Solution Manual for Statistics: Learning from Data, 2nd Edition

Page 1 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 1 preview image

Complete Solutions Manualto AccompanyStatistics: Learning from DataSECOND EDITIONRoxy PeckCalifornia Polytechnic State University, San Luis ObispoTom ShortWest Chester University of PennsylvaniaPrepared byStephen MillerWinchester Thurston School, Pittsburgh, PA

Page 2 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 2 preview image

Page 3 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 3 preview image

ContentsChapter 1: Collecting Data in Reasonable Ways ............................................................................. 1Chapter 2: Graphical Methods for Describing Data Distributions................................................. 15Chapter 3: Numerical Methods for Describing Data Distributions ............................................... 58Chapter 4: Describing Bivariate Numerical Data .......................................................................... 83Chapter 5: Probability .................................................................................................................. 119Chapter 6: Random Variables and Probability Distributions....................................................... 152Chapter 7: An Overview of Statistical Inference – Learning from Data ..................................... 200Chapter 8: Sampling Variability and Sampling Distributions ..................................................... 207Chapter 9: Estimating a Population Proportion ........................................................................... 227Chapter 10: Asking and Answering Questions About a Population Proportion .......................... 263Chapter 11: Asking and Answering Questions About the DifferenceBetween Two Proportions............................................................................................................ 304Chapter 12: Asking and Answering Questions About a Population Mean .................................. 355Chapter 13: Asking and Answering Questions About the Difference Between Two Means ...... 400Chapter 14: Learning from Categorical Data............................................................................... 536Chapter 15: Understanding Relationships – Numerical Data ...................................................... 607Chapter 16: Asking and Answering Questions About More Than Two Means .......................... 640Online Section 4.6: Logistic Regression...................................................................................... 667Online Section 6.9: Counting Rules and the Poisson Distribution .............................................. 673

Page 4 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 4 preview image

Chapter 1 Collecting Data in Reasonable WaysSection 1.2 Exercise Set 11.1:This is an observational study because the person conducting the study merely recorded(based on a survey) whether or not the boomers sleep with their phones within arm’slength, and whether or not people ages 50 to 64 used their phones to take photos.1.2:This is an observational study because the researchers recorded responses to questions on asurvey. No men were assigned to different experimental groups.1.3:This is an experiment because the researchers assigned different toddlers to experimentalconditions (adult played with/talked to the robot or the adult ignored the robot).1.4:This is an observational study because the researchers surveyed U.S. adults and drew aconclusion from the survey results; there were no experimental treatments assigned.1.5:This is an experiment because the researchers assigned study participants to one of threetreatment groups (meditation, distraction task, or relaxation technique).Section 1.2 Exercise Set 21.6:This is an observational study based on results of a survey (no consumers were assigned todifferent experimental conditions).1.7:This is an experiment because the participants (college students) were assigned to differentexperimental conditions (McDonald’s Big Mac coupon or Subway 12-inch Italian BMTcoupon).1.8:This is an observational study because the researchers based their conclusions on the resultsof a survey. There was no assignment to different experimental conditions.1.9:This is an experiment because the researchers assigned study participants to differentexperimental conditions (garlic supplement group or no garlic supplement group).1.10: This is an experiment because the researchers assigned the children to differentexperimental groups (ball behaving as expected and ball behaving in an unexpected way).Additional Exercises for Section 1.21.11: This is an observational study because the researchers observed the proportion of patientswho got an infection in the two groups (overnight hospitalization or more than one nighthospitalization); there was no assignment of subjects to experimental groups.1

Page 5 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 5 preview image

1.12: This is an experiment because the researcher assigned three of the statistics discussionsections to receive chocolate, and the remaining three did not receive chocolate (thechocolate or lack of chocolate was the experimental group).1.13: This is an experiment because the study participants were assigned to one of the twoexperimental groups (how much would you pay for the mug or how much would you sellthe mug for).1.14: The study described was an experiment because the study participants were asked either thefirst or second question (the participants were assigned to one of the two experimentalgroups).Section 1.3 Exercise Set 11.15: (a) The group of 716 bicycle fatalities represents a census of the 2008 bicycle fatalities. (b)Because the group of 716 represents a census, the average age of 41 years is a populationcharacteristic.1.16: The sample is the 100 San Fernando Valley residents, and the population of interest is allSan Fernando Valley residents.1.17: The headline referenced in the previous exercise is not appropriate because the LosAngeles County Metropolitan Transportation Authority only surveyed 100 residents fromthose who attended a community forum in Van Nuys on a Monday. Residents who couldnot attend the forum were not included in the survey. The residents who attended the forumare likely those who feel strongly about the issue. As such, it is not appropriate togeneralize the survey results to all San Fernando Valley residents. The sample is biased,and we cannot be sure that the results of this survey are representative of the population asa whole. If results from this study are to be reported at all, a more appropriate headlinemight be “Over two-thirds of those attending a community forum OK with 1-cent transittax.”1.18: There are several reasonable approaches. One is described here. Using the list of allstudents at the school, write their names on identical slips of paper. Thoroughly mix theslips of paper, and select 150 slips. The individuals whose names are on the slips of paperconstitute the sample.1.19: (a) The population of interest is all U.S. women. (b) Although the details of the samplingscheme are not presented, the sample size is large (which is generally desirable).However, not all states were represented in the sample; only women from Maryland,Minnesota, Oregon and Pennsylvania were included in the sample. As such, it might bedifficult to generalize beyond the population of women in those four states. (c) Given thatonly women from four states were included in the sample, the sample is not likely to be2

Page 6 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 6 preview image

representative of the population of interest. (d) Selection bias is present because theselection method excluded women from all states other than Maryland, Minnesota, Oregonand Pennsylvania.Section 1.3 Exercise Set 21.20: The given percentages are statistics, because they were computed from sample dataobtained by a survey.1.21: The group of soldiers surveyed represents a census. The reported percentage is a populationcharacteristic, because it was computed using data from the entire population of soldiers.1.22: (a) This is a convenience sample because there was no random selection of a top medicalschool or an expert within the school. (b) Because there was no random selection of theinfectious disease expert, generalization to all doctors is not reasonable.1.23: There are several reasonable approaches. One is described here. Write the names of allstudents enrolled at the college on identical slips of paper. Thoroughly mix the slips ofpaper and select 100 of the slips. The students whose names are on the 100 slips of paperconstitute the simple random sample.1.24: (a) The population of interest is all Arizona drivers. (b) Although the details of thesampling scheme are not presented, there was random selection of AAA Arizona members.Therefore, the sample was selected in a reasonable way. (c) This sample is notrepresentative of the population of interest because only those people who are AAAArizona members were included in the sample. (d) Selection bias is present because thosedrivers who are not AAA Arizona members have been excluded from the sample.Nonresponse bias could also be present because there was no indication of how manysurveys were not returned.Additional Exercises for Section 1.31.25: (a) One example of a leading question is “Knowing that there are health problemsassociated with consuming too much sugar, and that soft drinks contain large amounts ofadded sugar, should there be a tax on soft drinks to encourage people to consume less?” (b)A double-barreled question is “How satisfied are you with the food and service at thisrestaurant?” It would be better to split the bad question into two questions, such as “Howsatisfied are you with the food at this restaurant” and “How satisfied are you with theservice at this restaurant.”1.26: The population is all 7000 property owners in this particular rural county. The sample isthe 500 property owners selected at random from the 7000 total owners in the county.3

Page 7 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 7 preview image

1.27: The population is the 5000 bricks in the lot available at the auction. The sample is the 100bricks chosen for inspection.1.28: The chairman does not understand the power of random selection. Random samples tendto reflect the distribution of voters in the population. Although it is possible to obtain arandom sample that is not representative of the population, the risk of getting a sample thatis not representative of the population does not depend on what fraction of the population issampled. The random selection process allows us to be confident that the resulting samplewill adequately reflect the population, even when the sample consists of only a relativelysmall fraction of the population.1.29: Bias introduced through the two different sampling methods may have contributed to thedifferent results. The online sample could suffer from voluntary response bias in thatperhaps only those who feel very strongly would take the time to go to the website andregister their vote. In addition, younger people might be more technologically savvy, andtherefore the website might represent the views of younger people (particularly students)who support the parade. The telephone survey telephone responses might represent theview of permanent residents (as students might only use cell phones and not have a localphone number).Section 1.4 Exercise Set 11.30: Random assignment allows the researcher to create groups that are equivalent, so that thesubjects in each experimental group are as much alike as possible. This ensures that theexperiment does not favor one experimental condition (playing Unreal Tournament 2004 orTetris) over another.1.31: (a) Allowing subject participants to choose which group they want to be in could introducesystematic differences between the two experimental conditions (compression socks groupor regular athletic socks group), resulting in potential confounding. Those who wouldchoose to wear compression socks might, in some way, be different from those who wouldchoose the regular athletic socks. We would not know if differences in the measuredvariables from the blood samples between the two groups were due to the compressionsocks, or due to some inherent differences in the subjects who chose their experimentalgroups. (b) It would be good to have the runners be blind to the type of socks they weregiven to eliminate the possible psychological advantage the runners might have if theyknew they were wearing compression socks. That way, we could better determine if thecompression socks were the cause of any performance gains.1.32: (a) The attending nurse was responsible for administering medication after judging thedegree of pain and nausea, so the researchers did not want the nurse’s personal beliefsabout the different surgical procedures to influence measurements. (b) Because the4

Page 8 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 8 preview image

children who had the surgery could easily determine whether the surgical procedure waslaparoscopic repair or open repair based on the type of incision.1.33: There are several possible approaches. One is described here. Write each subject’s nameon identical slips of paper. Mix the slips of paper thoroughly and draw out slips one at atime. The names on the first 15 slips are assigned to the experimental condition of listeningto a Mozart piano sonata for 24 minutes. The names on the next 15 slips are assigned tothe experimental condition of listening to popular music for the same length of time. Theremaining 15 names are assigned to the relaxation with no music experimental condition.1.34: (1) Does a dietary supplement consisting of Omega 3, Omega 6, and antioxidants reducehair loss in women with stage 1 hair loss? (2) The experimental conditions are thesupplement and control. (3) The response variable is the change in hair density. (4) Theexperimental units are the 120 women who volunteered for the study. (5) Yes, the designincorporates random assignment of women to either the supplement group or the controlgroup. (6) Yes, there was a control group. (7) Yes, there was blinding. The expert whodetermined the change in hair density did not know which of the women had taken thesupplement. There is no indication that the women were blinded as to which treatment theyreceived, although this could be incorporated.Section 1.4 Exercise Set 21.35: Random assignment allows the researcher to create groups that are equivalent, so that thesubjects in each experimental group are as much alike as possible. This ensures that theexperiment does not favor one experimental condition (distraction or no distraction) overanother.1.36: (a) Allowing subject participants to choose which group they want to be in could introducesystematic differences between the two experimental conditions (knee replacement surgerywith exercise and exercise therapy alone), resulting in potential confounding. Those whochose knee replacement surgery plus exercise might, in some way, be different from thosewho chose exercise therapy alone. We would not know if differences in pain reliefbetween the two groups were due to the knee replacement surgery with exercise, or due tosome inherent differences in the subjects who chose their experimental groups. (b)Because the purpose of this experiment is to determine whether knee replacement surgerywith exercise provided more pain relief than exercise therapy alone, a control group couldbe used to provide a baseline against which the treatment groups can be compared todetermine if the treatments had an effect.1.37: Blinding of both the dog handlers and experimental observers is important so that the dogsare not intentionally or otherwise guided in determining which patients have cancer. Theblinding guarantees that the dogs do not rely on any information other than the patient’sbreath.5

Page 9 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 9 preview image

1.38: There are several possible approaches. One is described here. Write each subject’s nameon identical slips of paper. Mix the slips of paper thoroughly and draw out slips one at atime. The names on the first 20 slips are assigned to one type of keyboard (experimentalcondition), and the remaining 20 are assigned to the other type of keyboard (the otherexperimental condition).1.39: Was there a control group in which there were identical sheets of paper with no wordswritten on them? Was there any random assignment of experimental units to treatmentgroups? How were the experimental units selected? How many water bottles were used inthe study? Were the water bottles identical? How many bottles of water were used? Whatmeasurements were made on the water? Were measurements made both before and afterthe words were applied to the bottle? Who took the measurements? Was the person takingthe measurements blinded to the presence or absence of words on the pieces of paper?Additional Exercises for Section 1.41.40: The experimental conditions were the presence or absence of music with a vocalcomponent. The response is the time required to complete the surgical procedure.1.41: (a) Some surgical procedures are more complex and require a greater degree ofconcentration; music with a vocal component might be more distracting when the surgicalprocedure is more complex. (b) The temperature of the room might affect the comfort ofthe surgeon; if the surgeon is too hot or too cold, she or he might be uncomfortable, andtherefore more easily distracted by the vocal component. (c) If the music is too loud, thesurgeon might be distracted and unable to focus, regardless of the presence or absence ofthe vocal component. If the music is too soft, the surgeon might try to concentrate onlistening to the vocal component, and therefore pay more attention to the music rather thanthe surgical procedure.1.42: Random assignment of surgeons to music condition is important because there might besomething inherently different about surgeons who want no vocals versus those who dowant vocals. Random assignment ensures that the experiment does not favor oneexperimental condition over another.1.43: This experiment could not have been double-blind because the surgeon would knowwhether or not there was a vocal component to the music.1.44: Yes, the random assignment of subjects to experimental groups has been successful increating groups that are similar in age. Both the LR and OR groups have similar maximumages, and the LR group does have a few children with slightly lower ages than the ORgroup. Overall, however, the LR and OR groups are quite similar with respect to ages.6

Page 10 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 10 preview image

1.45: (a) Probably not, because the judges might not believe that Denny’s food is as good asother restaurants. (b) Experiments are often blinded in this way to eliminatepreconceptions about particular experimental treatments.Section 1.5 Exercise Set 11.46: (a) This was most likely an observational study. (b) It is not reasonable to conclude thatpushing a shopping cart causes people to be less likely to purchase junk food because theresults of observational studies cannot be used to draw cause-and-effect conclusions.1.47: (a) It is not reasonable to conclude that owning a dog causes higher heart rate variability.This was an observational study, so cause-and-effect conclusions cannot be drawn. (b) It isnot reasonable to generalize the results of this survey to all adult Americans because thestudy participants were not randomly selected from the population of all adult Americans.1.48: The researcher would have had to assign the nine cyclists at random to one of the threeexperimental conditions (chocolate milk, Gatorade, or Endurox).1.49:Study 1:Question 1: This is an observational study.Question 2: Yes, random selection was used.Question 3: No, this was not an experiment so there were no experimental groups.Question 5: It is reasonable to generalize to the population of students at this particularlarge college.Study 2:Question 1: This study was an experiment.Question 2: Random selection was not used.Question 3: There was no random assignment to experimental conditions (the groupingwas based on gender).Question 4: No, the conclusion is not appropriate because of confounding of gender andtreatment (women ate pecans, and men did not eat pecans).Question 5: It is not reasonable to generalize to a larger population.7

Page 11 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 11 preview image

Study 3:Question 1: This is an observational study.Question 2: There was no random selection.Question 3: There was no random assignment to experimental groups.Question 4: No, the conclusion is not appropriate because this was an observationalstudy, and therefore cause-and-effect conclusions cannot be drawn.Question 5: We cannot generalize to any larger population beyond the 200 volunteers.Study 4:Question 1: This is an experiment.Question 2: There was no random selection from some population.Question 3: Yes, there was random assignment to experimental groups.Question 4: Yes, because this was a simple comparative experiment with randomassignment of subjects to experimental groups. We can draw cause-and-effectconclusions.Question 5: We cannot generalize to a larger population because there was no randomselection from some population.Study 5:Question 1: This is an experiment.Question 2: Yes, there was random selection from students enrolled at a large college.Question 3: Yes, random assignment of subjects to experimental groups was used.Question 4: Yes, because this was a simple comparative experiment with randomassignment of subjects to experimental groups. We can draw cause-and-effectconclusions.Question 5: Due to the random selection of students, we can generalize conclusions fromthis study to the population of all students enrolled at the large college.Section 1.5 Exercise Set 21.50: (a) Random selection from the population of affluent Americans is required. (b) No,because the population sampled from was affluent Americans.8

Page 12 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 12 preview image

1.51: In order to determine if the conclusions implied by the headline are appropriate, I wouldneed to know if dieters were randomly assigned to the experimental conditions (large forkor small fork). In order to generalize to the population of dieters, I would also want toknow if the study participants were randomly selected from the population of dieters.1.52: Random assignment ensures that the experiment does not favor one experimental condition(talking on the phone, not talking on the phone) over another. If the person crossing thevirtual street was on the phone the first 10 crossings, and not on the phone the last 10crossings, we wouldn’t know if any difference between the treatments was due to the phoneuse or due to the person being either more or less aware of the surroundings for the last 10crossings, for example.1.53:Study 1:Question 1: This is an observational study.Question 2: No, there was no random selection from a population.Question 3: No, there was no random assignment to experimental groups.Question 4: No, the conclusion that you can “strengthen your marriage with prayer” isnot appropriate. There was no experiment conducted, so a cause-and-effect conclusioncannot be drawn.Question 5: No, it is not reasonable to generalize conclusions from this study to somelarger population because this was a voluntary response sample.Study 2:Question 1: This is an observational study.Question 2: Yes, there was random selection from the population of AAUW members.Question 3: There was no random assignment to experimental groups (this is not anexperiment).Question 4: No, the conclusion that you can “strengthen your marriage with prayer” isnot appropriate. There was no experiment conducted, so a cause-and-effect conclusioncannot be drawn.Question 5:Due to random selection, it is reasonable to generalize the conclusions fromthis study to the population of AAUW members.9

Page 13 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 13 preview image

Study 3:Question 1: This was an observational study.Question 2: No, there was no random selection from a population.Question 3: No, there was no random assignment to experimental groups (this was anobservational study, not an experiment).Question 4: No, the conclusion that you can “strengthen your marriage with prayer” isnot appropriate. Since this was an observational study, a cause-and-effect conclusioncannot be drawn.Question 5: It is not reasonable to generalize conclusions from this study to a largerpopulation because there was no random selection of study participants.Additional Exercises for Section 1.51.54: It is not reasonable to conclude that being raised with two or more animals is the cause ofthe observed lower allergy rate. This was an observational study, so cause-and-effectconclusions cannot be drawn.1.55: It might be that people who live in the South have a less healthy diet and exercise less thanthose in other parts of the country. As a result, the higher percentage of Southerners withhigh blood pressure might have nothing to do with living in the South.1.56: This is an experiment.1.57: There was no random selection from some population.1.58: Yes, there was random assignment to experimental groups (portrait orientation orlandscape orientation).1.59: Yes, it is reasonable to draw the conclusion that reasoning using information displayed on asmall screen is improved by turning the screen to landscape orientation because this was anexperiment in which there was random assignment of subjects to experimental groups.1.60: No, it is not reasonable to generalize the conclusions from this study to some largerpopulation because there was no random selection of study participants from a population.Chapter 1:Are You Ready to Move On? Chapter 1 Review Exercises1.61: (a) This is an experiment due to the random assignment of subjects to experimentalconditions (the five different rooms). (b) This is an observational study because there wasno random assignment of subjects to experimental conditions; the researchers merelyrecorded what they observed on the MySpace pages. (c) This is an observational study10

Page 14 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 14 preview image

because there was no random assignment of subjects to experimental conditions; theresearchers merely recorded the responses of the survey participants. (d) This is anexperiment because of the random assignment of study participants (the adults with backpain) to experimental conditions (the four different treatments).1.62: The population of interest is the 15,000 students at the college. The 200 students who wereinterviewed constitute the sample.1.63: (a) 84% is a population characteristic. (b) 24.1 years is a statistic. (c) 22% is a populationcharacteristic. (d) 6.4 days is a statistic. (e) 63 hours is a statistic.1.64: (1) The study participants were volunteers and were not randomly selected. (2) The studyparticipants were all students at Texas Women’s University. (3) The study participantswere all women (because they are students at a Women’s university).1.65: The council president should assign a unique identifying number to each of the names onthe petition, numbered from 1 to 500. On identical slips of paper, write the numbers 1 to500, with each number on a single slip of paper. Thoroughly mix the slips of paper andselect 30 numbers. The 30 numbers correspond to the unique numbers assigned to nameson the petition. These 30 names constitute the sample.1.66: (a) (1) The patients are the population of interest. (2) The study description indicates norandom selection of participants, so it does not appear as if the sample was selected in areasonable way. (3) No, the sample is not likely to be representative of the population ofinterest. The sample consisted of only undergraduate students, so even if there was randomselection of participants, the study results could not be generalized to the population of allpatients. (4) It is likely that this study design is affected by selection bias because onlyundergraduate students were included in the study, thus systematically excluding all non-undergraduate students from the population of interest. (b) No, the stated conclusions arenot reasonable because there was no random selection of study participants, and the studysuffers from selection bias.1.67: Without random assignment of the study participants to experimental condition,confounding could impact the conclusions of the study. For example, people who wouldchoose an attractive avatar might be more outgoing and willing to engage than someonewho would choose an unattractive avatar.1.68: (a) Yes, by randomly selecting the 852 children to be in one experimental group (the bookgroup), the remaining children, by default, are in the control group. (b) The control groupallows the experimenter to assess how the response variable behaves when the treatment isnot used. This provides a baseline against which the treatment groups can be compared todetermine if the treatment has an effect. In this case, the researcher can determine whether11

Page 15 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 15 preview image

children given the reading books have better school performance, as measured by a readingtest.1.69: (a) It seems as if the alternate assignment to the experimental groups (large serving bowls,small serving bowls) would tend to produce groups that are similar. People who arrive tothe party at approximately the same time might, in some way, be similar to each other, sodividing them into the different experimental groups as described would tend to make thetwo groups similar to each other. (b) Blinding ensures that individuals do not let personalbeliefs influence their measurements. The research assistant that weighed the plates andestimated the calorie content of the food might (intentionally or not) have let her or hispersonal beliefs influence the estimate of the calorie content of the food on the plate.1.70: There are several possible approaches. One is described here. Write each subject’s nameon identical slips of paper. Mix the slips of paper thoroughly and draw out slips one at atime. The names on the first 10 slips are assigned to the first hand drying method. Thenames on the next 10 slips are assigned to the second hand drying method. The remaining10 names are assigned to the third hand drying method.1.71: (a) (1) The experiment is designed to answer the question “Does using hand gestures helpchildren learn math?” (2) The two experimental conditions are using hand gestures and notusing hand gestures. (3) The response variable is the number correct on the six-problemtest. (4) The experimental units are the 128 children in the study; they were selectedbecause they were the children who answered all six questions on the pretest incorrectly.(5) Yes, the children were assigned randomly to one of the two experimental groups. (6)Yes, the control group is the experimental condition of not using any hand gestures. (7)There was no blinding and, indeed, it would not be possible to include blinding of subjectsin this experiment (the children would know whether or not they were using hand gestures),and there is no need to blind the person recording the response because the test was gradedwith each answer correct or incorrect, so there is no subjectivity in recording the responses.(b) It seems as if the conclusions are reasonable because the subjects were assigned to thetreatment groups at random.1.72: (a) Yes, it is reasonable to generalize the stated conclusion to all 18-year-olds with apublically accessible MySpace web profile because the profiles were selected at randomfrom all MySpace web profiles of 18-year-olds. (b) No, it is not reasonable to generalizethe stated conclusion to all 18-year-old MySpace users because those users withoutpublically accessible profiles were not included in the random selection process. (c) No, itis not reasonable to generalize the stated conclusion to all MySpace users because the studyonly included 18-year-old MySpace users.1.73: (a) No, the 60 games selected were the 20 most popular (by sales) for each of threedifferent gaming systems. The study excluded the games that were not in the top 20 most12

Page 16 of 16

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 16 preview image

popular (by sales). (b) It is not reasonable to generalize the researcher’s conclusions to allvideo games due to selection bias (there was a systematic exclusion of those games not inthe top 20 most popular (by sales)).1.74: (a) The study described is not an experiment because there were no experimentalconditions to which study participants were randomly assigned. (b) No, it is not reasonableto conclude that physical activity is the cause of the observed difference in body fatpercentage. This was an observational study, and cause-and-effect conclusions cannot bedrawn.1.75:Study 1:Question 1: The study described is an observational study.Question 2: No, there was no random selection from a population.Question 3: No, there was no random assignment to experimental groups.Question 4: No, it is not reasonable to conclude that taking calcium supplements is thecause of the increased heart attack risk.Question 5: No, it is not reasonable to generalize conclusions from this study to a largerpopulation because there was no random selection from a larger population.Study 2:Question 1: The study described is an observational study.Question 2: Yes, there was random selection from the population of people living inMinneapolis who receive Social Security.Question 3: No, there was no random assignment of subjects to experimental groups.Question 4: No, it is not reasonable to conclude that taking calcium supplements is thecause of the increased heart attack risk.Question 5: Yes, it is reasonable to generalize the results of this study to the populationof people living in Minneapolis who receive Social Security.Study 3:Question 1: The study described is an experiment.Question 2: Yes, there was random selection from the population of people living inMinneapolis who receive Social Security.13

Preview Mode

This document has 677 pages. Sign in to access the full document!

Report

Learning Tools

Writing Tools

Browse Resources

Solution Manual for Statistics: Learning from Data, 2nd Edition - Page 1

Study Now!

Document Details

Related Documents

Statistics - Univariate Inferential Tests

Statistics - Sampling

Statistics - Probability

Statistics - Principles of Testing

Statistics - Numerical Measures

Statistics - Introduction to Statistics

Statistics - Graphic Displays

Statistics - Cummulative Reviews

Statistics - Common Mistakes and Tables

Statistics - Bivariate Relationships

Company

Explore

Study Tools