Applied Statistics with Excel Chapter Exam Questions
Course Introduction
Applied Statistics with Excel introduces students to foundational statistical concepts and methods, emphasizing practical application using Microsoft Excel. The course covers topics such as data collection, descriptive statistics, probability distributions, hypothesis testing, regression analysis, and data visualization. Through hands-on exercises, students will learn how to use Excel's built-in tools and functions to analyze real-world datasets, interpret statistical results, and make informed decisions. By the end of the course, students will develop competency in applying statistical techniques and leveraging Excel for efficient data analysis across various disciplines.
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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Sample Questions
Q1) Income is an example of
A)categorical data
B)either categorical or quantitative data
C)currency data
D)quantitative data
Answer: D
Q2) Ordinary arithmetic operations are meaningful
A)only with categorical data
B)only with quantitative data
C)either with quantitative or categorical data
D)with rank data
Answer: B
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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Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
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Sample Questions
Q1) The difference between the lower class limits of adjacent classes provides the A)number of classes
B)class limits
C)class midpoint
D)class width
Answer: D
Q2) To construct a bar chart using Excel's Chart Tools, choose __________ as the chart type.
A)column
B)pie
C)scatter
D)line
Answer: A
Q3) The sum of the relative frequencies for all classes will always equal
A)the sample size
B)the number of classes
C)one
D)100
Answer: C
Page 4
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Chapter 3: Descriptive Statistics: Numerical Measures
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Sample Questions
Q1) The measure of location that is the most likely to be influenced by extreme values in the data set is the
A)range
B)median
C)mode
D)mean
Answer: D
Q2) The sum of deviations of the individual data elements from their mean is
A)always greater than zero
B)always less than zero
C)sometimes greater than and sometimes less than zero, depending on the data elements
D)always equal to zero
Answer: D
Q3) The coefficient of variation is
A)the same as the variance
B)the square root of the variance
C)the square of the standard deviation
D)None of the other answers are correct.
Answer: D
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Chapter 4: Introduction to Probability
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Sample Questions
Q1) The set of all possible sample points (experimental outcomes) is called
A)a sample
B)an event
C)the sample space
D)a population
Q2) When the results of experimentation or historical data are used to assign probability values, the method used to assign probabilities is referred to as the
A)relative frequency method
B)subjective method
C)classical method
D)posterior method
Q3) Given that event E has a probability of 0.25, the probability of the complement of event E
A)cannot be determined with the above information
B)can have any value between zero and one
C)must be 0.75
D)is 0.25
Q4) A committee of 4 is to be selected from a group of 12 people. How many possible committees can be selected?
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Chapter 5: Discrete Probability Distributions
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Sample Questions
Q1) Refer to Exhibit 5-10. The probability that Pete will catch fish on one day or less is
A).008
B).096
C).104
D).8
Q2) The standard deviation of a binomial distribution is
A)E(x) = np(1 - n)
B)E(x) = np(1 - p)
C)E(x) = np
D)None of the alternative answers is correct.
Q3) Consider a Poisson probability distribution in a process with an average of 3 flaws every 100 feet. Find the probability of
a. no flaws in 100 feet
b. 2 flaws in 100 feet
c. 1 flaws in 150 feet
d. 3 or 4 flaws in 150 feet
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Chapter 6: Continuous Probability Distributions
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Sample Questions
Q1) Refer to Exhibit 6-4. What is the probability that a randomly selected individual with an MBA degree will get a starting salary of at least $47,500?
A)0.4332
B)0.9332
C)0.0668
D)0.5000
Q2) The average starting salary for this year's graduates of a large community college is $30,000 with a standard deviation of $8,000. Furthermore, it is known that the starting salaries are normally distributed.
a.What is the probability that a randomly selected graduate of this community college will have a starting salary of at least $30,400?
b.Individuals with starting salaries of less than $15,600 receive a low income tax break. What percentage of the graduates will receive the tax break?
c.What are the minimum and the maximum starting salaries of the middle 95% of the graduates?
d.If 303 of the recent graduates have salaries of at least $43,120, how many students graduated this year from this community college?
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Page 8
Chapter 7: Sampling and Sampling Distributions
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Sample Questions
Q1) As the sample size becomes larger, the sampling distribution of the sample mean approaches a
A)binomial distribution
B)Poisson distribution
C)hypergeometric distribution
D)None of the alternative answers is correct.
Q2) A population of size 1,000 has a proportion of 0.5. Therefore, the proportion and the standard deviation of the sample proportion for samples of size 100 are
A)500 and 0.047
B)500 and 0.050
C)0.5 and 0.047
D)0.5 and 0.050
Q3) Refer to Exhibit 7-5. Which of the following best describes the form of the sampling distribution of the sample mean for this situation?
A)Approximately normal because the sample size is small relative to the population size.
B)Approximately normal because of the central limit theorem.
C)exactly normal
D)None of the alternative answers is correct.
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Chapter 8: Interval Estimation
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Sample Questions
Q1) The mean of the t distribution is
A)0
B).5
C)1
D)problem specific
Q2) Refer to Exhibit 8-2. With a .95 probability, the sample mean will provide a margin of error of
A)0.95
B)0.10
C).196
D)1.96
Q3) Refer to Exhibit 8-1. With a 0.95 probability, the margin of error is approximately
A)0.26
B)1.96
C)0.21
D)1.64
Q4) In a random sample of 500 college students, 23% say that they read or watch the news every day. Develop a 90% confidence interval for the population proportion. Interpret your results.
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Chapter 9: Hypothesis Tests
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Sample Questions
Q1) A fast food restaurant is considering a promotion that will offer customers to purchase a toy featuring a cartoon movie character. If more than 20% of the customers purchase the toy, the promotion will be profitable. A sample of 50 restaurants is used to test the promotion.
a.State the hypotheses associated with the restaurant's test.
b.Describe a Type I error for this situation.
c.Describe a Type II error for this situation.
Q2) When the hypotheses H<sub>0</sub>: \(\mu\) \(\ge\) 100 and H<sub>a</sub>: \(\mu\) < 100 are being tested at a level of significance of \(\alpha\), the null hypothesis will be rejected if the test statistic z is
A)> z<sub>\(\alpha\)</sub>
B)> -z<sub>\(\alpha\)</sub>
C)< -z<sub>\(\alpha\)</sub>
D)< 100
Q3) The error of rejecting a true null hypothesis is
A)a Type I error
B)a Type II error
C)can be either a or b, depending on the situation
D)committed when not enough information is available
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Chapter 10: Inference About Means and Proportions With
Two Populations
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Sample Questions
Q1) Refer to Exhibit 10-3. The point estimate for the difference between the means of the two populations is
A)58.5
B)9
C)-9
D)-6
Q2) Refer to Exhibit 10-2. The point estimate for the difference between the means of the two populations is
A)-1
B)-2
C)0
D)1
Q3) Refer to Exhibit 10-6. A 95% confidence interval estimate for the difference between the average purchases of the customers using the two different credit cards is
A)49 to 64
B)11.68 to 18.32
C)125 to 140
D)8 to 10
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Chapter 11: Inferences About Population Variances
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Sample Questions
Q1) 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.
Q2) In practice, the most frequently encountered hypothesis test about a population variance is a
A) one-tailed test, with rejection region in lower tail
B) one-tailed test, with rejection region in upper tail
C) two-tailed test, with equal-size rejection regions
D) two-tailed test, with unequal-size rejection regions
Q3) A company claims that the standard deviation in their delivery time is less than 5 days. A sample of 27 past customers is taken. The average delivery time in the sample was 14 days with a standard deviation of 4.5 days. At a 5% level of significance, test the company's claim.
Q4) Refer to Exhibit 11-3. The p-value for this test is
A)0.05
B)greater than 0.10
C)less than 0.10
D)1.96
Page 13
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Chapter 12: Tests of Goodness of Fit, Independence and Multiple Proportions
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Sample Questions
Q1) The number of degrees of freedom for the appropriate chi-square distribution in a test of independence is
A)n-1
B)k-1
C)number of rows minus 1 times number of columns minus 1 D)a chi-square distribution is not used
Q2) Refer to Exhibit 12-3. The number of degrees of freedom associated with this problem is
A)4
B)149
C)1
D)3
Q3) Refer to Exhibit 12-5. The expected number of adults who prefer coffee is
A)0.25
B)0.33
C)150
D)200
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Page 14
Chapter 13: Experimental Design and Analysis of Variance
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Sample Questions
Q1) Refer to Exhibit 13-7. The number of degrees of freedom corresponding to within treatments is
A)12
B)2
C)3
D)15
Q2) Refer to Exhibit 13-4. If at a 5% level of significance we want to determine whether or not the means of the five populations are equal, the critical value of F is
A)2.53
B)19.48
C)4.98
D)39.48
Q3) Refer to Exhibit 13-6. The mean square between treatments (MSTR) is A)36
B)16
C)64
D)15
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Chapter 14: Simple Linear Regression
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Sample Questions
Q1) Refer to Exhibit 14-5. The point estimate of y when x = 10 is A)-10
B)10
C)-4
D)4
Q2) Refer to Exhibit 14-1. The sample correlation coefficient equals A)0
B)-1
C)+1
D)-0.5
Q3) Refer to Exhibit 14-1. The least squares estimate of b<sub>0</sub> equals A)1
B)-1
C)5.5
D)11
Q4) In a regression analysis, the variable that is being predicted A)must have the same units as the variable doing the predicting B)is the independent variable C)is the dependent variable D)usually is denoted by x
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Chapter 15: Multiple Regression
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Sample Questions
Q1) In a multiple regression analysis involving 5 independent variables and 30 observations, SSR = 360 and SSE = 40. The coefficient of determination is
A)0.80
B)0.90
C)0.25
D)0.15
Q2) In a multiple regression model, the error term \(\varepsilon\) is assumed to be a random variable with a mean of A)zero
B)-1
C)1
D)any value
Q3) Refer to Exhibit 15-2. If SSR = 600 and SSE = 300, the test statistic F is
A)2.33
B)0.70
C)17.5
D)1.75
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17
Chapter 16: Regression Analysis: Model Building
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Sample Questions
Q1) Refer to Exhibit 16-2. The degrees of freedom associated with SST are A)24
B)6
C)19
D)None of these alternatives is correct.
Q2) When a regression model was developed relating sales (y) of a company to its product's price (x<sub>1</sub>), the SSE was determined to be 495. A second regression model relating sales (y) to product's price (x<sub>1</sub>) and competitor's product price (x<sub>2</sub>) resulted in an SSE of 396. At \(\alpha\) = 0.05, determine if the competitor's product's price contributed significantly to the model. The sample size for both models was 33.
Q3) Refer to Exhibit 16-1. If we are interested in testing for the significance of the relationship among the variables (i.e., significance of the model) the critical value of F at \(\alpha\) = 0.05 is
A)2.76
B)2.78
C)3.10
D)3.07
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Chapter 17: Time Series Analysis and Forecasting
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Sample Questions
Q1) Refer to Exhibit 17-1. An estimate of the seasonal-irregular component for Quarter 3 of Year 1 is
A).64
B)1.5625
C)5.333
D)30
Q2) Regarding a regression model, all of the following can be negative except the A) coefficient of determination
B) coefficient of correlation
C) coefficient of "x" in the regression equation
D) y-intercept in the regression equation
Q3) A parameter of the exponential smoothing model which provides the weight given to the most recent time series value in the calculation of the forecast value is known as the
A)mean square error
B)mean absolute deviation
C)smoothing constant
D)None of these alternatives is correct.
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19
Chapter 18: Nonparametric Methods
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Sample Questions
Q1) Refer to Exhibit 18-5. \(\mu\) in this situation is
A)60
B)30
C)41
D)2
Q2) Excel's ____ function can be used to conduct a sign test.
A)POISSON.DIST
B)T.INV
C)BINOM.DIST
D)CHISQ.DIST.RT
Q3) Refer to Exhibit 18-3. The null hypothesis should be A)rejected
B)not rejected
C)revised
D)None of these alternatives is correct.
Q4) Refer to Exhibit 18-1. The null hypothesis should be A)rejected
B)not rejected
C)revised
D)None of these alternatives is correct.
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Chapter 19: Statistical Methods for Quality Control
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Sample Questions
Q1) The quality control department of a company has decided to select a sample of 20 items from each shipment of goods it receives and inspect them for defects. It has been decided that if the sample contains no defective parts, the entire lot will be accepted. Each shipment contains 1,000 items.
a.What is the probability of accepting a lot that contains 10% defective items?
b.What is the probability of accepting a lot that contains 5% defective items?
c.What is the probability of rejecting a lot that contains 15% defective items?
Q2) A control chart used when the output of a process is measured in terms of the mean value of a variable such as a length, weight, temperature, and so on is
A)a p chart
B)an x-bar chart
C)an R chart
D)an np chart
Q3) The sample result plotted on an np control chart is
A)n<sub>p</sub>
B)np
C)the number of perfect units in the sample
D)the number of defective units in the sample
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21
Chapter 20: Decision Analysis
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Sample Questions
Q1) Application of Bayes' theorem enables us to compute
A)the prior probability of each state of nature
B)the posterior probability of each sample outcome
C)the conditional probability of the sample outcomes given each state of nature
D)the conditional probability of the states of nature given each sample outcome
Q2) The expected opportunity loss of the best decision alternative is the A)expected value
B)payoff
C)expected value of perfect information
D)None of the answers are correct.
Q3) The probability of the states of nature, after use of Bayes' theorem to adjust the prior probabilities based upon given indicator information, is called
A)marginal probability
B)conditional probability
C)posterior probability
D)None of the answers are correct.
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Chapter 21: Sample Survey
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Sample Questions
Q1) Refer to Exhibit 21-2. The population total is
A)34,400
B)21,500
C)400,000
D)500,000
Q2) A method of selecting a sample by randomly selecting the first element and then selecting every k<sup>th</sup> element thereafter is
A)area sampling
B)stratified sampling
C)systematic sampling
D)stratified simple random sampling
Q3) A target population is
A)the population from which the sample is actually selected
B)the population for which inferences are to be made
C)always the same as the sampled population
D)the same as the sample
Q4) 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?
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