Question 1

Pitfalls to consider in a statistical test include nonrandom samples,small sample size,and lack of causal links.

Accepted Answer

A) True 
 B)False  True

Question 2

"Bob didn't wear his lucky T-shirt to class,so he failed his chemistry exam." This best illustrates which fallacy?

Accepted Answer

A) Small sample generalization 
B) Poor survey methods 
C) Post hoc reasoning 
D) More than one of the above 
A) Small sample generalization 
B) Poor survey methods 
C) Post hoc reasoning 
D) More than one of the above C

Question 3

How might statistics be useful in determining the correct width of doorways in a convalescent care facility so that 99 percent of the "typical" wheelchairs can pass through the doorway without coming closer than 6 inches on either side?

Accepted Answer

Large samples could be taken of wheelchair widths and the space needed on either side,and averages could be computed.Statistics can then be applied to find the 99th percentiles.One way is to measure the widths of major brands of wheelchairs currently being sold,being sure that people are sitting in them and using their hands to move the wheels to measure the necessary clearance.Then take a similar survey of older wheelchairs that still are used.Estimate the proportion of each type of wheelchair in use,to determine what width is required for 99 percent to meet the requirement.You might also find that some wheelchair users carry a cane in their laps,which may protrude.To learn how to estimate percentiles,you need a basic class in statistics.

Question 4

Predicting a presidential candidate's percentage of the statewide vote from a sample of 800 voters would be an example of inferential statistics.

Accepted Answer

A) True 
 B)False

Question 5

Estimating parameters and testing hypotheses are important aspects of descriptive statistics.

Accepted Answer

A) True 
 B)False

Question 6

Which of the following statements is not true?

Accepted Answer

A) Statistics helps refine theories through ongoing hypothesis testing. 
B) Statistics is the science of collecting,organizing,analyzing,interpreting,and presenting data. 
C) Estimating parameters is an important aspect of descriptive statistics. 
D) Statistical challenges include imperfect data and practical constraints. 
A) Statistics helps refine theories through ongoing hypothesis testing. 
B) Statistics is the science of collecting,organizing,analyzing,interpreting,and presenting data. 
C) Estimating parameters is an important aspect of descriptive statistics. 
D) Statistical challenges include imperfect data and practical constraints.

Question 7

Established risk factors such as cholesterol and obesity can predict who will get heart disease about 80 percent of the time.Adding a new test called CRP can raise this percentage to 81 percent-a statistically significant difference.But would this improvement be of practical importance to a physician? To a patient? Discuss.

Accepted Answer

A single physician might feel that such

Question 8

Which of the following statements is not true?

Accepted Answer

A) A statistic is a single measure (usually numerical)that is calculated from a sample. 
B) Statistics is the science of collecting,organizing,analyzing,interpreting,and presenting data. 
C) For day-to-day business data analysis,most firms rely on a large staff of expert statisticians. 
D) A statistical test may be significant yet have no practical importance. 
A) A statistic is a single measure (usually numerical)that is calculated from a sample. 
B) Statistics is the science of collecting,organizing,analyzing,interpreting,and presenting data. 
C) For day-to-day business data analysis,most firms rely on a large staff of expert statisticians. 
D) A statistical test may be significant yet have no practical importance.

Question 9

Which is least likely to be an application where statistics will be useful?

Accepted Answer

A) Predicting whether an airfare is likely to rise or fall 
B) Designing the most desirable features for a ski pass 
C) Deciding whether offering Rice Krispies improves restaurant sales 
D) Choosing the wording of a corporate policy prohibiting smoking 
A) Predicting whether an airfare is likely to rise or fall 
B) Designing the most desirable features for a ski pass 
C) Deciding whether offering Rice Krispies improves restaurant sales 
D) Choosing the wording of a corporate policy prohibiting smoking

Question 10

We would associate the term inferential statistics with which task?

Accepted Answer

A) Making visual displays of data 
B) Estimating unknown parameters 
C) Describing a sample of data 
D) Tabulating a survey 
A) Making visual displays of data 
B) Estimating unknown parameters 
C) Describing a sample of data 
D) Tabulating a survey

Question 11

Descriptive statistics refers to summarizing data rather than generalizing about the population.

Accepted Answer

A) True 
 B)False

Question 12

Bob said,"Since statistics cannot tell for certain whether one thing caused another,there is no point in even reporting probabilities." Argue both for and against Bob's statement.

Accepted Answer

Bob is correct in saying that we usually

Question 13

A strong correlation between A and B would imply that B is caused by A.

Accepted Answer

A) True 
 B)False

Question 14

Statistics can help you handle either too little or too much information.

Accepted Answer

A) True 
 B)False

Question 15

GM's experience with ignition switches suggests that

Accepted Answer

A) statistics is not applicable to automotive manufacturing. 
B) limited data may still contain important clues. 
C) good engineers can eliminate all risks. 
D) ignition switches are inherently dangerous. 
A) statistics is not applicable to automotive manufacturing. 
B) limited data may still contain important clues. 
C) good engineers can eliminate all risks. 
D) ignition switches are inherently dangerous.

Question 16

"Tom's SUV rolled over.SUVs are dangerous." This best illustrates which fallacy?

Accepted Answer

A) Unconscious bias 
B) Significance versus practical importance 
C) Post hoc reasoning 
D) Small sample generalization 
A) Unconscious bias 
B) Significance versus practical importance 
C) Post hoc reasoning 
D) Small sample generalization

Question 17

Which is not a reason for an average student to study statistics?

Accepted Answer

A) Improve technical writing skills 
B) Gain information management skills 
C) Enhance technical literacy 
D) Learn stock market strategies 
A) Improve technical writing skills 
B) Gain information management skills 
C) Enhance technical literacy 
D) Learn stock market strategies

Question 18

Statistical data analysis can often distinguish between real versus perceived ethical issues.

Accepted Answer

A) True 
 B)False

Question 19

Statistics is the science of collecting,organizing,analyzing,interpreting,and presenting data.

Accepted Answer

A) True 
 B)False

Question 20

The science of statistics tells us whether the sample evidence is convincing.

Accepted Answer

A) True 
 B)False

Pitfalls to consider in a statistical test include nonrandom samples,small sample size,and lack of causal links.

"Bob didn't wear his lucky T-shirt to class,so he failed his chemistry exam." This best illustrates which fallacy?

How might statistics be useful in determining the correct width of doorways in a convalescent care facility so that 99 percent of the "typical" wheelchairs can pass through the doorway without coming closer than 6 inches on either side?

Predicting a presidential candidate's percentage of the statewide vote from a sample of 800 voters would be an example of inferential statistics.

Estimating parameters and testing hypotheses are important aspects of descriptive statistics.

Which of the following statements is not true?

Which of the following statements is not true?

Which is least likely to be an application where statistics will be useful?

We would associate the term inferential statistics with which task?

Descriptive statistics refers to summarizing data rather than generalizing about the population.

Bob said,"Since statistics cannot tell for certain whether one thing caused another,there is no point in even reporting probabilities." Argue both for and against Bob's statement.

A strong correlation between A and B would imply that B is caused by A.

Statistics can help you handle either too little or too much information.

GM's experience with ignition switches suggests that

"Tom's SUV rolled over.SUVs are dangerous." This best illustrates which fallacy?

Which is not a reason for an average student to study statistics?

Statistical data analysis can often distinguish between real versus perceived ethical issues.

Statistics is the science of collecting,organizing,analyzing,interpreting,and presenting data.

The science of statistics tells us whether the sample evidence is convincing.

Data Collection

Describing Data Visually

Descriptive Statistics

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions and Estimation

One-Sample Hypothesis Tests

Two-Sample Hypothesis Tests

Analysis of Variance

Simple Regression

Multiple Regression

Chi-Square Tests

Filters

Exam 1: Overview of Statistics

Pitfalls to consider in a statistical test include nonrandom samples,small sample size,and lack of causal links.

"Bob didn't wear his lucky T-shirt to class,so he failed his chemistry exam." This best illustrates which fallacy?

How might statistics be useful in determining the correct width of doorways in a convalescent care facility so that 99 percent of the "typical" wheelchairs can pass through the doorway without coming closer than 6 inches on either side?

Predicting a presidential candidate's percentage of the statewide vote from a sample of 800 voters would be an example of inferential statistics.

Estimating parameters and testing hypotheses are important aspects of descriptive statistics.

Which of the following statements is not true?

Which of the following statements is not true?

Which is least likely to be an application where statistics will be useful?

We would associate the term inferential statistics with which task?

Descriptive statistics refers to summarizing data rather than generalizing about the population.

Bob said,"Since statistics cannot tell for certain whether one thing caused another,there is no point in even reporting probabilities." Argue both for and against Bob's statement.

A strong correlation between A and B would imply that B is caused by A.

Statistics can help you handle either too little or too much information.

GM's experience with ignition switches suggests that

"Tom's SUV rolled over.SUVs are dangerous." This best illustrates which fallacy?

Which is not a reason for an average student to study statistics?

Statistical data analysis can often distinguish between real versus perceived ethical issues.

Statistics is the science of collecting,organizing,analyzing,interpreting,and presenting data.

The science of statistics tells us whether the sample evidence is convincing.

Data Collection

Describing Data Visually

Descriptive Statistics

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions and Estimation

One-Sample Hypothesis Tests

Two-Sample Hypothesis Tests

Analysis of Variance

Simple Regression

Multiple Regression

Chi-Square Tests

Filters