Operations Management
Pre-Test Questions
Course Introduction
Operations Management explores the design, operation, and improvement of the processes that produce and deliver an organizations goods and services. This course covers key concepts such as process analysis, quality management, inventory control, supply chain coordination, and project management. Students will learn how to optimize resources, enhance productivity, and ensure quality, sustainability, and efficiency within a variety of organizational settings. Through case studies and practical exercises, the course equips students with tools and strategies to make data-driven decisions and solve operational challenges in both manufacturing and service environments.
Recommended Textbook
Modern Business Statistics with Microsoft Excel 5th Edition by David R. Anderson
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2226 Verified Questions
2226 Flashcards
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Page 2
Chapter 1: Data and Statistics
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85 Flashcards
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Sample Questions
Q1) A portion of the population selected to represent the population is called
A)statistical inference
B)descriptive statistics
C)a census
D)a sample
Answer: D
Q2) The profits earned by a particular Fortune 500 company, measured in millions of dollars, is an example of
A)categorical data
B)either categorical or quantitative data
C)neither categorical nor quantitative data
D)quantitative data
Answer: D
Q3) The set of measurements collected for a particular element is (are) called A)census
B)variables
C)observations
D)samples
Answer: C
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Page 3
Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
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Sample Questions
Q1) If several frequency distributions are constructed from the same data set, the distribution with the widest class width will have the A)fewest classes
B)most classes
C)same number of classes as the other distributions since all are constructed from the same data
D)None of the other answers are correct.
Answer: A
Q2) Excel's __________ can be used to construct a scatter diagram.
A)Chart Tools
B)SUM function
C)CROSSTAB function
D)RAND function
Answer: A
Q3) Refer to Exhibit 2-1. The percentage of students working 10 - 19 hours is
A)20%
B)25%
C)75%
D)80%
Answer: A
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Chapter 3: Descriptive Statistics: Numerical Measures
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Sample Questions
Q1) The measure of variability easiest to compute, but seldom used as the only measure, is the
A)range
B)interquartile range
C)standard deviation
D)variance
Answer: A
Q2) The standard deviation of a sample of 100 observations equals 64. The variance of the sample equals
A)8
B)10
C)6,400
D)4,096
Answer: D
Q3) The median of a sample will always equal the A)mode
B)mean
C)50th percentile
D)all of these answers are correct
Answer: C
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Chapter 4: Introduction to Probability
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Sample Questions
Q1) Bayes' theorem is used to compute
A)the prior probabilities
B)the union of events
C)both the prior probabilities and the union of events
D)the posterior probabilities
Q2) In a recent survey in a Statistics class, it was determined that only 60% of the students attend class on Fridays. From past data it was noted that 98% of those who went to class on Fridays pass the course, while only 20% of those who did not go to class on Fridays passed the course.
a.What percentage of students is expected to pass the course?
b.Given that a person passes the course, what is the probability that he/she attended classes on Fridays?
Q3) Super Cola sales breakdown as 80% regular soda and 20% diet soda. Men purchase 60% of the regular soda, but only 30% of the diet soda. If a woman purchases Super Cola, what is the probability that it is a diet soda?
Q4) A student has to take 7 more courses before she can graduate. If none of the courses are prerequisites to others, how many groups of three courses can she select for the next semester?
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Page 6
Chapter 5: Discrete Probability Distributions
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Sample Questions
Q1) A production process produces 2% defective parts. A sample of five parts from the production process is selected. What is the probability that the sample contains exactly two defective parts?
A)0.0004
B)0.0038
C)0.10
D)0.02
Q2) A production process produces 2% defective parts. A sample of 5 parts from the production is selected. What is the probability that the sample contains exactly two defective parts? Use the binomial probability function and show your computations to answer this question.
Q3) Refer to Exhibit 5-7. The expected number of cups of coffee is A)1 B)1.2
C)1.5
D)1.7
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) Refer to Exhibit 6-7. The probability that x is less than 5 is
A)0.6065
B)0.0606
C)0.3935
D)0.9393
Q2) If the mean of a normal distribution is negative,
A)the standard deviation must also be negative
B)the variance must also be negative
C)a mistake has been made in the computations, because the mean of a normal distribution cannot be negative
D)None of the alternative answers is correct.
Q3) The time it takes a mechanic to change the oil in a car is exponentially distributed with a mean of 5 minutes.
a.What is the probability density function for the time it takes to change the oil?
b.What is the probability that it will take a mechanic less than 6 minutes to change the oil?
c.What is the probability that it will take a mechanic between 3 and 5 minutes to change the oil?
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8
Chapter 7: Sampling and Sampling Distributions
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Sample Questions
Q1) Refer to Exhibit 7-2. The point estimate of the proportion in the population who will respond "no" is
A)75
B)0.25
C)0.75
D)0.50
Q2) A population has a mean of 80 and a standard deviation of 7. A sample of 49 observations will be taken. The probability that the mean from that sample will be larger than 82 is
A)0.5228
B)0.9772
C)0.4772
D)0.0228
Q3) The number of random samples (without replacement) of size 3 that can be drawn from a population of size 5 is
A)15
B)10
C)20
D)125
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Page 9
Chapter 8: Interval Estimation
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Sample Questions
Q1) A random sample of 81 children with working mothers showed that they were absent from school an average of 6 days per term. The population standard deviation is known to be 1.8 days. Provide a 90% confidence interval for the average number of days absent per term for all the children.
Q2) A health club annually surveys its members. Last year, 33% of the members said they use the treadmill at least 4 times a week. How large of sample should be taken this year to estimate the percentage of members who use the treadmill at least 4 times a week? The estimate is desired to have a margin of error of 5% with a 95% level of confidence.
Q3) A researcher is interested in determining the average number of years employees of a company stay with the company. If past information shows a standard deviation of 7 months, what size sample should be taken so that at 95% confidence the margin of error will be 2 months or less?
Q4) When the level of confidence increases, the confidence interval
A)stays the same
B)becomes wider
C)becomes narrower
D)cannot tell from the information given
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Chapter 9: Hypothesis Tests
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Sample Questions
Q1) Two approaches to drawing a conclusion in a hypothesis test are
A)p-value and critical value
B)one-tailed and two-tailed
C)Type I and Type II
D)null and alternative
Q2) Refer to Exhibit 9-4. The test statistic is
A)1.96
B)2.00
C)1.645
D)0.05
Q3) In a two-tailed hypothesis test, the null hypothesis should be rejected if the p-value is
A)less than or equal to \(\alpha\)
B)less than or equal to 2\(\alpha\)
C)greater than or equal to \(\alpha\)
D)greater than or equal to 2\(\alpha\)
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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Sample Questions
Q1) Refer to Exhibit 10-5. The null hypothesis tested is H<sub>0</sub>: \(\mu\)<sub>d</sub> = 0. The test statistic for the difference between the two population means is
A)2
B)0
C)-1 D)-2
Q2) Refer to Exhibit 10-13. The point estimate of the difference between the means is A)20
B)0.8
C)0.5 D)-20
Q3) Refer to Exhibit 10-4. The point estimate for the difference between the means of the two populations is A)0
B)2 C)3 D)15
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Chapter 11: Inferences About Population Variances
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Sample Questions
Q1) 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
Q2) The symbol used for the variance of the sample is
A)N
B)<sup>2</sup>
C)s
D)s<sup>2</sup>
Q3) The sampling distribution of the ratio of two independent sample variances taken from normal populations with equal variances is
A)an F distribution
B)a chi-square distribution
C)a t distribution
D)a normal distribution
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13
Chapter 12: Tests of Goodness of Fit, Independence and Multiple Proportions
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Sample Questions
Q1) Refer to Exhibit 12-2. The null hypothesis
A)should not be rejected
B)should be rejected
C)was designed wrong
D)None of these alternatives is correct.
Q2) Refer to Exhibit 12-4. The expected frequency for the Business College is
A)0.3
B)0.35
C)90
D)105
Q3) Refer to Exhibit 12-3. The null hypothesis
A)should not be rejected
B)should be rejected
C)should be revised
D)None of these alternatives is correct.
Q4) The properties of a multinomial experiment include all of the following except A) the experiment consists of a sequence of n identical trials
B) three or more outcomes are possible on each trial
C) the probability of each outcome can change from trial to trial
D) the trials are independent
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Chapter 13: Experimental Design and Analysis of Variance
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Sample Questions
Q1) Refer to Exhibit 13-3. The null hypothesis is to be tested at the 1% level of significance. The critical value from the table is
A)4.26
B)8.02
C)16.69
D)99.39
Q2) Refer to Exhibit 13-2. The null hypothesis
A)should be rejected
B)should not be rejected
C)should be revised
D)None of these alternatives is correct.
Q3) The mean square is the sum of squares divided by A)the total number of observations
B)its corresponding degrees of freedom
C)its corresponding degrees of freedom minus one
D)None of these alternatives is correct.
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Chapter 14: Simple Linear Regression
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103 Flashcards
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Sample Questions
Q1) In regression analysis, which of the following is not a required assumption about the error term \(\varepsilon\)?
A)The expected value of the error term is zero.
B)The variance of the error term is the same for all values of x.
C)The values of the error term are independent.
D)All are required assumptions about the error term.
Q2) Refer to Exhibit 14-3. Based on the above estimated regression equation, if advertising is $3,000, then the point estimate for sales (in dollars) is
A)$66,000
B)$5,412
C)$66
D)$17,400
Q3) Refer to Exhibit 14-1. The point estimate of y when x = 20 is A)0 B)31 C)9
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Chapter 15: Multiple Regression
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Sample Questions
Q1) The adjusted multiple coefficient of determination is adjusted for A)the number of dependent variables
B)the number of independent variables
C)the number of equations
D)detrimental situations
Q2) In order to test for the significance of a regression model involving 8 independent variables and 121 observations, the numerator and denominator degrees of freedom (respectively) for the critical value of F are
A)8 and 121
B)7 and 120
C)8 and 112
D)7 and 112
Q3) Refer to Exhibit 15-7. The test statistic from the information provided is A)2.110
B)3.480
C)4.710
D)6.875
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Chapter 16: Regression Analysis: Model Building
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Sample Questions
Q1) Which of the following tests is used to determine whether an additional variable makes a significant contribution to a multiple regression model?
A)a t test
B)a Z test
C)an F test
D)a chi-square test
Q2) Forty-eight observations of a dependent variable (y) and five independent variables resulted in an SSE of 438. When two additional independent variables were added to the model, the SSE was reduced to 375. At a 5% level of significance, determine if the two additional independent variables contribute significantly to the model.
Q3) Refer to Exhibit 16-1. The coefficient of x<sub>3</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.
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18
Chapter 17: Time Series Analysis and Forecasting
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Sample Questions
Q1) A method that uses a weighted average of past values for arriving at smoothed time series values is known as
A)regression analysis
B)deseasonalization
C)decomposition
D)exponential smoothing
Q2) One measure of the accuracy of a forecasting model is the A)smoothing constant
B)trend pattern
C)mean absolute error
D)seasonal index
Q3) Refer to Exhibit 17-3. In which time period does the value of Y<sub>i</sub> reach zero?
A)0.000
B)0.181
C)5.53
D)4.21
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Chapter 18: Nonparametric Methods
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Sample Questions
Q1) Refer to Exhibit 18-2. The hypothesis is to be tested at the 5% level of significance. The decision rule is not to reject the null hypothesis if
A)-1.96 < z < 1.96
B)-1.645 < z < 1.645
C)z > 1.96 or z < -1.96
D)the number of "+" signs is greater than or equal to 20 and less than or equal to 130
Q2) Refer to Exhibit 18-4. To test the null hypothesis, the appropriate probability distribution to use is
A)normal
B)chi-square
C)t distribution
D)binomial
Q3) Excel's ____ function can be used to conduct the Kruskal-Wallis test.
A)POISSON.DIST
B)BINOM.DIST
C)CHISQ.DIST.RT
D)NORM.S.DIST
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Chapter 19: Statistical Methods for Quality Control
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Sample Questions
Q1) In practice, it is common to use the sample _____ to estimate the process
A)variances, range
B)means, variance
C)standard deviations, mean
D)ranges, standard deviation
Q2) A control chart that is used to monitor the number of defectives in a sample is A)a p chart
B)an x-bar chart
C)an R chart
D)an np chart
Q3) Process control and acceptance sampling procedures are most closely related to A)linear regression procedures
B)interval estimation procedures
C)hypothesis testing procedures
D)analysis of variance procedures
Q4) 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.
Page 21
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Chapter 20: Decision Analysis
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Sample Questions
Q1) Refer to Exhibit 20-2. The recommended decision based on the expected value criterion is
A)A
B)B
C)Both alternatives are the same.
D)None of the answers are correct.
Q2) A graphic presentation of the expected gain from the various options open to the decision maker is called
A)a payoff table
B)a decision tree
C)the expected opportunity loss
D)the expected value of perfect information
Q3) The uncontrollable future events that can affect the outcome of a decision are known as
A)alternatives
B)decision outcome
C)payoff
D)states of nature
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22
Chapter 21: Sample Survey
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Sample Questions
Q1) A community has 2,000 registered voters. A pilot study revealed that 70% of the individuals are planning to vote for the incumbent mayor. We are interested in selecting a sample. So that the sampling error will not exceed 4%, what size sample should be taken?
Q2) Refer to Exhibit 21-2. The standard error of the mean is
A)9.2
B)43.0
C)1.6
D)8.9
Q3) Probabilistic sampling is any method of sampling in which
A)the probability of the occurrence of various events in the study are known
B)there are only two possible outcomes, such as P(A) and P(A<sup>c</sup>)
C)the probability of each possible sample can be computed
D)the probability of each possible sample is one
Q4) A survey of a subset of a population is called a
A)sample survey
B)target survey
C)sampled population
D)survey of element
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