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Chapter 1: Q6BSC (page 1)
Determine whether the given source has the potential to create bias in a statistical study.
Arsenic in Rice. Amounts of arsenic in samples of rice grown in Texas were measured by the Food and Drug Administration (FDA).
No, there is no potential for bias in the study.
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In Exercises 17鈥�20, refer to the sample of body temperatures (degrees Fahrenheit) in the table below. (The body temperatures are from a data set in Appendix B.)
Source: The listed body temperatures were obtained from Dr. Steven Wasserman, Dr. Philip Mackowiak, and Dr. Myron Levine, who were researchers at the University of Maryland. Is the source of the data likely to be biased?
In Exercises 29鈥�36, answer the given questions, which are related to percentages.
Checking Job Applicants In a study conducted by the Society for Human Resource Management, 347 human resource professionals were surveyed. Of those surveyed, 73% said that their companies conduct criminal background checks on all job applicants.
a.What is the exact value that is 73% of the 347 survey subjects?
b. Could the result from part (a) be the actual number of survey subjects who said that their companies conduct criminal background checks on all job applicants? Why or why not?
c. What is the actual number of survey subjects who said that their company conducts criminal background checks on all job applicants?
d. Assume that 112 of the survey subjects are females. What percentage of those surveyed are females?
Parameter and Statistic In a Harris Interactive survey of 2276 adults in the United States, it was found that 33% of those surveyed never travel using commercial airlines. Identify the population and sample. Is the value of 33% a statistic or a parameter?
Falsifying Data A researcher at the Sloan-Kettering Cancer Research Center was once criticized for falsifying data. Among his data were figures obtained from 6 groups of mice, with 20 individual mice in each group. The following values were given for the percentage of successes in each group: 53%, 58%, 63%, 46%, 48%, 67%. What鈥檚 wrong with those values?
In Exercises 21鈥�24, refer to the data in the table below. The entries are white blood cell counts (1000 cells,ML) and red blood cell counts (million cells,ML) from male subjects examined as part of a large health study conducted by the National Center for Health Statistics. The data are matched, so that the first subject has a white blood cell count of 8.7 and a red blood cell count of 4.91, and so on.
Subject
| 1 | 2 | 3 | 4 | 5 | |
| White | 8.7 | 5.9 | 7.3 | 6.2 | 5.9 |
| Red | 4.91 | 5.59 | 4.44 | 4.8 | 5.17 |
Source of the Data Considering the source of the data, does that source appear to be biased in some way?
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