than 1
D)None of these answers is correct.
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Chapter 15: Multiple Regression
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109 Flashcards
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Sample Questions
Q1) In multiple regression analysis,
A)there can be any number of dependent variables but only one independent variable
B)there must be only one independent variable
C)the coefficient of determination must be larger than 1 D)there can be several independent variables, but only one dependent variable
Q2) Refer to Exhibit 15-1. MSR for this model is
A)200
B)10
C)1,000
D)43
Q3) Refer to Exhibit 15-3. The coefficient of determination for the above model is approximately
A)-0.875
B)0.875
C)0.125
D)0.144
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Chapter 16: Regression Analysis: Model Building
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Sample Questions
Q1) Refer to Exhibit 16-1. The test statistic for testing the significance of the model is
A)0.730
B)18.926
C)3.703
D)1.369
Q2) Refer to Exhibit 16-1. The coefficient of x<sub>2</sub>
A)is significant B)is not significant C)cannot be tested, because not enough information is provided D)None of these alternatives is correct.
Q3) A regression model relating a dependent variable, y, with one independent variable, x<sub>1</sub>, resulted in an SSE of 400. Another regression model with the same dependent variable, y, and two independent variables, x<sub>1</sub> and x<sub>2</sub>, resulted in an SSE of 320. At \(\alpha\) = .05, determine if x<sub>2</sub> contributed significantly to the model. The sample size for both models was 20.
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Chapter 17: Time Series Analysis and Forecasting
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Sample Questions
Q1) All of the following are true about a stationary time series except A)its statistical properties are independent of time
B)a plot of the time series will always exhibit a horizontal pattern
C)the process generating the data has a constant mean
D)there is no variability in the time series over time
Q2) Common types of data patterns that can be identified when examining a time series plot include all of the following except A)horizontal
B)vertical
C)seasonal
D)cyclical
Q3) In the linear trend equation, T = b<sub>0</sub> + b<sub>1t</sub>, b<sub>0</sub> represents the A)time
B)slope of the trend line
C)trend value in period 1
D)the Y intercept
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Chapter 18: Nonparametric Methods
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Sample Questions
Q1) Refer to Exhibit 18-6. The null hypothesis should be
A)rejected
B)not rejected
C)revised
D)None of these alternatives is correct.
Q2) Statistical methods that require assumptions about the population are known as
A)distribution free
B)nonparametric
C)either distribution free of nonparametric
D)parametric
Q3) The Spearman rank-correlation coefficient is
A)a correlation measure based on the average of data items
B)a correlation measure based on rank-ordered data for two variables
C)a correlation measure based on the median of data items
D)None of these alternatives is correct.
Q4) Excel's ____ function can be used to conduct a sign test.
A)POISSON.DIST
B)T.INV
C)BINOM.DIST
D)CHISQ.DIST.RT
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Chapter 19: Statistical Methods for Quality Control
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Sample Questions
Q1) To inspect incoming shipments of components, a manufacturer is considering samples of sizes 12, 15, and 18. Use binomial probabilities to select a sampling plan that provides a producer's risk of \(\alpha\) = .12 when p<sub>0</sub> is .04 and a consumer's risk of \(\beta\) = .08 when p<sub>1</sub> is .25.
Q2) The second stage of a two-stage acceptance sampling plan is executed when the first-stage result is
A)x<sub>1</sub> > c<sub>1</sub>
B)c<sub>1</sub> < x<sub>1</sub> < c<sub>2</sub>
C)x<sub>1</sub> > c<sub>2</sub>
D)x<sub>1</sub> > c<sub>1</sub> + c<sub>2</sub>
Q3) If the value of c in a single-stage sampling plan is increased, with n remaining constant, the probability of accepting the lot
A)increases
B)decreases
C)is unchanged
D)might increase or decrease, depending on the lot percent defective
Q4) The upper and lower control limits of a process are 66 and 54. Samples of size 16 are used for the inspection process. Determine the mean and the standard deviation for this process.
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Chapter 20: Decision Analysis
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Sample Questions
Q1) The process of revising prior probabilities to create posterior probabilities based on sample information is a
A)revision process
B)sampling revision
C)Bayesian revision
D)posterior revision
Q2) Refer to Exhibit 20-4. The expected value of alternative C is
A)10.2
B)13.2
C)12.9
D)26
Q3) When working backward through a decision tree, the analyst should
A)compute the expected value at each chance node
B)select the best chance branch at each chance node
C)select the best chance branch at each decision node
D)compute the expected value at each decision node
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Chapter 21: Sample Survey
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Sample Questions
Q1) Simple random sampling has been used to obtain a sample of 81 elements from a population of size 500. The sample mean is 120, and the sample standard deviation is determined to be 36.
a.Estimate the standard error of the mean.
b.Develop an approximate 95% confidence interval for the population mean.
c.Estimate the population total.
d.Develop an approximate 95% confidence interval for the population total.
Q2) Any method of sampling for which the probability of selecting a sample cannot be computed is termed
A)probability sampling
B)nonprobabilistic sampling
C)unknown population sampling
D)None of these alternatives is correct.
Q3) Which of the following is an example of nonprobabilistic sampling?
A)simple random sampling
B)stratified simple random sampling
C)cluster sampling
D)judgment sampling
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