,Solution manual for Understanding Basic Statistics
9th Edition Charles Henry Brase
Notes
1- The file is chapter after chapter.
2- We have shown you few pages sample.
3- The file contains all Appendix and Excel
sheet if it exists.
4- We have all what you need, we make
update at every time. There are many
new editions waiting you.
5- If you think you purchased the wrong file
You can contact us at every time, we can
replace it with true one.
Our email:
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
Solution and Answer Guide
Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
TABLE OF CONTENTS
Section 1.1 ................................................................................................................................... 1
Section 1.2 ................................................................................................................................... 2
Section 1.3 ................................................................................................................................... 4
CHAPTER REVIEW PROBLEMS ................................................................................................ 5
SECTION 1.1
1. Individuals are people or objects included in the study, whereas a variable is a characteristic of
the individual that is measured or observed.
2. Nominal data are always qualitative.
3. A parameter is a numerical measure that describes a population. A statistic is a numerical value
that describes a sample.
4. If population does not change, the values of the parameters will not change. Thus, for a fixed
population, parameter values are constant. If we take three samples of the same size from a
population, the values of the sample statistics will almost surely differ.
5. (a) These numerical assignments are at the nominal level. There is no apparent ordering in the
responses.
(b) These numerical assignments are at the ordinal level. There is an increasing relationship
between worst to best levels of service. These assignments are not at the interval or ratio
level. The distances between numerical responses are not meaningful. The ratios are also
not meaningful.
6. Lucy’s observations do not apply to all adults; they apply only to her friends. Since the sample is
not random, we cannot draw any conclusions about a larger group using these data.
7. (a) Meal ordered at fast-food restaurants.
(b) Qualitative.
(c) All U.S. adult fast-food consumers.
8. (a) Miles per gallon.
(b) Quantitative.
(c) All new small hybrid cars.
9. (a) Nitrogen concentration (milligrams of nitrogen per liter of water).
(b) Quantitative.
(c) Nitrogen concentration (milligrams of nitrogen per liter of water) in the entire lake.
10. (a) Number of ferromagnetic artifacts per 100 square meters.
(b) Quantitative.
© 2024 Cengage. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible 1
website, in whole or in part.
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
(c) The entire Tara region.
11. (a) Ratio. (b) Interval. (c) Nominal. (d) Ordinal. (e) Ratio. (f) Ratio.
12. (a) Ordinal. (b) Ratio. (c) Nominal. (d) Interval. (e) Ratio. (f) Nominal.
13. (a) Nominal. (b) Ratio. (c) Interval. (d) Ordinal. (e) Ratio. (f) Interval.
14. Form B is better. Statistical methods can be applied to the ordinal data obtained from Form B but
not to the open-response answers obtained from Form A.
15. (a) Answers vary. Ideally, weigh the packs in pounds using a digital scale that has tenths of
pounds foraccuracy.
(b) Some students may refuse to have their backpacks weighed.
(c) Informing students before class may cause students to remove items before class.
SECTION 1.2
1. In stratified samples, we select a random sample from each stratum. In cluster sampling, we
randomly select clusters to be included, and then each member of the cluster is sampled.
2. In simple random samples, every sample of size n has an equal chance of being selected. In a
systematic sample, the only possible samples are those including every kth member of the
population with respect to the random starting position.
3. Sampling error is the difference between the value of the population parameter and the value of
the sample statistic that stems from the random selection process. The term is being used
incorrectly here. Certainly larger boxes of cereal will cost more than smaller boxes of cereal.
4. The sample frame consists of all students who use the college recreation center. The sample
frame does not include all students enrolled in the college since some students may not use the
center.
5. No. Even though the sample is random, some students younger than 18 or older than 20 may not
have beenincluded in the sample.
6. No. A random sample could include only music majors.
7. (a) Stratified.
(b) No. Each pooled sample would have 100 season ticket holders for men’s basketball games
and 100 season ticket holders for women’s games. Samples with, for example, 125 and 75
tickets holders, respectively, are not possible.
8. (a) Yes. Every student has a 50% chance of being selected.
(b) It is not possible based on this method of selecting students. Since every sample of size 20 is
not possible, this is not a simple random sample.
(c) Assign numbers 1, 2, . . , 40 to the students and use a random-digit table or a computer
package to draw random numbers.
9. Simply use a random digits table or a computer package to randomly select four students from the
class.
(a) Answers vary. Perhaps they are excellent students who make an effort to get to class early.
(b) Answers vary. Perhaps they are busy students who are never on time to class.
(c) Answers vary. Perhaps students in the back row are introverted.
(d) Answers vary. Perhaps taller students are healthier.
10. (a) Students who are absent from class on Monday cannot be included in the sample.
© 2024 Cengage. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible 2
website, in whole or in part.
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
(b) Homeschooled students, students who dropped out, or homeless students cannot be
included in the sample.
11. Answers vary.
12. Answers vary.
13. Answers vary.
14. Answers vary. One possibility is to use 0, 1, 2, 3, and 4 to indicate heads and 5, 6, 7, 8, and 9 to
indicate tails.
15. (a) Yes, it is appropriate, as a number can repeat itself once it has occurred. The outcome on
the fourth roll is 2.
(b) We will most certainly not get the same sequence of outcomes. The process is random.
16. Answers vary. We do expect at least one match on birthdays over 50% of the time we run
this experiment.
17. Answers vary. Use single digits in the table to determine the placement of correct answers.
18. Answers vary. The test key would be a random arrangement of True and False responses.
19. (a) Simple random sampling. Every sample of size n from the population has an equal
chance of being selected, and every member of the population has an equal chance of
being included in the sample.
(b) Cluster sampling. The state, Hawaii, is divided into zip codes. Then, within each of the 10
selected zip codes, all businesses are surveyed.
(c) Convenience sampling. This technique uses results or data that are conveniently and readily
obtained.
(d) Systematic sampling. Every fiftieth business is included in the sample.
(e) Stratified sampling. The population was divided into strata based on the business type. Then
a simple random sample was drawn from each stratum.
20. (a) Stratified sampling. The population was divided into strata (four categories of length of
hospital stay), and then a simple random sample was drawn from each stratum.
(b) Simple random sampling.
(c) Cluster sampling. There are five geographic regions, and some facilities from each region are
selected randomly. Then, for each selected facility, all patients on the discharge list are
surveyed to create patient satisfaction profiles.
(d) Systematic sampling. Every 500th patient is included in the sample.
(e) Convenience sampling.
© 2024 Cengage. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible 3
website, in whole or in part.
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
SECTION 1.3
1. Answers vary. For instance, some people may have a career following their passion, but with low
income or a long commute. Others might be very satisfied with their career as long as the income
is high. One-way commute times may be long because affordable housing is distant from the job.
A working spouse could affect all three variables.
2. A double-blind procedure would entail neither the patients nor those administering the treatments
knowing which patients received which treatments. This process should eliminate potential bias
from the treatment administrators and from patient psychology regarding benefits of the drug.
3. No, the respondents do not constitute a random sample from the community for a number of
reasons. For instance, the sample frame includes only those at the farmers’ market, and Charlie
may not have approached people with large dogs or those who were busy, and participation was
voluntary. Charlie’s T-shirt may have influenced responses.
4. No, the pooled sample had a fixed number of students from each block.
5. (a) No, those aged 18 to 29 in 2006 became aged 20 to 31 in 2008. The study is looking at the
same generation.
(b) 1977 to 1988, inclusive.
6. By 2020, the Echo generation will be aged 32 to 43, and their perception of items as necessities
or luxuries might well have changed by then.
7. (a) This is an observational study. The data collection method did not influence the outcome.
(b) This is an experiment. A treatment was imposed on the sheep in order to prevent heartworm.
(c) This is an experiment. The restrictions on fishing possibly led to a change in the length of
trout in the river.
(d) This is an observational study. The data were collected without influencing the turtles.
8. (a) Sampling. (b) Simulation. (c) Census. (d) Experiment.
9. (a) Use random selection to select ten calves to inoculate with the vaccine. After a period of time,
test all calves for the infection. No placebo is being used.
(b) Use random selection to select nine schools to visit. After 10 weeks, survey students in all 18
schools for their views on police officers. No placebo is being used.
(c) Use random selection to select 40 subjects to use the skin patch. A placebo is used for the
other 35 subjects. At the end of the trial, survey all 75 subjects about their smoking habits.
10. (a) “Over the last few years” could mean 2 years, 3 years, 7 years, and so on. A more precise
phrase is “Over the past 5 years.”
(b) If a respondent is first asked, “Have you ever run a stop sign,” chances are that their
response to the question, “Should fine be doubled?” will change. Those who run stop signs
probably don’t want the fine to double.
(c) Answers vary.
11. Based on the information, scheme A will be better because it blocks all plots bordering the river
together and all plots away from the river together. The blocks of Scheme B do not seem to differ
from each other.
© 2024 Cengage. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible 4
website, in whole or in part.
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
CHAPTER REVIEW PROBLEMS
1. Because of the requirement that each number appear only once in a given row, column, or box, it
would be very inefficient to use a random-number table to select the numbers. It’s better to simply
look at existing numbers, list possibilities that meet the requirement, and eliminate numbers that
don’t work.
2. Alisha’s study has some problems, and the results will be anecdotal. For instance, it is not clear
that the puzzles Alisha wants to download are all at the same difficulty level. Alisha’s friends who
are willing to participate will likely have different levels of experience with the puzzles. Alisha’s
friends are also volunteers, and the self-timing may lead to inaccurate measurements.
3. (a) Stratified.
(b) Students on your campus with work-study jobs.
(c) Number of hours scheduled to work each week; Quantitative; Ratio.
(d) Applicability to future employment goals, as measured by the scale given; Qualitative;
Ordinal.
(e) Statistic.
(f) The nonresponse rate is 60%, and yes, this could introduce bias into the results. Answers
vary.
(g) No, since the students were only drawn from one campus, then the results of the study would
only generalize to that campus if the data were collected using randomization.
4. The implied population is all the listeners (or even all the voters). The variable is the voting
preference of a caller. There is probably bias in the selection of the sample because those with
the strongest opinions are most likely to call in.
5. Assign the digits so that 4 out of the 10 digits 0 through 9 correspond to the result “Does” and 6 of
the digits correspond to the result “Does not” involve existing credit card accounts. One assignment
is digits 0, 1, 2, 3 correspond to “Does” while the remaining digits, 4, 5, 6, 7, 8, 9, correspond to
“Does not” involve such accounts. Starting with line 1, block 1 of Table 1, the sequence gives “Does
not,” “Does,” “Does not,” “Does,” “Does,” “Does not,” “Does not.” We cannot necessarily expect
another simulation to give the same result. The results depend on the response assigned to the
digits and the section of the random number table used.
6. (a) Cluster. (b) Convenience. (c) Systematic. (d) Random. (e) Stratified.
7. (a) This was an observational study because the researchers did not apply a treatment.
(b) This was an experiment because the two groups were given different tests and the results
were compared.
© 2024 Cengage. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible 5
website, in whole or in part.
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
8. (a) Randomly select 500 donors to receive the literature and 500 donors to receive the phone
call. After the donation collection period, compare the percentage who donated from each of
the two treatment groups. A placebo is not being used.
(b) Randomly select the 43 adults to be given the treatment gel and the 42 adults to receive the
placebo gel. After the treatment period, compare the whiteness of the two groups. To make
this double blind, the treatment administrators, whiteness evaluators, and patients would not
know which gel the patients are receiving.
(c) Before assigning donors to the literature or the phone call, first block them into the three age
groups. In each age group, randomly select half to receive the literature and half to receive
the phone call. Compute percentages of donors in each group for each block. Compare the
amounts received within each block.
9. Answers vary. Questions should be worded in a clear, concise, and unbiased manner. No
questions should bemisleading. Commonsense rules should be stated for any numerical
answers.
10. No response is required.
11. (a) This is an experiment; the treatment was the amount of light given to the colonies.
(b) The control group is the colony exposed to normal light, whereas the treatment group is the
exposure to continuous light.
(c) The number of fireflies living at the end of 72 hours.
(d) Ratio.
© 2024 Cengage. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible 6
website, in whole or in part.
,Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 2: Organizing Data
Solution and Answer Guide
Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 2: Organizing Data
TABLE OF CONTENTS
Section 2.1 ................................................................................................................................... 1
Section 2.2 ................................................................................................................................. 13
Section 2.3 ................................................................................................................................. 18
CHAPTER REVIEW PROBLEM.................................................................................................23
SECTION 2.1
1. Class limits are possible data values, and they specify the span of data values that fall within a
class. Class boundaries are not possible data values; they are values halfway between the upper-
class limit of one class and the lower-class limit of the next class.
2. Each data value must fall into one class. Data values above 50 do not have a class.
3. The classes overlap. A data value such as 20 falls into two classes.
4. These class widths are 11.
5. Width , so round up to 9. The class limits are 20–28, 29–37, 38–46,
47–55, 56–64, 65–73, and 74–82.
6. Width so round up to 23. The class limits are 10–32, 33–55, 56–78,
79–101, and 102–124.
7. ; the midpoint is 14.5.
8. ; the midpoint is 22.
9. (a) Answers vary. The distribution is most likely skewed right, if you expect many short times and
only a few long wait times.
(b) Answers vary. A bimodal distribution might exist if there are different wait times during busy
versus slow periods. This distribution might reflect the fact that when there are lots of
customers most of the waiting times are longer, especially since the lines are likely to be
long. On the other hand, when there are fewer customers, the lines are short or almost
nonexistent, and most of the waiting times are briefer.
© 2024 Cengage. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible 1
website, in whole or in part.
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 2: Organizing Data
10. (a) The distribution is most likely bimodal because the data are sampling two different
populations of adults—men and women.
(b) No.
11. The data set consists of the numbers 1 through 100, with each value occurring once. The
histogram will be uniform.
12. (a) Yes.
(b)
13. (a)
(b) Yes. Yes.
(c)
© 2024 Cengage. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible 2
website, in whole or in part.
9th Edition Charles Henry Brase
Notes
1- The file is chapter after chapter.
2- We have shown you few pages sample.
3- The file contains all Appendix and Excel
sheet if it exists.
4- We have all what you need, we make
update at every time. There are many
new editions waiting you.
5- If you think you purchased the wrong file
You can contact us at every time, we can
replace it with true one.
Our email:
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
Solution and Answer Guide
Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
TABLE OF CONTENTS
Section 1.1 ................................................................................................................................... 1
Section 1.2 ................................................................................................................................... 2
Section 1.3 ................................................................................................................................... 4
CHAPTER REVIEW PROBLEMS ................................................................................................ 5
SECTION 1.1
1. Individuals are people or objects included in the study, whereas a variable is a characteristic of
the individual that is measured or observed.
2. Nominal data are always qualitative.
3. A parameter is a numerical measure that describes a population. A statistic is a numerical value
that describes a sample.
4. If population does not change, the values of the parameters will not change. Thus, for a fixed
population, parameter values are constant. If we take three samples of the same size from a
population, the values of the sample statistics will almost surely differ.
5. (a) These numerical assignments are at the nominal level. There is no apparent ordering in the
responses.
(b) These numerical assignments are at the ordinal level. There is an increasing relationship
between worst to best levels of service. These assignments are not at the interval or ratio
level. The distances between numerical responses are not meaningful. The ratios are also
not meaningful.
6. Lucy’s observations do not apply to all adults; they apply only to her friends. Since the sample is
not random, we cannot draw any conclusions about a larger group using these data.
7. (a) Meal ordered at fast-food restaurants.
(b) Qualitative.
(c) All U.S. adult fast-food consumers.
8. (a) Miles per gallon.
(b) Quantitative.
(c) All new small hybrid cars.
9. (a) Nitrogen concentration (milligrams of nitrogen per liter of water).
(b) Quantitative.
(c) Nitrogen concentration (milligrams of nitrogen per liter of water) in the entire lake.
10. (a) Number of ferromagnetic artifacts per 100 square meters.
(b) Quantitative.
© 2024 Cengage. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible 1
website, in whole or in part.
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
(c) The entire Tara region.
11. (a) Ratio. (b) Interval. (c) Nominal. (d) Ordinal. (e) Ratio. (f) Ratio.
12. (a) Ordinal. (b) Ratio. (c) Nominal. (d) Interval. (e) Ratio. (f) Nominal.
13. (a) Nominal. (b) Ratio. (c) Interval. (d) Ordinal. (e) Ratio. (f) Interval.
14. Form B is better. Statistical methods can be applied to the ordinal data obtained from Form B but
not to the open-response answers obtained from Form A.
15. (a) Answers vary. Ideally, weigh the packs in pounds using a digital scale that has tenths of
pounds foraccuracy.
(b) Some students may refuse to have their backpacks weighed.
(c) Informing students before class may cause students to remove items before class.
SECTION 1.2
1. In stratified samples, we select a random sample from each stratum. In cluster sampling, we
randomly select clusters to be included, and then each member of the cluster is sampled.
2. In simple random samples, every sample of size n has an equal chance of being selected. In a
systematic sample, the only possible samples are those including every kth member of the
population with respect to the random starting position.
3. Sampling error is the difference between the value of the population parameter and the value of
the sample statistic that stems from the random selection process. The term is being used
incorrectly here. Certainly larger boxes of cereal will cost more than smaller boxes of cereal.
4. The sample frame consists of all students who use the college recreation center. The sample
frame does not include all students enrolled in the college since some students may not use the
center.
5. No. Even though the sample is random, some students younger than 18 or older than 20 may not
have beenincluded in the sample.
6. No. A random sample could include only music majors.
7. (a) Stratified.
(b) No. Each pooled sample would have 100 season ticket holders for men’s basketball games
and 100 season ticket holders for women’s games. Samples with, for example, 125 and 75
tickets holders, respectively, are not possible.
8. (a) Yes. Every student has a 50% chance of being selected.
(b) It is not possible based on this method of selecting students. Since every sample of size 20 is
not possible, this is not a simple random sample.
(c) Assign numbers 1, 2, . . , 40 to the students and use a random-digit table or a computer
package to draw random numbers.
9. Simply use a random digits table or a computer package to randomly select four students from the
class.
(a) Answers vary. Perhaps they are excellent students who make an effort to get to class early.
(b) Answers vary. Perhaps they are busy students who are never on time to class.
(c) Answers vary. Perhaps students in the back row are introverted.
(d) Answers vary. Perhaps taller students are healthier.
10. (a) Students who are absent from class on Monday cannot be included in the sample.
© 2024 Cengage. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible 2
website, in whole or in part.
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
(b) Homeschooled students, students who dropped out, or homeless students cannot be
included in the sample.
11. Answers vary.
12. Answers vary.
13. Answers vary.
14. Answers vary. One possibility is to use 0, 1, 2, 3, and 4 to indicate heads and 5, 6, 7, 8, and 9 to
indicate tails.
15. (a) Yes, it is appropriate, as a number can repeat itself once it has occurred. The outcome on
the fourth roll is 2.
(b) We will most certainly not get the same sequence of outcomes. The process is random.
16. Answers vary. We do expect at least one match on birthdays over 50% of the time we run
this experiment.
17. Answers vary. Use single digits in the table to determine the placement of correct answers.
18. Answers vary. The test key would be a random arrangement of True and False responses.
19. (a) Simple random sampling. Every sample of size n from the population has an equal
chance of being selected, and every member of the population has an equal chance of
being included in the sample.
(b) Cluster sampling. The state, Hawaii, is divided into zip codes. Then, within each of the 10
selected zip codes, all businesses are surveyed.
(c) Convenience sampling. This technique uses results or data that are conveniently and readily
obtained.
(d) Systematic sampling. Every fiftieth business is included in the sample.
(e) Stratified sampling. The population was divided into strata based on the business type. Then
a simple random sample was drawn from each stratum.
20. (a) Stratified sampling. The population was divided into strata (four categories of length of
hospital stay), and then a simple random sample was drawn from each stratum.
(b) Simple random sampling.
(c) Cluster sampling. There are five geographic regions, and some facilities from each region are
selected randomly. Then, for each selected facility, all patients on the discharge list are
surveyed to create patient satisfaction profiles.
(d) Systematic sampling. Every 500th patient is included in the sample.
(e) Convenience sampling.
© 2024 Cengage. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible 3
website, in whole or in part.
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
SECTION 1.3
1. Answers vary. For instance, some people may have a career following their passion, but with low
income or a long commute. Others might be very satisfied with their career as long as the income
is high. One-way commute times may be long because affordable housing is distant from the job.
A working spouse could affect all three variables.
2. A double-blind procedure would entail neither the patients nor those administering the treatments
knowing which patients received which treatments. This process should eliminate potential bias
from the treatment administrators and from patient psychology regarding benefits of the drug.
3. No, the respondents do not constitute a random sample from the community for a number of
reasons. For instance, the sample frame includes only those at the farmers’ market, and Charlie
may not have approached people with large dogs or those who were busy, and participation was
voluntary. Charlie’s T-shirt may have influenced responses.
4. No, the pooled sample had a fixed number of students from each block.
5. (a) No, those aged 18 to 29 in 2006 became aged 20 to 31 in 2008. The study is looking at the
same generation.
(b) 1977 to 1988, inclusive.
6. By 2020, the Echo generation will be aged 32 to 43, and their perception of items as necessities
or luxuries might well have changed by then.
7. (a) This is an observational study. The data collection method did not influence the outcome.
(b) This is an experiment. A treatment was imposed on the sheep in order to prevent heartworm.
(c) This is an experiment. The restrictions on fishing possibly led to a change in the length of
trout in the river.
(d) This is an observational study. The data were collected without influencing the turtles.
8. (a) Sampling. (b) Simulation. (c) Census. (d) Experiment.
9. (a) Use random selection to select ten calves to inoculate with the vaccine. After a period of time,
test all calves for the infection. No placebo is being used.
(b) Use random selection to select nine schools to visit. After 10 weeks, survey students in all 18
schools for their views on police officers. No placebo is being used.
(c) Use random selection to select 40 subjects to use the skin patch. A placebo is used for the
other 35 subjects. At the end of the trial, survey all 75 subjects about their smoking habits.
10. (a) “Over the last few years” could mean 2 years, 3 years, 7 years, and so on. A more precise
phrase is “Over the past 5 years.”
(b) If a respondent is first asked, “Have you ever run a stop sign,” chances are that their
response to the question, “Should fine be doubled?” will change. Those who run stop signs
probably don’t want the fine to double.
(c) Answers vary.
11. Based on the information, scheme A will be better because it blocks all plots bordering the river
together and all plots away from the river together. The blocks of Scheme B do not seem to differ
from each other.
© 2024 Cengage. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible 4
website, in whole or in part.
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
CHAPTER REVIEW PROBLEMS
1. Because of the requirement that each number appear only once in a given row, column, or box, it
would be very inefficient to use a random-number table to select the numbers. It’s better to simply
look at existing numbers, list possibilities that meet the requirement, and eliminate numbers that
don’t work.
2. Alisha’s study has some problems, and the results will be anecdotal. For instance, it is not clear
that the puzzles Alisha wants to download are all at the same difficulty level. Alisha’s friends who
are willing to participate will likely have different levels of experience with the puzzles. Alisha’s
friends are also volunteers, and the self-timing may lead to inaccurate measurements.
3. (a) Stratified.
(b) Students on your campus with work-study jobs.
(c) Number of hours scheduled to work each week; Quantitative; Ratio.
(d) Applicability to future employment goals, as measured by the scale given; Qualitative;
Ordinal.
(e) Statistic.
(f) The nonresponse rate is 60%, and yes, this could introduce bias into the results. Answers
vary.
(g) No, since the students were only drawn from one campus, then the results of the study would
only generalize to that campus if the data were collected using randomization.
4. The implied population is all the listeners (or even all the voters). The variable is the voting
preference of a caller. There is probably bias in the selection of the sample because those with
the strongest opinions are most likely to call in.
5. Assign the digits so that 4 out of the 10 digits 0 through 9 correspond to the result “Does” and 6 of
the digits correspond to the result “Does not” involve existing credit card accounts. One assignment
is digits 0, 1, 2, 3 correspond to “Does” while the remaining digits, 4, 5, 6, 7, 8, 9, correspond to
“Does not” involve such accounts. Starting with line 1, block 1 of Table 1, the sequence gives “Does
not,” “Does,” “Does not,” “Does,” “Does,” “Does not,” “Does not.” We cannot necessarily expect
another simulation to give the same result. The results depend on the response assigned to the
digits and the section of the random number table used.
6. (a) Cluster. (b) Convenience. (c) Systematic. (d) Random. (e) Stratified.
7. (a) This was an observational study because the researchers did not apply a treatment.
(b) This was an experiment because the two groups were given different tests and the results
were compared.
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website, in whole or in part.
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 1: Getting Started
8. (a) Randomly select 500 donors to receive the literature and 500 donors to receive the phone
call. After the donation collection period, compare the percentage who donated from each of
the two treatment groups. A placebo is not being used.
(b) Randomly select the 43 adults to be given the treatment gel and the 42 adults to receive the
placebo gel. After the treatment period, compare the whiteness of the two groups. To make
this double blind, the treatment administrators, whiteness evaluators, and patients would not
know which gel the patients are receiving.
(c) Before assigning donors to the literature or the phone call, first block them into the three age
groups. In each age group, randomly select half to receive the literature and half to receive
the phone call. Compute percentages of donors in each group for each block. Compare the
amounts received within each block.
9. Answers vary. Questions should be worded in a clear, concise, and unbiased manner. No
questions should bemisleading. Commonsense rules should be stated for any numerical
answers.
10. No response is required.
11. (a) This is an experiment; the treatment was the amount of light given to the colonies.
(b) The control group is the colony exposed to normal light, whereas the treatment group is the
exposure to continuous light.
(c) The number of fireflies living at the end of 72 hours.
(d) Ratio.
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website, in whole or in part.
,Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 2: Organizing Data
Solution and Answer Guide
Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 2: Organizing Data
TABLE OF CONTENTS
Section 2.1 ................................................................................................................................... 1
Section 2.2 ................................................................................................................................. 13
Section 2.3 ................................................................................................................................. 18
CHAPTER REVIEW PROBLEM.................................................................................................23
SECTION 2.1
1. Class limits are possible data values, and they specify the span of data values that fall within a
class. Class boundaries are not possible data values; they are values halfway between the upper-
class limit of one class and the lower-class limit of the next class.
2. Each data value must fall into one class. Data values above 50 do not have a class.
3. The classes overlap. A data value such as 20 falls into two classes.
4. These class widths are 11.
5. Width , so round up to 9. The class limits are 20–28, 29–37, 38–46,
47–55, 56–64, 65–73, and 74–82.
6. Width so round up to 23. The class limits are 10–32, 33–55, 56–78,
79–101, and 102–124.
7. ; the midpoint is 14.5.
8. ; the midpoint is 22.
9. (a) Answers vary. The distribution is most likely skewed right, if you expect many short times and
only a few long wait times.
(b) Answers vary. A bimodal distribution might exist if there are different wait times during busy
versus slow periods. This distribution might reflect the fact that when there are lots of
customers most of the waiting times are longer, especially since the lines are likely to be
long. On the other hand, when there are fewer customers, the lines are short or almost
nonexistent, and most of the waiting times are briefer.
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website, in whole or in part.
, Solution and Answer Guide: Brase, Understanding Basic Statistics 9e, 9780357719176; Chapter 2: Organizing Data
10. (a) The distribution is most likely bimodal because the data are sampling two different
populations of adults—men and women.
(b) No.
11. The data set consists of the numbers 1 through 100, with each value occurring once. The
histogram will be uniform.
12. (a) Yes.
(b)
13. (a)
(b) Yes. Yes.
(c)
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