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Chapter 16 l Skills Practice 975 © 2010 Carnegie Learning, Inc. 16 Skills Practice Skills Practice for Lesson 16.1 Name _____________________________________________ Date ____________________ Choosing Circles Sampling Methods and Bias Vocabulary Match each definition to its corresponding term. 1. a sample obtained by dividing the population a. subjective sample into different groups, or strata, according to a characteristic and randomly selecting data from each group 2. a sample selected in such a way that every b. simple random sample member of the population has the same chance of being selected 3. a sample whose data is based on what is c. random digit table convenient for the person choosing the sample 4. a sample obtained by selecting every n th data d. stratified random sample in the population 5. a table of single digits, 0 through 9, that have e. cluster sample been randomly generated by a computer so that every digit has the same chance of being chosen each time 6. a sample whose data consists of those f. systematic sample who volunteer to be part of the sample 7. a sample of data that does not accurately g. convenience sample represent all of the population 8. a sample obtained by creating clusters with h. volunteer sample each cluster containing the characteristics of the population and randomly selecting a cluster 9. a sample in which an individual makes a judgment i. biased sample about which data items to select

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Skills Practice Skills Practice for Lesson 16.1

Name _____________________________________________ Date ____________________

Choosing CirclesSampling Methods and Bias

VocabularyMatch each definition to its corresponding term.

1. a sample obtained by dividing the population a. subjective sample

into different groups, or strata, according to a

characteristic and randomly selecting data

from each group

2. a sample selected in such a way that every b. simple random sample

member of the population has the same

chance of being selected

3. a sample whose data is based on what is c. random digit table

convenient for the person choosing the sample

4. a sample obtained by selecting every nth data d. stratified random sample

in the population

5. a table of single digits, 0 through 9, that have e. cluster sample

been randomly generated by a computer so

that every digit has the same chance of

being chosen each time

6. a sample whose data consists of those f. systematic sample

who volunteer to be part of the sample

7. a sample of data that does not accurately g. convenience sample

represent all of the population

8. a sample obtained by creating clusters with h. volunteer sample

each cluster containing the characteristics of

the population and randomly selecting a cluster

9. a sample in which an individual makes a judgment i. biased sample

about which data items to select

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16Problem SetSelect a subjective sample of four for each data set. Explain the criteria on which you selected your sample.

1. The test scores for a math test are shown.

70 75 89 60 95 78 54 82 91 76

Answers will vary. Sample answer: 54, 75, 76, 95

54 and 95 were chosen because they are the maximum and minimum values.

75 and 76 were chosen because they are about in the middle of the highest and lowest test scores.

2. The weights in kilograms of wildebeest in a zoo are shown.

130 242 227 186 250 192 215 203 232 175

3. The number of crimes committed each month over a ten-month period are shown.

2 1 0 3 3 4 5 2 0 6

4. The prices of DVDs in an electronics store, in dollars, are shown.

5.99 7.95 10.00 14.75 8.35 13.95 21.99 13.27 8.75 11.95

5. The batting averages of ten baseball players in a season are shown.

0.120 0.215 0.240 0.283 0.175 0.160 0.220 0.302 0.254 0.193

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6. The heights of ten buildings in a city, in feet, are shown.

102 54 76 95 250 37 65 48 27 85

For each data set, use your calculator or the random digit table below to generate four random numbers between 1 and 10. Then use the numbers you generated to create a random sample of four from the data set.

Random Digit Table

Line 1 65285 97198 12138 53010 94601 15838 16805 61004 43516 17020

Line 2 17264 57327 38224 29301 31381 38109 34976 65692 98566 29550

Line 3 95639 99754 31199 92558 68368 04985 51092 37780 40261 14479

Line 4 61555 76404 86210 11808 12841 45147 97438 60022 12645 62000

Line 5 78137 98768 04689 87130 79225 08153 84967 64539 79493 74917

Line 6 62490 99215 84987 28759 19177 14733 24550 28067 68894 38490

Line 7 24216 63444 21283 07044 92729 37264 13211 37485 10415 36457

Line 8 16975 95428 33226 55903 31605 47517 22250 03918 46999 98501

Line 9 59138 39542 71168 57609 91510 77904 74244 50940 31553 62562

Line 10 29478 59652 50414 11966 87912 87154 12944 49862 96566 48825

Line 11 96155 95009 27429 72918 08457 78134 48407 26061 58754 05326

Line 12 29621 66583 62966 12468 20245 14015 04014 35713 03980 03024

Line 13 12639 75291 71020 17265 41515 64074 64629 63293 53307 48766

Line 14 14544 37134 54714 02401 63228 26831 19386 15457 17999 18306

Line 15 83403 88827 09834 11333 68431 31706 26652 04711 34593 22561

Line 16 67642 05204 30697 44806 16989 68405 85621 45556 35434 09532

Line 17 64041 99011 14610 40273 09482 65864 01573 82274 81446 32477

Line 18 17048 94523 97444 59994 16515 39364 97551 65629 63932 03091

Line 19 93039 89416 52795 10631 09728 68202 20963 02477 55494 39563

Line 20 82244 34392 96607 17226 51984 10753 76272 50985 97593 34320

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7. Each doctor in a town is given a phone number that ends in the digits 0001 through 0010.

Phone

Number0001 0002 0003 0004 0005 0006 0007 0008 0009 0010

Doctor’s

NameThomas Easton Wu Rodriguez Pasles Farris Shea Wong Price Siegelman

Answers will vary. Sample answer: 0002, 0003, 0008, 0010 Easton, Wu, Wong, Siegelman

8. Each contestant participating in a contest is assigned a number.

Contestant Number 1 2 3 4 5 6 7 8 9 10

Contestant’s Name Lia Joe Ariel Jess Victor Roberto Wen Anita Mia Ana

9. Ten students record the number of times a coin is flipped until it lands on heads.

Trial Number 1 2 3 4 5 6 7 8 9 10

Number of Flips 1 1 1 2 3 4 1 5 2 1

10. A factory worker records the weights, in ounces, of the first ten bolts that he manufactured.

Bolt Number 1 2 3 4 5 6 7 8 9 10

Weight 2.1 2.2 2.3 2.4 2.2 2.1 2.3 2.1 2.2 2.1

11. The prices of cars at ten different dealerships are shown.

Dealership 1 2 3 4 5

Price 24,500 32,000 27,750 23,450 26,875

Dealership 6 7 8 9 10

Price 66,000 22,750 23,650 24,735 37,500

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12. A coach records the heights of players on her softball team, in meters.

Player 1 2 3 4 5 6 7 8 9 10

Height 1.8 1.5 1.6 1.6 2.2 1.3 1.7 1.8 2.0 2.1

In Exercises 13 through 18, use the given data set to create a stratified random sample of the specified size. Explain the criteria by which you selected your sample.

13. The data set below shows the highest temperature recorded for select cities on

different continents.

Highest Temperature Recorded

North America Europe Asia Africa

81 95 94 101

92 81 86 96

90 102 92 103

104 98 97 94

87 87 107 98

111 103 91 107

76 92 102 97

94 97 97 98

95 100 93 112

89 96 88 96

a. Create a stratified random sample of 4 temperatures.

Sample answer: {81, 103, 97, 98}; I randomly chose one temperature from each of the four continents.

b. Create a stratified random sample of 8 temperatures.

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14. The data set below shows the number of books read by the students in four different

English classes.

Number of Books Read in Each Teacher’s Class

Mr. James Ms. Farley Mr. Nguyen Ms. Razali

2 0 3 8

4 6 12 0

3 2 8 4

11 13 8 0

2 8 4 15

7 6 4 8

2 3 9 0

11 12 4 14

0 3 1 6

8 2 0 6

a. Create a stratified random sample with 12 data values to describe the number of

books read by the students.

b. Create a stratified random sample with 16 data values to describe the number of

books read by the students.

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15. The data set below shows the number of cars crossing an intersection every hour for

8 hours during 4 days.

Number of Cars Crossing an Intersection

Day 1 Day 2 Day 3 Day 4

124 234 184 192

213 249 253 268

276 281 279 264

302 321 314 319

354 342 349 368

312 324 313 305

297 284 287 279

251 264 255 256

a. Create a stratified random sample with 16 data values to describe the number of

cars crossing the intersection hourly.

b. Create a stratified random sample with 24 data values to describe the number of

cars crossing the intersection.

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16. A group of five doctors takes turns volunteering in a hospital. Each doctor volunteers

for a period of eight days, and then it is the next doctor’s turn. The data set below

shows the number of patients that each doctor saw during their volunteer period.

Number of Patients Seen

Dr. Kim Dr. Rodriguez Dr. Lao Dr. Woods Dr. Morena

16 18 13 19 17

15 16 17 18 16

21 23 24 19 21

26 27 24 29 28

24 23 19 26 23

27 28 26 24 27

13 15 17 16 14

18 16 14 17 18

a. Create a stratified random sample with 5 data values to describe the number of

patients seen daily.

b. Create a stratified random sample with 15 data values to describe the number of

patients seen.

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17. The data set below shows the amounts of recycled material collected, in pounds, from

six different neighborhoods each month for four months.

Recycled Material Collected from Six Neighborhoods (in pounds)

Arlington Sylvia Burns Beaverton Bayview Hillsdale

426 482 431 324 274 134

435 324 521 675 184 162

425 398 425 573 234 176

441 436 486 543 246 186

a. Create a stratified random sample with 12 data values to describe the amount of

recycled material collected monthly.

b. Create a stratified random sample with 18 data values to describe the amount of

recycled material collected.

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18. The data set below shows the number of people who visit a soup kitchen on certain days.

Number of People Who Visit a Soup Kitchen

Monday Wednesday Friday Sunday

42 56 86 112

43 57 87 124

49 52 92 126

48 61 93 118

38 57 96 116

46 53 87 117

41 48 86 128

48 52 87 127

a. Create a stratified random sample with 16 data values to describe the number of

daily visitors to the soup kitchen.

b. Create a stratified random sample with 20 data values to describe the number of

daily visitors to the soup kitchen.

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Create two different clustered samples for each data set. Explain the criteria by which you selected each sample.

19. Weights of Polar Bears at Three Zoos (in pounds)

Bronx Zoo San Diego Zoo Philadelphia Zoo

875 892 884

1295 1216 1237

1416 1375 1384

The weights from any one (or two) of the zoos are acceptable as a clustered sample.

Example: {892, 1216, 1375}. I chose the weights of all the polar bears in the San Diego Zoo.

Example: {884, 1237, 1384}. I chose the weights of all the polar bears in the Philadelphia Zoo.

20. Attendance at a Movie Theatre on Three Weekdays

Monday Tuesday Wednesday

134 94 112

142 134 141

197 213 206

223 227 216

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21. Length of Time of Games for Four Baseball Teams (in minutes)

Pirates A’s Rays Bulldogs

116 123 124 108

124 126 122 123

137 136 142 129

128 126 127 128

153 148 153 149

22. Students’ Scores on Math Tests

Hugo Miriam Anastasia Nick

85 79 82 83

78 76 72 79

69 72 71 67

82 86 78 84

73 75 72 71

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23. Number of Daily Customers for a Bank

Week 1 Week 2 Week 3 Week 4 Week 5

123 145 94 113 127

93 88 96 102 94

94 104 93 97 89

154 174 163 164 173

213 197 204 192 216

24. Daily Prices of a Stock on Each Weekday over 5 Weeks

Week 1 Week 2 Week 3 Week 4 Week 5

2.89 2.77 3.21 2.42 0.69

3.81 4.09 4.66 1.77 1.35

1.48 1.82 1.07 0.96 1.10

3.86 0.98 4.56 3.52 3.33

2.27 3.70 2.59 0.91 1.71

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Determine the type of sampling technique being used in each situation. Choose from simple random sampling, cluster sampling, stratified sampling, systematic sampling, subjective sampling, convenience sampling, or volunteer sampling.

25. A teacher chooses the first student in each row to do a math problem at the board.

systematic sampling

26. A physical education teacher chooses the five students with the best times in a

cross country event.

27. A principal randomly chooses eight student ID numbers to participate in a survey.

28. A teacher chooses students with their hands in the air to put problems on the board.

29. A principal chooses the first 12 students into the auditorium to help pass out programs.

30. A teacher chooses her favorite 8 problems from the lesson to demonstrate to the class.

Determine whether each study has a source of bias. If so, describe the bias and explain why the bias makes the sample unrepresentative.

31. A survey is mailed to voters in Albany asking “Will you vote for the sales tax

increase in Albany?”

There is no bias in this study.

32. A survey is mailed to voters in Albany who make more than $100,000 a year asking,

“Will you vote for the sales tax increase in Albany?”

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33. A medical company uses healthy patients to test their drugs for side effects.

34. A medical company uses sick patients to test their competitors’ drugs for

side effects.

35. A poll by the Department of Education is conducted online that asks, “Do you have

a computer at home?”

36. A survey that measures the popularity of a magazine is inserted into the magazine

asking, “Do you like this magazine?”

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Skills Practice Skills Practice for Lesson 16.2

Name _____________________________________________ Date ____________________

Surveys and Studies and Experiments, Oh My!Surveys, Studies, and Experiments

VocabularyProvide an example of each term.

1. sample survey

2. observational study

3. experiment

4. treatment

5. experimental unit

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6. confounding

Problem SetClassify each situation as a sample survey, an observational study, or an experiment. Explain your reasoning.

1. A teacher wanted to know if students who study for more than two hours for a test

will get a better grade on the test than students who study for two hours or less.

She asks her students to log their study time for the test. She gathers data from

three classes taking the test.

This is an observational study since the teacher did not try to influence the data.

2. One hundred middle school math students are randomly divided into two groups,

one in which a 4-function calculator is used at all times and one in which a

4-function calculator is never used. The principal wants to determine if student

grades are higher if they can always use a calculator.

3. To determine if there is a link between environmental factors and cancer in women,

researchers examined the rate of cancer for 10,000 women who are sisters of

previous cancer patients. The researcher asked the women to respond to 50

questions about their environment as they were growing up.

4. A medical researcher who wants to test the efficacy of a drug on humans divides

1000 volunteers into two groups, one which will receive the drug, and one which

will receive a placebo (a treatment not including the drug being tested).

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5. To determine if there is a link between the number of hours a student oversleeps

and student grades, a teacher asked 125 students to track the number of minutes

they oversleep each day for a month.

6. A medical researcher who wants to see if there is a link between the weight of a

patient and the patient’s blood pressure asks 100 doctors to track the weight and

blood pressure of one-half of their patients who are randomly chosen and answer

specific questions about each patient.

For each situation, identify the population, the sample, and the characteristic of interest.

7. A teacher wanted to know if students who study for more than two hours for a test

will get a better grade on the test than students who study for two hours or less.

She asks her students to log their study time for the test. She gathers data from

three classes taking the test.

The population is students. The sample is the students in three classes. The characteristic is the link between study time and performance on the test.

8. One hundred middle school math students are randomly divided into two groups,

one in which a 4-function calculator is used at all times and one in which a

4-function calculator is never used. The principal wants to determine if student

grades are higher if they can always use a calculator.

9. To determine if there is a link between environmental factors and cancer in women,

researchers examined the rate of cancer for 10,000 women who are sisters of

previous cancer patients. The researcher asked the women to respond to 50

questions about their environment as they were growing up.

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10. A medical researcher who wants to test the efficacy of a drug on humans divides

1000 volunteers into two groups, one which will receive the drug, and one which

will receive a placebo (a treatment not including the drug being tested).

11. To determine if there is a link between the number of hours a student oversleeps

and student grades, a teacher asked 125 students to track the number of minutes

they oversleep each day for a month.

12. A medical researcher who wants to see if there is a link between the weight of a

patient and the patient’s blood pressure asks 100 doctors to track the weight and

blood pressure of one-half of their patients who are randomly chosen and answer

specific questions about each patient.

Determine an unbiased question for each survey that is worded so that it can be answered accurately.

13. A news station wants to conduct a survey to determine what percent of city

residents support a new law to ban texting while driving.

Answers will vary. Sample answer: If you use a cell phone while driving, would you support a new law to ban texting while driving?

14. A science teacher wants to conduct a survey to determine how often students wear

safety goggles while using a Bunsen burner.

15. A medical research group wants to conduct a survey to determine how many

women over 50 have high blood pressure.

16. A principal of a high school wants to conduct a survey to determine what percent

of students participate in two or more school sports per year.

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17. A band student parent group wants to conduct a survey to determine what percent

of parents are willing to sponsor the purchase of new instruments.

18. A school board wants to conduct a survey of city residents to see if they would

support a decrease in funding for sophomore sports.

Explain how confounding could have occurred for each observational study.

19. A teacher wanted to know if students who use graphing calculators use programs

to help them evaluate formulas. She asks her students whether they use graphing

calculator programs to evaluate formulas. She gathers data from three classes.

The concern is if students write their own programs as opposed to using professionally developed ones to evaluate formulas. If students write their own, they may not know the correct steps for evaluating formulas.

20. To determine if there is a link between eating breakfast and student grades, a

teacher asked 125 students to track the number of days each week for a month

that they eat breakfast before coming to school.

21. A parent-teacher group wants to see if there is a link between the occupation of a

parent and the level of participation in volunteer activities that the group sponsors. They

send a letter to parents of 300 random students in the school and ask them to list their

occupation and level of participation in volunteer activities sponsored by their group.

22. A study conducted by the owner of an art school wants to know if the total

enrollment in his weekday classes will increase if he drops the canvas fee.

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23. A study used by a news agency wants to know if there is link between the income

level in a family and whether they have a parent in a nursing home.

24. A politician wants to see if there is a link between the income level of his

constituents and the amount of money they are willing to contribute to his campaign.

Identify the treatments in each experiment. Then determine how the differences in treatments can be analyzed and interpreted in order to draw a conclusion.

25. One hundred geometry students are randomly divided into 4 classes – one in which

a drawing program is used at all times to draw geometric shapes and one in which

a drawing program is never used. The department chair wants to determine if

students’ geometry grades are higher if they have to draw a geometric figure with a

drawing program.

There are two treatments. One uses a drawing program and the other does not. The differences in treatments were analyzed by recording the grades for specific tests that included analyzing geometric figures and then comparing the grades on the tests.

26. Sixty juniors are randomly chosen and divided into two groups – one in which

all students participate in an extra-curricular activity and the other in which no

students participate in an extra-curricular activity. The Student Council sponsor

wants to determine if student grades are higher at the end of the year if students

participated in an extra-curricular activity during the school year.

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27. Five hundred people are randomly chosen from the community and divided into

two groups – one which will focus on the effects of being on a prescribed high-protein,

low fat diet for six months and the other on the effects of not being on that diet.

The manufacturer of the diet wants to see if the diet results in a significant weight

loss for its participants.

28. To determine if there is a link between the use of an acne medicine and weight

loss, the manufacturer of the medicine asks 100 doctors who prescribe the

medicine to record the weight before prescribing the medicine and then after their

patients have been on the medicine for six months. The manufacturer also asks

the same doctors to record the weight of 100 patients who are not on the medicine

both at the beginning and at the end of the six-month period.

29. A medical researcher who wants to determine how a drug is processed in the liver

divides 100 mice into two groups – one that will receive the drug, and one that will

receive a placebo (a treatment not including the drug being tested).

30. Three hundred 30-year olds are randomly chosen and divided into three groups – one

in which all participants received a four-year college degree, a second in which all

participants received a two-year college degree, and the third in which no participant

had a college education. The focus group for a college wants to determine how the

income level of each group is related to the number of years of college.

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Skills Practice Skills Practice for Lesson 16.3

Name _____________________________________________ Date ____________________

Do It YourselfDesigning and Collecting Data Using a Survey, Study, or Experiment

Problem SetEach of the following questions is best answered by a survey, a study, or an experiment. Identify the best method to use. Then explain how you would obtain a random sample and why the technique you chose is appropriate.

1. You want to determine the average income of public school teachers in a certain city.

Answers will vary. Sample answer: a study. Assign each public school teacher an ID number and use a computer to randomly generate a sample of teachers. This technique provides a random sample of the population of teachers in the city, and random sampling is typically representative of a population.

2. You want to compare the average income of male and female public school

teachers in a certain city.

3. A company wants to determine whether their drugs are harmful to people in the

following age groups: 0–10, 11–21, 22–35, and 40 and above.

4. A company wants to determine whether their drugs are harmful to people in a

certain vicinity.

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5. A university wants to study the economy of towns that have a heavy drug

presence, but they can only study three towns.

6. A local hospital wants to compare the effects of drugs on people in the age groups

14 –17 and 18 –23.

For each survey, observational study, or experiment, determine which of the following sampling techniques would be the most appropriate: random sampling, stratified random sampling, or clustered sampling. Then explain how you would obtain a sample and why the technique you chose is appropriate.

7. A newspaper wants to determine which areas of town have the least number of

subscriptions.

Sample answer: stratified random sampling; Divide the population of the town into groups according to their geographic location (possibly north, south, east, west), and randomly select members from each group. This technique provides a random sample from all areas of town. Random sampling is typically representative of a population.

8. You want to estimate the number of people in your school who are vegetarians.

9. You want to determine whether 9th graders or 11th graders are more likely to be

vegetarians.

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10. A political campaign can only visit three neighborhoods. They want to see how well

liked their candidate is.

11. Health and Human Services wants to count the number of homeless people in a

town. They only have enough counters to cover one-fifth of the town.

12. A manufacturer wants to test the taste of their frozen vegetables as the bags of

vegetables come out of a freezer.

Determine the population of interest in each situation.

13. You want to determine the average income of public school teachers in a certain city.

The population of interest is all public school teachers in the city.

14. You want to compare the average income of male and female public school

teachers in a certain city.

15. A company wants to determine whether their drugs are harmful to people in the

following age groups: 0–10, 11–21, 22–35, and 40 and above.

16. A company wants to determine whether their drugs are harmful to people in a

certain vicinity.

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17. A university wants to study the economy of towns that have a heavy drug

presence, but they can only study three towns.

18. A local hospital wants to compare the effects of drugs on people in the age groups 14–17

and 18–23.

Determine the characteristic of interest in each situation.

19. You want to determine the average income of public school teachers in a certain city.

The characteristic of interest is the average income of public school teachers in a certain city.

20. You want to compare the average income of male and female public school

teachers in a certain city.

21. A company wants to determine whether their drugs are harmful to people in the

following age groups: 0–10, 11–21, 22–35, and 40 and above.

22. A company wants to determine whether their drugs are harmful to people in a

certain vicinity.

23. A university wants to study the economy of towns that have a heavy drug

presence, but they can only study three towns.

24. A local hospital wants to compare the effects of drugs on people in the age groups

14–17 and 18–23. Determine the characteristic of interest as if the researcher did

not specify the length of time the doctor had treated the patient.

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Identify and explain any possible sources of bias in the given situation.

25. A cell phone company wants to know how many times adults typically use

text-messaging in one month. The company asks a random sample of adults

that subscribe to their cell phone service, “How many times did you text-message

last month?”

Answers will vary. Sample answer: The sample is biased because they only asked adults that use their cell phone service, and this may not be representative of the adult population using cell phones. It is also biased because “last month” may have been a month with an atypical volume of cell-phone usage.

26. A principal wants to know if students should be allowed to use cell phones while

in the classroom. She surveys one math class to see how many students have cell

phones and asks them how they could use their cell phones to improve instruction.

27. A principal wants to know if students should be allowed to use graphing calculators

in the classroom. She surveys one English class and asks, “How do you use a

graphing calculator to improve instruction?”

28. A teacher wants to know how students use graphing calculators while in the

classroom. She asks volunteers for suggestions.

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29. A principal wants to know which topics students need to discuss with her. She

sends out a survey to 1000 students. Only 25 respond.

30. The teacher wants to know how many hours are spent reading each week. She asks

the first 10 students who pass her room, “How many hours do you spend reading

each week?”

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Skills Practice Skills Practice for Lesson 16.4

Name _____________________________________________ Date ____________________

Numbers, Graphs, and ConclusionsInterpreting Results and Drawing Conclusions from a Survey, Study, or Experiment

Problem SetCreate a dot plot for each set of data.

1. The following data represent the number of home runs hit by baseball players.

17, 12, 16, 21, 19, 15, 16, 22, 12, 21, 19, 18, 12, 15, 17

11 12 13 14 15 16 17

Number of Home Runs Hit18 19 20 21 22 23

2. The following data represent the salaries in thousands of dollars of employees in a company.

38, 40, 32, 41, 40, 31, 30, 41, 39, 39, 30, 42, 31, 31, 32

3. The following data represent the heights in inches of people in an aerobics class.

70, 69, 65, 60, 62, 64, 73, 65, 66, 60, 66, 65

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4. The following data represent the number of hours that employees at a restaurant

worked last week.

22, 35, 40, 42, 24, 36, 40, 30, 40, 38, 22, 36, 40, 40, 42, 40, 35, 24

5. The following data represent the lengths in inches of fish in an aquarium.

20, 22, 20, 19, 14, 12, 18, 20, 14, 21, 20, 15, 19, 14, 19, 19, 21, 12, 20, 21, 22

6. The following data represent students’ English test scores.

77, 94, 89, 86, 90, 68, 95, 91, 90, 89, 77, 79, 82, 68, 90, 91, 86, 87, 89, 90, 90

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Create a histogram for each set of data.

7. The following data represent the number of home runs hit by baseball players.

17, 12, 16, 21, 19, 15, 16, 22, 12, 21, 19, 18, 12, 15, 17

11–15

2

4

6

8

16–20 21–25

Number of Home Runs Hit

Nu

mb

er o

f P

eop

le

8. The following data represent the salaries in thousands of dollars of employees in a

company. 38, 40, 32, 41, 40, 31, 30, 41, 39, 39, 30, 42, 31, 31, 32

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9. The following data represent the heights in inches of people in an aerobics class.

70, 69, 65, 60, 62, 64, 73, 65, 66, 60, 66, 65

10. The following data represent the number of hours that employees at a restaurant

worked last week. 22, 35, 40, 42, 24, 36, 40, 30, 40, 38, 22, 36, 40, 40, 42, 40, 35, 24

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11. The following data represent the lengths in inches of fish in an aquarium. 20, 22,

20, 19, 14, 12, 18, 20, 14, 21, 20, 15, 19, 14, 19, 19, 21, 12, 20, 21, 22

12. The following data represent students’ English test scores. 77, 94, 89, 86, 90, 68,

95, 91, 90, 89, 77, 79, 82, 68, 90, 91, 86, 87, 89, 90, 90

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Create a stem-and-leaf plot for each set of data.

13. The following data represent the number 14. The following data represent the salaries

of home runs hit by baseball players. in thousands of dollars of employees

17, 12, 16, 21, 19, 15, 16, 22, 12, 21, in a company. 38, 40, 32, 41, 40, 31,

19, 18, 12, 15, 17 30, 41, 39, 39, 30, 42, 31, 31, 32

Number of Home Runs Hit

1 2 2 2 5 5 6 6 7 7 8 9 9

2 1 1 2

2⏐1 = 21 Runs

15. The following data represent the heights 16. The following data represent the number

in inches of people in an aerobics class. of hours that employees at a restaurant

70, 69, 65, 60, 62, 64, 73, 65, 66, 60, worked last week. 22, 35, 40, 42, 24, 36, 40,

66, 65 30, 40, 38, 22, 36, 40, 40, 42, 40, 35, 24

17. The following data represent the lengths 18. The following data represent students’

in inches of fish in an aquarium. 20, 22, 20, English test scores. 77, 94, 89, 86, 90, 68,

19, 14, 12, 18, 20, 14, 21, 20, 15, 19, 14, 95, 91, 90, 89, 77, 79, 82, 68, 90, 91,

19, 19, 21, 12, 20, 21, 22 86, 87, 89, 90, 90

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Create a box-and-whisker plot for each set of data.

19. The following data represent the weights in pounds of 12 players on a football team.

220, 244, 185, 261, 243, 225, 273, 282, 176, 190, 208, 214

minimum: 176, first quartile: 199, median: 222.5, third quartile: 252.5, maximum: 282

20. The following data shows the amounts of annual snowfall in inches for 10 northeastern

U.S. cities.

43, 32, 56, 128, 85, 96, 46, 122, 100, 68

21. The following data shows the average daily low temperatures in degrees Fahrenheit for

15 U.S. cities.

60, 44, 54, 50, 59, 53, 48, 46, 55, 56, 59, 52, 49, 55, 51

22. The following data shows the heights in feet of 11 trees in a forest.

41, 30, 22, 16, 28, 32, 27, 46, 39, 35, 20

250 260 270 280 290 300170

176 199 222.5 252.5 282

180 190 200 210 220 230 240

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23. The following data represent the total number of points scored by the 11 players on

a basketball team.

12, 28, 11, 2, 17, 5, 20, 26, 7, 2, 18

24. The following data represent the ages of 13 students in an adult karate class.

26, 35, 45, 22, 23, 30, 26, 47, 33, 35, 40, 32, 51

Determine the mean, median, and mode of each data set. Tell if the data is symmetric.

25. The following data represent the amounts of time in minutes that it takes nine

different people to get to work.

15, 20, 30, 10, 55, 45, 25, 20, 30

Mean � 27.78

Median � 25

Modes � 20, 30

Symmetry: not symmetric

26. The following data represent the long jump distances in feet of 12 participants

in a track meet.

19.9, 22.1, 18.5, 20.4, 20.8, 21.3, 19.2, 20.1, 21.0, 15.2, 20.0, 21.6

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27. The following data represent the fuel efficiencies in miles per gallon of 8 cars at a

dealer. 20, 16, 32, 30, 28, 25, 24, 32

28. The following data represent the prices in dollars of 11 shirts in a store.

20, 35, 40, 20, 15, 20, 30, 25, 20, 40, 35

29. The following data represent the lengths in inches of 10 fish in an aquarium.

3, 6, 8, 11, 9, 5, 7, 6, 8, 10

30. The following data represent the number of extra-credit points earned by

14 students in a science class.

10, 15, 0, 15, 0, 5, 10, 20, 15, 0, 5, 10, 0, 0

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Determine the standard deviation and the quartiles of each data set.

31. The following data represent the amounts of time in minutes that it takes nine

different people to get to work.

15, 20, 30, 10, 55, 45, 25, 20, 30

Standard deviation: 14.39

Quartile 1: 17.5

Quartile 2: 25

Quartile 3: 37.5

32. The following data represent the long jump distances in feet of 12 participants in a

track meet.

19.9, 22.1, 18.5, 20.4, 20.8, 21.3, 19.2, 20.1, 21.0, 15.2, 20.0, 21.6

33. The following data represent the fuel efficiencies in miles per gallon of 8 cars

at a dealer.

20, 16, 32, 30, 28, 25, 24, 32

34. The following data represent the prices in dollars of 11 shirts in a store.

20, 35, 40, 20, 15, 20, 30, 25, 20, 40, 35

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35. The following data represent the lengths in inches of 10 fish in an aquarium.

3, 6, 8, 11, 9, 5, 7, 6, 8, 10

36. The following data represent the number of extra-credit points earned by

14 students in a science class.

10, 15, 0, 15, 0, 5, 10, 20, 15, 0, 5, 10, 0, 0

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