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In Exercises 9–20, identify which of these types of sampling is used: random, systematic, convenience, stratified, or cluster.

UFO Poll In a Kelton Research poll, 1114 Americans 18 years of age or older were called after their telephone numbers were randomly generated by a computer, and 36% of the respondents said that they believe in the existence of UFOs.

Short Answer

Expert verified

Random sampling

Step by step solution

01

Given information

The responses were taken from 1114 Americans who were 18 or above in age. They were selected through randomly generated telephone numbers.

36% of those polled stated they believed in the existence of UFOs.

02

Step 2:Identify the method of sampling

Random sampling is a sample collection method that includes participants of the study who are gathered randomly, that is, without following any order.

In the sampling process, the selections were made using the randomly generated telephone numbers by a computer.

Thus, the process of generating the numbers is completely randomized, and hence the selections can also be considered to be collected by the process of simple random sampling.

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Most popular questions from this chapter

Health SurveyIn a survey of 1020 adults in the United States, 44% said that they wash their hands after riding public transportation (based on data from KRC Research).

a. Identify the sample and population.

b. Is the value of 44% a statistic or parameter?

c. What is the level of measurement of the value of 44%? (nominal, ordinal, interval, ratio)

d. Are the numbers of subjects in such surveys discrete or continuous?

In Exercises 17–20, refer to the sample of body temperatures (degrees Fahrenheit) in the table below. (The body temperatures are from a data set in Appendix B.)

Context of the Data: Refer to the table of body temperatures. Is there some meaningful way in which each body temperature recorded at 8 AM is matched with the 12 AM temperature?

In Exercises 21–24, 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


12345
White8.75.97.36.25.9
Red4.915.594.444.85.17

Source of the Data Considering the source of the data, does that source appear to be biased in some way?

In Exercises 17–20, refer to the sample of body temperatures (degrees Fahrenheit) in the table below. (The body temperatures are from a data set in Appendix B.)

Conclusion Given the body temperatures in the table, what issue can be addressed by conducting a statistical analysis of the data.

In Exercises 17–20, refer to the sample of body temperatures (degrees Fahrenheit) in the table below. (The body temperatures are from a data set in Appendix B.).

Subject


12345
8 AM9798.597.697.798.7
12 AM97.697.89898.498.4

Conclusion If we analyze the listed body temperatures with suitable methods of statistics, we conclude that when the differences are found between the 8 AM body temperatures and the 12 AM body temperatures, there is a 64% chance that the differences can be explained by random results obtained from populations that have the same 8 AM and 12 AM body temperatures. What should we conclude about the statistical significance of those differences?

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