2-Continuous/Quantitative Data – If an experiment results in data that are conti
ID: 3201518 • Letter: 2
Question
2-Continuous/Quantitative Data – If an experiment results in data that are continuous in nature, must the data also be quantitative, or can they be qualitative?
Consider the Source. In Exercises 3 and 4, determine whether the given source has the potential to create a bias in a statistical study.
3-Body Measurements – Data Set 1 in Appendix B includes body measurements obtained by the U.S. Department of Health and Human services, National Center for Health Statistics.
4-Chocolate – An article in Journal of Nutrition (Vol. 130, No. 8) noted that chocolate is rich in flavonoids. The article notes that “regular consumption of foods rich in flavonoids may reduce risk of coronary heart disease.” The study received finding from Mars, Inc., the candy company, and the Chocolate Manufacturers Association.
Sampling Method. In Exercises 5 and 6, determine whether the sampling method appears to be sound or is flawed.
5-Text Messaging – In a survey of 109 subjects, each was asked to indicate how many text messages they send and receive each day. The Sample consisted of those who chose to respond to the request posted on the StatCrunch Web site.
6- Evolution – In a survey of beliefs about evolution, Gallup pollsters randomly selected and telephoned 1018 adults in the United States.
In Exercises 7-9, use common sense to determine whether the given event is (a) impossible; (b) possible, but very unlikely; (c) possible and likely.
7-Solar Eclipse – The next solar eclipse for the United States will happen on a Monday.
8-Thanksgiving Day – Thanksgiving Day will fall on a Friday next year.
9-Computers – When each of 25 statistics students turn on their computer in the computer classroom, all 25 computers fail to operate successfully.
In Exercises 10-12, refer to the data in the table below. (The pulse rates are from one sample of randomly selected males and a different sample of randomly selected females listed in Data Set 1 in Appendix b.)
Pulse Rate (beats per minute)
Male
60
64
60
72
64
Female
68
72
88
60
60
10-Context of the Data. Refer to the given table of pulse rates. Is there some meaningful way in which each male pulse rate is matched with the corresponding female pulse rate? If the male pulse rates and the female pulse rates are not matched, does it make sense to use the difference between any of the pulse rates that are in the same column?
11-Source of the Data. The listed pulse rates were obtained for the Third National Health and Nutrition Examination Survey conducted by the U.S. Department of Health and Human Services, national Center for Health Statistics. Is the source of the data likely to be unbiased?
12-Conclusion. Given the data in the table, what issue can be addressed by conduction a statistical analysis of the pulse rates?
Pulse Rate (beats per minute)
Male
60
64
60
72
64
Female
68
72
88
60
60
Explanation / Answer
2. Qualitative data cannot be continuous since continuous data assume a continum of values. So continuous data are quantitative.
3. The data is collected for the health studies. So there is no chance of biased sampling.
4. Data is collected from the chocolate manufacturing association and candy company. So there is a chance of biased sampling.
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