Archives: Solution Manual

Discussion Questions Chapter 1: Public Speaking and You: Building Confidence 1. How much public speaking anxiety do you possess? Using the following link http://www.jamescmccroskey.com/measures/prpsa.htm complete the Personal Report of Public Speaking Anxiety (PRPSA). Once you have answered all of the […]

Student Resource Gamble, The Public Speaking Playbook, 2nd Edition SAGE Publishing, 2018 Lecture Notes Chapter 1: Public Speaking and You: Building Confidence Learning Objectives 1-1 Demonstrate how public speaking fulfills personal, professional, and societal goals 1-2 List and explain the […]

Croteau, Media/Society, 6e SAGE Publishing, 2019 Chapter Outlines Chapter 9: Media Influence Purpose and Goals of the Chapter Chapter 9 considers media’s wide-ranging confluence in contemporary life; both how individual users might be affected by media and, more broadly, how […]

Croteau, Media/Society, 6e SAGE Publishing, 2019 Discussion Questions Chapter 9: Media Influence 1. What is the press’ responsibility to democracy? 2. Watch this clip, from the TV show Newsroom, what is accurate within the context of the dialogue? What is […]

Croteau, Media/Society, 6e SAGE Publishing, 2019 Chapter Outlines Chapter 8: Audiences and Creators Purpose and Goals of the Chapter Chapter 8 is intended to explore the ways that audiences interact with, use, and create mass media. The chapter focuses on […]

Croteau, Media/Society, 6e SAGE Publishing, 2019 Discussion Questions Chapter 8: Active Audiences and Users 1. What does it mean that audience members are “active” readers? What kind of activities do you participate in? 2. How does class influence how one […]

Croteau, Media/Society, 6e SAGE Publishing, 2019 Chapter Outlines Chapter 7: Social Inequality and Media Representation Purpose and Goals of the Chapter The examination of media content traditionally has been the most common type of media analysis, perhaps because of the […]

Croteau, Media/Society, 6e SAGE Publishing, 2019 Discussion Questions Chapter 7: Social Inequality and Media Representation 1. In what ways, does media content, like Instagram, accurately portray the “real world?” 2. What are the best/worst case scenarios of linking content? Frame […]

Croteau, Media/Society, 6e SAGE Publishing, 2019 Chapter Outlines Chapter 6: Media and Ideology Purpose and Goals of the Chapter Chapter 6 introduces the question of ideology, exploring the values, beliefs, and norms that media products routinely display. The chapter looks […]

Croteau, Media/Society, 6e SAGE Publishing, 2019 Discussion Questions Chapter 6: Media and Ideology 1. What are your ideologies do you hold? How are they represented in media? Are the supported or repressed? How do you know this? 2. How are […]

Croteau, Media/Society, 6e SAGE Publishing, 2019 Chapter Outlines Chapter 10: Globalization and the Future of Media Purpose and Goals of the Chapter This chapter explores the nature and potential consequences of media globalization. We have already addressed some global dimensions […]

Croteau, Media/Society, 6e SAGE Publishing, 2019 Discussion Questions Chapter 10: Globalization and the Future of Media 1. What does the “globalization” of media mean? 2. How does the globalization affect media socialization and popular culture? 3. Marshall McLuhan envisioned an […]

SUPPLEMENTARY EXERCISES FOR CHAPTER 9 461 (c) Variable Effect Variable Effect A7.50 AE 7.00 B19.75 BC 3.00 AD −4.00 (d) The probability plot shows that factors Band E appear to affect the yield. None of the interactions appear to be […]

450 CHAPTER 9 18. (a) Source DF SS MS F P Wafer 2 262627.1 131313.6 24118.8 0.000 (b) With the balance powered up continuously, there are no apparent differences in measurements obtained by different operators. When one of the operators […]

6. (a) Source DF SS MS F P Age 3 20.964 6.988 0.89095 0.453 Error 45 352.95 7.8433 Total 48 373.91 (b) No. F3,45 = 0.89095, P > 0.10 (P= 0.453). 7. (a) Source DF SS MS F P Group […]

412 CHAPTER 8 S = 0.33050 R-sq = 92.0% R-sq(adj) = 90.7% (c) 6 7 8 9 10 11 −1 −0.5 0 0.5 1 Fitted Value Residual There is a some suggestion of het- eroscedasticity, but it is hard to […]

394 CHAPTER 8 3. 44 46 48 50 52 −2 −1 0 1 2 Fitted Values Residuals The linear model is reasonable. There is no obvious pattern to the plot. 4. (a) by=−0.83 + 0.017(20) + 0.0895(17) + 42.771(0.006) + […]

SUPPLEMENTARY EXERCISES FOR CHAPTER 7 381 (b) 0 10 20 30 40 50 60 −30 −20 −10 0 10 20 30 Order of Observations Residual No violations of the standard assumptions are in- dicated. 5. (a) x= 50, y= 47.909091, […]

368 CHAPTER 7 11. The width of a confidence interval is proportional to sby=ss1 n+(x−x)2 Pn i=1(xi−x)2. 12. The mean temperature is (x) = 65.0. Since 60◦C is closest to (x), its confidence interval would be the shortest. Since 45◦C […]

5. The heights and weights for the men (dots) are on the whole greater than those for the women (xs). Therefore the scatterplot for the men is shifted up and to the right. The overall plot exhibits a higher correlation […]

SECTION 6.14 331 10. (a) One-tailed. The alternate hypothesis is of the form µ > µ0. (b) 4. The alternate mean is equal to the null plus the difference, and the difference is 1, so, if the null mean is […]

8. The ranks of the combined samples are Value Rank Sample 1255 1.5X 1255 1.5X 1270 3 X 1280 4 X 1287 5 X 1291 6 X 1296 7 X 1301 8 Y 1302 9 X 1306 10 X 1310 […]

294 CHAPTER 6 Section 6.7 1. (a) X= 3.05, sX= 0.34157, nX= 4, Y= 1.8, sY= 0.90921, nY= 4. The number of degrees of freedom is ν=0.341572 (0.341572/4)2 4−1+(0.909212/4)2 4−1 = 3, rounded down to the nearest integer. t3= (3.05 […]

274 CHAPTER 6 is the area to the left of z=−2.98. 6. (a) X= 15.2, s= 1.8, n= 87. The null and alternate hypotheses are H0:µ= 15 versus H1:µ6= 15. z= (15.2−15)/(1.8/√87) = 1.04. Since the alternate hypothesis is of […]

or (0.0379, 0.266). 11. No, these are not simple random samples. Section 5.6 1. X= 1.5, sX= 0.25, nX= 7, Y= 1.0, sY= 0.15, nY= 5. The number of degrees of freedom is ν=0.252 (0.252/7)2 7−1+(0.152/5)2 5−1 = 9, rounded […]

236 CHAPTER 5 5. (a) X= 50, s= 2, n= 100, z.025 = 1.96. The confidence interval is 50 ±1.96(2/√100), or (49.608,50.392). (b) X= 50, s= 2, n= 100, z.005 = 2.58. The confidence interval is 50 ±2.58(2/√100), or (49.484,50.516). […]

12. (a,b) Answers will vary. (c) µmedian = 0 exactly (simulation results will be approximate), σmedian ≈0.536. (d) Answers will vary. (e) µX= 0 exactly, σX= 1/√5 exactly (simulation results will be approximate). (f) Bias is exactly 0 in both […]

6. 0 0.5 1 1.5 2 2.5 3 0.001 0.01 0.05 0.1 0.25 0.5 0.75 0.9 0.95 0.99 0.999 The logs of the PM data do appear to come from an approximately normal dis- tribution. 7. Yes. If the logs […]

188 CHAPTER 4 5. (a) ln I∼N(1,0.2), ln R∼N(4,0.1), and Iand Rare independent. Therefore ln V∼N(5,0.3). 6. The probability that a given circuit has a voltage less than 200 volts is P(V < 200) = 0.7054. Let Xbe the number […]

168 CHAPTER 4 The uncertainty is σb +σ2 =√6.25 + 3.5 = 3.1. λ1−λ2= 5.5±3.1 18. If the mean decay rate is exactly 1 per second, then the mean number of events in 10 seconds is 10, so X∼Poisson(10). (a) […]

148 CHAPTER 4 4. (a) If Xand Ycannot both be equal to 1, the possible values for Zare 0 and 1, so Zis a Bernoulli random variable. (b) pZ=P(Z= 1) = P(X= 1 or Y= 1) = P(X= 1) + […]

SECTION 3.4 129 k= ln(T0−Ta)/t −ln(T−Ta)/t = 0.1 ln(T0−Ta)−0.1 ln(T−Ta) = 0.0626 18. (a) a= 2.5, σa= 0.1, b= 0.05, σb= 0.01, w= 1.2, σw= 0.1, v=a+bw = 2.56 ∂v ∂a = 1 ∂v ∂b =w= 1.2 ∂v ∂w =b= […]

110 CHAPTER 3 7. (a) Yes, the uncertainty can be estimated with the standard deviation of the five measurements, which is 21.3 µg. (b) No, the bias cannot be estimated, since we do not know the true value. 8. (a) […]

SUPPLEMENTARY EXERCISES FOR CHAPTER 2 99 20. (a) µX= 0.02pX(0.02) + 0.04pX(0.04) + 0.06pX(0.06) + 0.08pX(0.08) = 0.02(0.22) + 0.04(0.19) + 0.06(0.29) + 0.08(0.30) = 0.0534 (b) µY= 100pY(100) + 150pY(150) + 200pY(200) = 100(0.14) + 150(0.36) + 200(0.50) = […]

88 CHAPTER 2 (b) µM1M2=µR2+E1R+E2R+E1E2=µR2+µE1µR+µE2µR+µE1µE2=µR2 26. Cov(X, X) = µX·X−µXµX=µX2−(µX)2=σ2 X. 27. (a) Cov(aX, bY ) = µaX·bY −µaX µbY =µabXY −aµXbµY=abµXY −abµXµY =ab(µXY −µXµY) = abCov(X, Y ). (b) ρaX,bY = Cov(aX, bY )/(σaX σbY ) = abCov(X, Y […]

68 CHAPTER 2 8. Let X1, …, X24 be the volumes of the 24 bottles. Let S=X1+···+X24 be the total weight. The average volume per bottle is X. (a) µS=PµXi= 24(20.01) = 480.24 (b) σS=qPσ2 Xi=p24(0.022) = 0.098 (c) µX=µXi= […]

48 CHAPTER 2 (e) The small probability in part (a) indicates that some good bottles will be scrapped. This is not so serious. The important thing is that of the bottles that pass inspection, very few should have flaws. The […]

28 CHAPTER 2 (f) The set A∪Bcontains the outcomes that are either in A, in B, or in both. Therefore A∪B={CCC, DDD, SSS, CDS, CSD, DCS, DSC, SCD, SDC}. 5. (a) The outcomes are the sequences of candidates that end […]

472 CHAPTER 10 Chapter 10 Section 10.1 1. (a) Count 2. (a) True (b) False. If no special causes are operating, then the variability is constant. It is still possible for much of the output to fail to conform to […]

11. (a) 40 50 60 70 80 90 100 Number Absent (b) Yes. The value 100 is an outlier. 12. The mean. The median, and the first and third quartiles are indicated directly on a boxplot, and the interquartile range […]

Solutions Manual to accompany STATISTICS FOR ENGINEERS AND SCIENTISTS, 4th ed. Prepared by William Navidi PROPRIETARY AND CONFIDENTIAL This Manual is the proprietary property of The McGraw-Hill Companies, Inc. (“McGraw-Hill”) and protected by copyright and other state and federal laws. […]

1 Chapter 9 Group Development and Team Building After reading and studying this chapter, the student should be able to:  Identify the stages of group development.  Compare the advantages and limitations of groups. Describe the variables that determine […]

1 Chapter 8 Leadership After reading and studying this chapter, the student should be able to:  Describe factors that affect the leadership style used.  Discuss and explain two frequently used leadership models.  Determine which leadership style is […]

1 CHAPTER 7 Motivation After reading and studying this chapter, the student should be able to:  Identify the three levels of employee motivation.  Explain the relationship between performance and motivation.  Understand and explain Maslow’s hierarchy of needs […]

1 Chapter 6 Communication After reading and studying this chapter, the student should be able to:  Describe the five components of the communication process model.  Explain the forms of electronic communication technology.  Explain the different ways in […]

1 Chapter 5 Delegating Authority and Empowering Employees After reading and studying this chapter, the student should be able to:  Recognize the importance of delegation.  Explain what is involved in the delegation process, including authority, responsibility, and accountability. […]

1 Chapter 4 Fundamentals of Organizing After reading and studying this chapter, the student should be able to:  Understand the stages of organization growth.  Identify the advantages and disadvantages of the functional, product, and matrix departmentalization approaches.  […]

1 Chapter 3 Decision Making, Problem Solving, and Ethics After reading and studying this chapter, the student should be able to:  Explain the role of decision making in the supervisor’s job.  Discuss why supervisors need to make so […]

19 Chapter 2 Fundamentals of Planning After reading and studying this chapter, the student should be able to:  Discuss some of the more important points about planning.  Explain the steps involved in planning.  Explain how planning differs […]

SUPERVISORY MANAGEMENT Instructor’s Manual tions for applicants and employees with physical or mental impairments that substantially limit major life activities. • Accommodations are not considered reasonable if they place an undue hardship on the em- ployer or would require an […]