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Chapter 7: Problem 33

Consider the population that consists of all people who purchased season tickets for home games of the New York Yankees. a. Give an example of a question about this population that could be answered by collecting data and using the data to estimate a population characteristic. b. Give an example of a question about this population that could be answered by collecting data and using the data to test a claim about this population.

Short Answer

Expert verified
Estimation question: What is the average age of a season ticket holder? Testing question: Is there a significant difference in the number of tickets bought by residents of New York City compared to those from other parts of New York state?

Step by step solution

01

Formulate Estimation Question

Possible data points for a population characteristic could include purchasing habits, demographic information or satisfaction ratings. For instance, 'What is the average age of a season ticket holder?' This question can be answered accurately by conducting a survey where one of the questions asked is about the participant's age. Hence, the collected data can be used to estimate this population characteristic.
02

Formulate Testing Question

When it comes to testing a claim about this population, the question should hinge on a hypothesis that can be either proven or disproven by data. For example, 'Is there a significant difference in the number of tickets bought by residents of New York City compared to those from other parts of New York state?' Here, the data collected (place of residence and number of tickets bought) can be used to test this claim.

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Most popular questions from this chapter

The article "Tots' TV-Watching May Spur Attention Problems" (San Luis Obispo Tribune, April 4, 2004) describes a study that appeared in the journal Pediatrics. In this study, researchers looked at records of 2,500 children who were participating in a long-term health study. For each child, they determined if the child had attention disorders at age 7 and the number of hours of television the child watched at age 3 . They hoped to use the resulting data to learn about how these variables might be related.

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