Operations Management Test
Bank
Course Introduction
Operations Management is a foundational course that explores the principles, practices, and techniques involved in the efficient production and delivery of goods and services. The course covers topics such as process analysis, capacity planning, supply chain management, quality improvement, inventory control, and project management. Through case studies and practical applications, students will learn how to design, analyze, and improve operational processes in a variety of industries. Emphasis is placed on decision-making skills that enhance productivity, reduce costs, and ensure high-quality outputs, preparing students for operational challenges in a global business environment.
Recommended Textbook
Business Statistics for Contemporary Decision Making 2nd Canadian Edition by Ken Black
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19 Chapters
1456 Verified Questions
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Chapter 1: Introduction to Statistics
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Sample Questions
Q1) A business is attempting to find the best small town in Canada in which to relocate.As part of the investigation,the elevations of all small towns in Canada are researched.Some towns are located high in the Rockies with elevations over 2,000 metres.There are even some towns located in the Maritimes with elevations below sea level.These elevations can best be described as which level of data?
A)interval level
B)ordinal level
C)nominal level
D)ratio level
E)relative level
Answer: A
Q2) Define statistics and list example applications of statistics in business.
Answer: Statistics is an important decision-making tool in business and is used in virtually every area of business.In this text,the word statistics is defined as the science of gathering,analyzing,interpreting,and presenting data.
Q3) A descriptive measure of the sample is called a statistic.
A)True
B)False
Answer: True
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Page 3
Chapter 2: Charts and Graphs
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Sample Questions
Q1) A summary of data in which raw data are grouped into different intervals and the number of items in each group is listed is called a frequency distribution.
A)True
B)False
Answer: True
Q2) A histogram can be described as a type of vertical bar chart.
A)True
B)False
Answer: True
Q3) One advantage of a stem and leaf plot over a frequency distribution is that the values of the original data are retained.
A)True
B)False
Answer: True
Q4) 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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Sample Questions
Q1) The sample standard deviation is calculated by taking the square root of the population standard deviation.
A)True
B)False
Answer: False
Q2) The average starting salary for graduates at a university is $25,000 with a standard deviation of $2,000.If a histogram of the data shows that it takes on a mound shape,the empirical rule says that approximately 68% of the graduates would have a starting salary between ___.
A)$23,000 and $27,000
B)$21,000 and $29,000
C)$19,000 and $31,000
D)$24,000 and $26,000
E)$26,000 and $28,000
Answer: A
Q3) The lowest appropriate level of measurement for the median is ordinal. A)True
B)False
Answer: True
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Page 5
Chapter 4: Probability
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Sample Questions
Q1) Let A be the event that a student is enrolled in an accounting course,and let S be the event that a student is enrolled in a statistics course.It is known that 30% of all students are enrolled in an accounting course and 40% of all students are enrolled in statistics.Included in these numbers are 15% who are enrolled in both statistics and accounting.A student is randomly selected,what is the probability that the student is enrolled in either accounting or statistics or both?
A)0.15
B)0.85
C)0.70
D)0.55
E)0.90
Q2) The method of assigning probabilities to uncertain outcomes based on laws and rules is called the classical method.
A)True
B)False
Q3) If two events are mutually exclusive,then their joint probability is always zero. A)True
B)False
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Chapter 5: Discrete Distributions
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Sample Questions
Q1) In a binomial experiment,any single trial contains only two possible outcomes and successive trials are dependent.
A)True
B)False
Q2) Determine the mean,variance,and standard deviation of a discrete distribution.
Q3) The probability of selecting 3 defective items and 7 good items from a warehouse containing 10 defective and 50 good items would best be modelled with the ___.
A)binomial distribution
B)hypergeometric distribution
C)Poisson distribution
D)hyperbinomial distribution
E)exponential distribution
Q4) To compute the variance of a discrete distribution,it is not necessary to know the mean of the distribution.
A)True
B)False
Q5) Solve problems involving the binomial distribution using the binomial formula and the binomial table.
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Page 7
Chapter 6: Continuous Distributions
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Sample Questions
Q1) Since a normal distribution curve extends from minus infinity to plus infinity,the area under the curve is infinity.
A)True B)False
Q2) If x is a normal random variable with mean 80 and standard deviation 5,the z score for x = 88 is ___.
A)1.8
B)-1.8
C)1.6
D)-1.6
E)8.0
Q3) If x is uniformly distributed over the interval 8 to 12,inclusively (8 \(\le\) x \(\le\) 12),then the probability,P(9 \(\le\) x \(\le\) 11),is ___.
A)0.250
B)0.500
C)0.333
D)0.750
E)1.000
Q4) Solve for probabilities in a continuous uniform distribution.
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Chapter 7: Sampling and Sampling Distributions
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Sample Questions
Q1) A carload of steel rods has arrived at Cybermatic Construction Company.The car contains 50,000 rods.Claude Ong,manager of Quality Assurance,directs his crew measure the lengths of 100 randomly selected rods.If the population of rods has a mean length of 120 centimetres and a standard deviation of 0.05 centimetres,the probability that Claude's sample has a mean greater than 120.0125 centimetres is ___.
A)0.0124
B)0.0062
C)0.4938
D)0.9752
E)1.0000
Q2) According to the central limit theorem,if a sample of size 100 is drawn from a population with a mean of 80,the mean of all sample means would equal ___.
A)0.80
B)8
C)80
D)100
E)120
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9
Chapter 8: Statistical Inference: Estimation for Single Populations
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Sample Questions
Q1) Elwin Osbourne,CIO at GFS,Inc. ,is studying employee use of GFS email for non-business communications.A random sample of 200 email messages was selected.Thirty of the messages were not business related.The 90% confidence interval for the population proportion is ___.
A)0.108 to 0.192
B)0.153 to 0.247
C)0.091 to 0.209
D)0.145 to 0.255
E)0.255 to 0.265
Q2) James Desreumaux,VP of Human Resources of Maritime Boat Manufacturing (MBM),is reviewing the employee training programs of MBM factories.His staff randomly selected personnel files for 100 workers in New Brunswick and determined that their mean training time was 25 hours.Assume that the population standard deviation is 5 hours.The 92% confidence interval for the population mean of training times is ___.
A)16.25 to 33.75
B)24.30 to 25.71
C)17.95 to 32.05
D)24.13 to 25.88
E)24.45 to 27.32
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Chapter 9: Statistical Inference: Hypothesis Testing for
Single Populations
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Sample Questions
Q1) In testing hypotheses,the researcher initially assumes that the alternative hypothesis is true and uses the sample data to reject it.
A)True
B)False
Q2) In performing a hypothesis test where the null hypothesis is that the population mean is 6.9 against the alternative hypothesis that the population mean is not equal to 6.9,a random sample of 16 items is selected.The sample mean is 7.1 and the sample standard deviation is 2.4.It can be assumed that the population is normally distributed.The level of significance is selected as 0.05.The decision rule for this problem is to reject the null hypothesis if the observed "t" value is ___.
A)less than -2.131 or greater than 2.131
B)less than -1.761 or greater than 1.761
C)less than -1.753 or greater than 1.753
D)less than -2.120 or greater than 2.120
E)less than -3.120 or greater than 3.120
Q3) Reach a statistical conclusion in hypothesis testing problems about a population variance using the chi-square statistic.
Q4) Solve for possible Type II errors when failing to reject the null hypothesis.
Page 11
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Chapter 10: Statistical Inferences About Two Populations
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Sample Questions
Q1) A researcher is interested in estimating the difference in two population proportions.A sample of 400 from each population results in sample proportions of .61 and .64.A 90% confidence interval for the difference in the population proportions is ___.
A)-0.10 to 0.04
B)-0.09 to 0.03
C)-0.11 to 0.05
D)-0.07 to 0.01
E)-0.08 to 0.12
Q2) If the populations are normally distributed but the population variances are unknown,the t statistic can be used as the basis for statistical inferences about the difference in two population means using two independent random samples.
A)True
B)False
Q3) If a 98% confidence interval for the difference in the two population means does not contain zero,then the null hypothesis of zero difference between the two population means cannot be rejected at a 0.02 level of significance.
A)True
B)False
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Chapter 11: Analysis of Variance and Design of Experiments
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Sample Questions
Q1) Determining the table value for the F distribution is different from finding values in the t distribution tables because the F table requires two values for degrees of freedom.
A)True
B)False
Q2) Test a completely randomized design using a one-way analysis of variance.
Q3) In experimental design,classification variables are independent variables.
A)True
B)False
Q4) In experimental design,a characteristic of the subjects that was present prior to the experiment and is not the result of the experimenter's manipulations or control is called a classification variable.
A)True
B)False
Q5) Test a factorial design using a two-way analysis of variance,noting the advantages and applications of such a design and accounting for possible interaction between two treatment variables.
Q6) Describe an experimental design and its elements,including independent variables-both treatment and classification-and dependent variables.
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Chapter 12: Simple Regression Analysis and Correlation
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Sample Questions
Q1) In the simple regression model,y = 21 5x,if the coefficient of determination is 0.81,we can say that the coefficient of correlation between y and x is 0.90.
A)True
B)False
Q2) The proportion of variability of the dependent variable accounted for or explained by the independent variable is called the ___.
A)sum of squares error
B)coefficient of correlation
C)coefficient of determination
D)covariance
E)regression sum of squares
Q3) A standard deviation of the error of the regression model 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) Explain what regression analysis is and the concepts of independent and dependent variable.
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Chapter 13: Multiple Regression Analysis
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Sample Questions
Q1) In a multiple regression model the partial regression coefficient of an independent variable represents the increase in the y variable when that independent variable is increased by one unit if the values of all other independent variables are held constant.
A)True
B)False
Q2) A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch),production plant (Kingsland and Yorktown),and production shift (day and evening).In this model,"batch size" is ___.
A)a response variable
B)an indicator variable
C)a dependent variable
D)a qualitative variable
E)an independent variable
Q3) Regression analysis with one dependent variable and two or more independent variables is called multiple regression.
A)True
B)False
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Chapter 14: Building Multiple Regression Models
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Sample Questions
Q1) If a data set contains k independent variables,the "all possible regression" search procedure will determine 2<sup>k</sup> - 1 different models.
A)True
B)False
Q2) If a square root transformation is applied to a series of positive numbers greater than 1,the numerical values of the numbers in the transformed series will be smaller than the corresponding numbers in the original series.
A)True
B)False
Q3) If a qualitative variable has "c" categories,how many dummy variables must be created and used in the regression analysis?
A)c - 1
B)c
C)c + 1
D)c - 2
E)4 + c
Q4) Explain when to use logistic regression,and interpret its results.
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Page 16
Chapter 15: Time-Series Forecasting and Index Numbers
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Sample Questions
Q1) The motivation for using an index number is to ___.
A)transform the data to a standard normal distribution
B)transform the data for a linear model
C)eliminate bias from the sample
D)reduce data to an easier-to-use,more convenient form
E)reduce the variance in the data
Q2) An exponential smoothing technique in which the smoothing constant alpha is equal to one is equivalent to a naïve forecasting model.
A)True
B)False
Q3) Typically,the denominator used to calculate an index number is a measurement for the ___ period.
A)base
B)current
C)spanning
D)intermediate
E)peak
Q4) Autocorrelation in a regression forecasting model can be detected by the F test.
A)True
B)False
Page 17
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Chapter 16: Analysis of Categorical Data
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Sample Questions
Q1) In a chi-square test of independence the contingency table has 4 rows and 3 columns.The number of degrees of freedom for this test is 6.
A)True
B)False
Q2) Ophelia O'Brien,VP of Consumer Credit of Credit First Banks (CFB),monitors the default rate on personal loans at the CFB member banks.One of her standards is: "no more than 5% of personal loans should be in default." On each Friday,the default rate is calculated for a sample of 500 personal loans.Last Friday's sample contained 30 defaulted loans.Ophelia's null hypothesis is ___.
A)p > 0.05
B)p = 0.05
C)\(\mu\) \(\le\) 30
D)\(\mu\) > 30
E)s > 30
Q3) The null hypothesis in a chi-square goodness-of-fit test is that the observed distribution is same as the expected distribution.
A)True
B)False
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Chapter 17: Nonparametric Statistics
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Sample Questions
Q1) Statistical techniques based on assumptions about the population from which the sample data are selected are called ___.
A)population statistics
B)parametric statistics
C)nonparametric statistics
D)chi-square statistics
E)correlation statistics
Q2) To compare the means of two populations which cannot be assumed to be normally distributed and only ordinal-level data is available from two independent samples,we should use the t test for independent samples rather than the Mann-Whitney U test.
A)True
B)False
Q3) The nonparametric alternative to the one-way analysis of variance is the Kruskal-Wallis test.
A)True
B)False
Q4) Use Spearman's rank correlation to analyze the degree of association of two variables.
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Chapter 18: Statistical Quality Control
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Sample Questions
Q1) Higher output wattage means higher quality to some consumers of audio amplifiers.Among Garvin's five quality types,this is an example of ___.
A)user quality
B)transcendent quality
C)product quality
D)manufacturing-based quality
E)value quality
Q2) Inspecting the attributes of a finished product to determine whether the product is acceptable,is in need of rework,or is to be rejected is called after-process quality control.
A)True
B)False
Q3) Control charts are used to examine the output of a process for disturbing patterns or for data points that indicate that the process is out-of-control.
A)True
B)False
Q4) A control chart is used to control the flow of materials into a process. A)True
B)False
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Chapter 19: Decision Analysis
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Sample Questions
Q1) The expected monetary payoff of perfect information is the value of perfect information.
A)True
B)False
Q2) In a decision-making under risk scenario,the expected monetary value of a decision alternative is the weighted average (using the probability of each state of nature as the weight)of the payoffs to the decision alternative in each state of the nature.
A)True
B)False
Q3) 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
Q4) In a decision-making under uncertainty scenario using the strategy of minmax regret,all the entries in the opportunity loss table must be zero or positive.
A)True
B)False
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