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When a statistician omits data contrary to her findings in a study,she is justified as long as the sample supports her objective.

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

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Which is not a likely area of application of statistics in business?


A) Auditing supplier invoices for correct payment
B) Questioning the executives' strategic decisions
C) Looking for patterns in a large marketing database
D) Making forecasts of several key product lines

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Valid statistical inferences cannot be made when sample sizes are small.

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

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Which of the following statements is not true?


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.

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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?

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Large samples could be taken of wheelcha...

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Which of the following statements is not true?


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 data business analysis,most firms rely on a large staff of expert statisticians.
D) A statistical test may be significant yet have no practical importance.

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C

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

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

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Statistics helps surmount language barriers to solve problems in multinational businesses.

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Which is not an essential characteristic of a good business data analyst?


A) Effective writer
B) Stays current on techniques
C) Has a Ph.D.or master's degree in statistics
D) Can deal with imperfect information

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Because 25 percent of the students in my morning statistics class watch eight or more hours of television a week,I conclude that 25 percent of all students at the university watch eight or more hours of television a week.The most important logical weakness of this conclusion would be:


A) relying on any sample instead of surveying every student.
B) using a sample that may not be representative of all students.
C) failing to correct for unconscious interviewer bias.
D) assuming cause and effect where none exists.

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Which best illustrates the distinction between statistical significance and practical importance?


A) "In 2006,240 out of 400 statistics students at Oxnard Technical College sold their textbooks at the end of the semester,compared with 220 out of 330 students in 2005,a significant decrease."
B) "Our new manufacturing technique has increased the life of the 80 GB USB AsimoDrive external hard disk significantly,from 240,000 hours to 250,000 hours."
C) "In 50,000 births,the new vaccine reduced the incidence of infant mortality in Morrovia significantly from 14.2 deaths per 1000 births to 10.3 deaths per 1000 births."
D) "The new Sky Penetrator IV business jet's cruising range has increased significantly from 3,975 miles to 4,000 miles."

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Excel has limited use in business because advanced statistical software is widely available.

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A business data analyst needs a PhD in statistics.

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False

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


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

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Which is not a practical constraint facing the business researcher or data analyst?


A) Time and money are always limited.
B) The world is no laboratory,so some experiments are impractical.
C) Research on human subjects is fraught with danger and ethical issues.
D) Survey respondents usually will tell the truth if well compensated.

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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.

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In tests involving millions of patients,even a slightly improved test might benefit many individuals,though to the individual patient or physician the benefit might not be apparent.

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


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

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