Operations Management Practice Exam
Course Introduction
Operations Management is a foundational course that explores the principles and practices involved in designing, managing, and improving the processes that produce goods and services in organizations. The course covers key topics such as process analysis, capacity planning, inventory management, quality control, supply chain management, and project management. Students will learn how organizations can achieve operational excellence through strategic decision-making, efficient resource allocation, and the application of quantitative and qualitative analysis tools. Case studies and real-world examples are used to illustrate how operations management contributes to organizational competitiveness and customer satisfaction across various industries.
Recommended Textbook
Business Statistics For Contemporary Decision Making 9th Edition by Ken
Black
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Page 2
Chapter 1: Introduction to Statistics
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Q1) A student makes an 82 on the first test in a statistics course.From this,she estimates that her average at the end of the semester (after other tests)will be about 82. This is an example of _______.
A) descriptive statistics
B) inferential statistics
C) population derivation
D) sample persuasion
E) relative level data
Answer: B
Q2) One of the main ways to organize the study of statistics is to divide it in two branches.These two branches are _______ statistics and _______ statistics.
A) positive; normative
B) descriptive; normative
C) positive; inferential
D) descriptive; inferential
E) positive, macro
Answer: D
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Chapter 2: Charts and Graphs
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Q1) A graphical representation of a frequency distribution is called a pie chart.
A)True
B)False
Answer: False
Q2) A frequency distribution was developed. The lower endpoint of the first class is 9.30,and the midpoint is 9.35. What is the upper endpoint of this class?
A) 9.50
B) 9.60
C) 9.70
D) 9.40
E) 9.80
Answer: D
Q3) In a histogram,the tallest bar represents the class with the highest cumulative frequency.
A)True
B)False
Answer: False
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Chapter 3: Descriptive Statistics
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Q1) A statistics student made the following grades on 7 tests: 76,82,92,95,79,86,and 92. What is the mean grade?
A) 78
B) 80
C) 86
D) 84
E) 88
Answer: C
Q2) The empirical rule says that approximately what percentage of the values would be within 1 standard deviation of the mean in a bell shaped set of data?
A) 95%
B) 68%
C) 50%
D) 97.7%
E) 100%
Answer: B
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Page 5
Chapter 4: Probability
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Q1) If two events are mutually exclusive,then their joint probability is always zero.
A)True
B)False
Q2) There are three companies that produce a critical electronic navigation component (ENC)used in the aerospace industry.These companies are Alice Manufacturing,Byte International,and Cognizant Technologies.Alice makes 85% of the ENCs,Byte makes 10%,and Cognizant makes the remaining 5%.The ENCs made by Alice have a 2.5% rate of defects,the ones made by Byte have a 4.0% rate of defects,and the ones made by Cognizant have a 6% rate of defects.If an ENC is randomly selected from the general population of ENCs,the probability that it was made by Alice is _______.If this ENC is later tested and found to be defective,the probability that it was made by Alice is
A) 0.15; 0.85
B) 0.85; 0.85
C) 0.85; 0.77
D) 0.85; 0.76
E) 0.85; 0.75
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Page 6
Chapter 5: Discrete Distributions
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Q1) A large industrial firm allows a discount on any invoice that is paid within 30 days. Of all invoices,10% receive the discount. In a company audit,15 invoices are sampled at random. The mean (average)value of the number of the 15 sampled invoices that receive discount is _______
A) 1
B) 3
C) 1.5
D) 2
E) 10
Q2) Circuit boards for wireless telephones are etched,in an acid bath,in batches of 100 boards. A sample of seven boards is randomly selected from each lot for inspection. A particular batch contains two defective boards; and x is the number of defective boards in the sample. P(x=2)is _______.
A) 0.1315
B) 0.8642
C) 0.0042
D) 0.6134
E) 0.0034
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Chapter 6: Continuous Distributions
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Q1) Suppose the total time to fill a routine prescription at a local pharmacy is 35 minutes based on the time the physician places the order to the time it is dispensed.Assume the standard deviation is 11 minutes.A z score was calculated for a number,and the z score is 3.4. What is x?
A) 37.4
B) 72.4
C) 0.00
D) 68.0
E) 2.0.8
Q2) If the number of parking spots at urban grocery stores is uniformly distributed over the interval 90 to 140,inclusively (90 \(\le\) x \(\le\) 140),inclusively (90 \(\le\) x \(\le\) 140),then the mean of this distribution is __________________.
A) 115
B) 230
C) 45
D) 70
E) unknown
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Chapter 7: Sampling and Sampling Distributions
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Q1) Paige DeMarco is the Vice President for University Advancement at State University. She is responsible for the capital campaign to raise money for the new student services building.Paige plans to target alumni and acquires her sampling frame from the State University Office of Alumni Relations.She intends to contact these individuals regarding possible donations.Paige chooses her sample by selecting six-digit numbers (1 to 150,000)from a random number table. Her sample is a _________.
A) simple random sample
B) stratified sample
C) systematic sample
D) convenience sample
E) cluster sample
Q2) A population list,map,directory,or other source used to represent the population from which a sample is taken is called a frame.
A)True
B)False
Q3) Systematic sampling is a type of random sampling technique.
A)True
B)False
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9
Chapter 8: Statistical Inference: Estimation for Single Populations
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Q1) Like a t-distribution,a chi-square distribution is symmetrical and extends from minus infinity to plus infinity.
A)True
B)False
Q2) In order to find values in the t distribution table,you must determine the appropriate degrees of freedom based on the sample sizes.
A)True
B)False
Q3) Suppose a researcher is interested in understanding the variation in the price of store brand milk.A random sample of 36 grocery stores selected from a population and the mean price of store brand milk is calculated.The sample mean is $3.13 with a standard deviation of $0.23.Construct a 99% confidence interval to estimate the population mean.
A) $3.03 to $3.23
B) $3.12 to $3.14
C) $3.05 to $3.21
D) $2.90 to $3.36
E) $3.06 to $3.20
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Chapter 9: Statistical Inference: Hypothesis Testing for
Single Populations
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Q1) Discrete Components,Inc.manufactures a line of electrical resistors. Presently,the carbon composition line is producing 100 ohm resistors. The population variance of these resistors "must not exceed 4" to conform to industry standards. Periodically,the quality control inspectors check for conformity by randomly selecting 10 resistors from the line,and calculating the sample variance. The last sample had a variance of 4.36. Assume that the population is normally distributed. Using \(\alpha\) = 0.05,the null hypothesis is _________________.
A) \(\mu\) = 100
B) \(\sigma\) \(\le\) 10
C) s<sup>2</sup> \(\ge\) 4
D) \(\sigma\)<sup>2</sup> = 4
E) n = 100
Q2) In many cases a business researcher gathers data to test a hypothesis about a single population mean and the value of the population standard deviation is unknown.In this case the researcher cannot use the z test.
A)True
B)False
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Chapter 10: Statistical Inferences About Two Populations
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Q1) A researcher believes a new diet should improve weight gain.To test his hypothesis a random sample of 10 people on the old diet and an independent random sample of 10 people on the new diet were selected.The selected people on the old diet gain an average of 5 pounds with a standard deviation of 2 pounds,while the average gain for selected people on the new diet was 8 pounds with a standard deviation of 1.5 pounds.Assume that the values are normally distributed in each population and that the population variances are approximately equal.Using \(\alpha\) = 0.05,the critical t value used from the table for this is _______.
A) -1.96
B) -1.645
C) -2.100
D) -3.79
E) -1.734
Q2) If the variances of the two populations are not equal,it is appropriate to use the "pooled" formula to determine the t-statistic for the hypothesis test of the difference in the two population means.
A)True
B)False
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Page 12
Chapter 11: A Nalysis of Variance and Design of Experiments
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Q1) BigShots,Inc.is a specialty e-tailer that operates 87 catalog Web sites on the Internet. Kevin Conn,Sales Director,feels that the style (color scheme,graphics,fonts,etc.)of a Web site may affect its sales. He chooses three levels of design style (neon,old world and sophisticated)and randomly assigns six catalog Web sites to each design style.In Kevin's experiment "style" is _______.
A) the dependent variable
B) a treatment variable
C) a concomitant variable
D) a blocking variable
E) a response variable
Q2) In experimental design,a variable that the experimenter controls or modifies in the experiment is called a treatment variable.
A)True
B)False
Q3) The Tukey-Kramer procedure is based on construction of confidence intervals for each pair of treatment means at a time.
A)True
B)False
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Chapter 12: Simple Regression Analysis and Correlation
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Q1) The slope of the regression line,y = 21 5x,is 5.
A)True
B)False
Q2) A researcher has developed a regression model from fourteen pairs of data points.He wants to test if the slope is significantly different from zero.He uses a two? tailed test and \(\alpha\) = 0.01.The critical table t value is _______.
A) 2.650
B) 3.012
C) 3.055
D) 2.718
E) 2.168
Q3) The total of the squared residuals is called the _______.
A) coefficient of determination
B) sum of squares of error
C) standard error of the estimate
D) R-squared
E) coefficient of correlation
Q4) Regression methods can be pursued to estimate trends that are linear in time.
A)True
B)False
Page 14
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Chapter 13: Multiple Regression Analysis
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Q1) The mean square error (MS<sub>err</sub>)is calculated by dividing the sum of squares error (SS<sub>err</sub>)by the number of observations in the data set (N).
A)True
B)False
Q2) The F test is used to determine whether the overall regression model is significant. A)True
B)False
Q3) In the regression equation y = 1959.71 0.46 x<sub>1</sub> + 2.16 x<sub>2</sub>,suppose that the you are considering the point (x<sub>1</sub>,x<sub>2</sub>)= (1.5,0.5),and furthermore,suppose that the variable x<sub>1</sub><sub> </sub>increases by a factor of 2 (i.e.,it doubles).What must be the change in the variable x<sub>2</sub> so that y remains unchanged?
A) 2.16
B) 2.16
C) 0.319
D) 0.319
E) 0.638
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Page 15
Chapter 14: Building Multiple Regression Models
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Q1) The regression model y = \(\beta\)<sub>0</sub> + \(\beta\)<sub>1</sub> x<sub>1</sub> + \(\beta\)<sub>2</sub> x<sub>2</sub> + \(\beta\)<sub>3</sub> x<sub>1</sub>x<sub>2</sub> + \(\varepsilon\) is a first order model.
A)True
B)False
Q2) The regression model y = \(\beta\)<sub>0</sub> + \(\beta\)<sub>1</sub> x<sub>1</sub> + \(\beta\)<sub>2</sub> x<sup>2</sup><sub>1</sub> + \(\varepsilon\) is called a quadratic model.
A)True
B)False
Q3) If two or more independent variables are highly correlated,the regression analysis might suffer from the problem of singular collinearity.
A)True
B)False
Q4) A linear regression model can be used to explore the possibility that a quadratic relationship may exist between two variables by suitably transforming the independent variable.
A)True
B)False
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Chapter 15: Time-Series Forecasting and Index Numbers
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Q1) If the trend equation is quadratic in time t=1 .T,the forecast value for the next time T+1 depends on time T.
A)True
B)False
Q2) Linear regression models cannot be used to analyze quadratic trends in time-series data.
A)True
B)False
Q3) An exponential smoothing technique in which the smoothing constant alpha is equal to one is equivalent to a regression forecasting model.
A)True
B)False
Q4) When forecasting with exponential smoothing,data from previous periods is
A) given equal importance
B) given exponentially increasing importance
C) ignored
D) given exponentially decreasing importance
E) linearly decreasing importance
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Chapter 16: Analysis of Categorical Data
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Q1) A cancer research group surveys 100 women more than 40 years old to test the hypothesis that 50% of women in this age group have regularly scheduled mammograms.Forty of the women respond affirmatively.Using \(\alpha\) = 0.05,the critical value of chi-square is _______.
A) 7.38
B) 5.02
C) 3.84
D) 5.99
E) 6.99
Q2) In a chi-square goodness-of-fit test,theoretical frequencies are also called expected frequencies.
A)True
B)False
Q3) In a chi-square goodness-of-fit test,actual frequencies are also called calculated frequencies.
A)True B)False
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18
Chapter 17: Nonparametric Statistics
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Q1) The appropriate test for comparing the means of two populations using ordinal-level data from two related samples is the Wilcoxon test and not the Mann-Whitney U test.
A)True
B)False
Q2) Nonparametric statistics are sometimes called distribution-dependent statistics.
A)True
B)False
Q3) The alternate hypothesis for a one-sample runs test is __________________.
A) "the observations in the sample are not cross-linked"
B) "the observations in the sample are correlated"
C) "the observations in the sample are not statistically independent"
D) "the observations in the sample are not randomly generated"
E) "the observations are not systematically generated"
Q4) Nonparametric statistics are sometimes called _______________.
A) nominal statistics
B) interval statistics
C) distribution-dependent statistics
D) distribution-free statistics
E) qualitative statistics
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Chapter 18: Statistical Quality Control
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Q1) For a p chart,UCL = 0.64 and LCL = 0.32.Then q = ______.
A) There is not enough information to determine q
B) 0.03
C) 0.04
D) 0.52
E) 0.68
Q2) For a p chart,UCL = 0.64 and LCL = 0.32.The standard deviation of the proportions is ______.
A) There is not enough information to determine the standard deviation of the proportions
B) 0.32
C) 0.16
D) 0.14
E) 0.11
Q3) A Pareto chart is a diagnostic tool that displays possible causes of a quality problem and the interrelationships among the causes.
A)True
B)False
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Chapter 19: Decision Analysis
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Sample Questions
Q1) Which of the following choices is not true about decision theory?
A) Decision alternatives for one person can be states of nature for another.
B) Payoffs are always positive or zero.
C) If you play a card game at a casino, the cards you are dealt are states of nature.
D) If you decide to take a MOOC (massive open online course), how much you learn is a payoff.
E) In a two-person interaction, it is possible that the sum of the two payoffs is positive.
Q2) In a decision analysis problem,variables (such as investing in common stocks or corporate bonds)which are under the decision maker's control are called decision alternatives.
A)True
B)False
Q3) In a decision-making scenario,if the decision maker knows which state of nature will occur,the scenario is called decision-making under certainty.
A)True
B)False
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