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Chapter 1: Q2-5BSC (page 1)

Identify whether the given value is a statistic or a parameter.

In a study of American Airlines flights from JFK in New York to LAX in Los Angeles, 48 flights are randomly selected and the average (mean) arrival time is 8.9 minutes late.

Short Answer

Expert verified

The average (mean) arrival time, equal to 8.9 minutes late, for the randomly selected 48 flights is a statistic.

Step by step solution

01

Given information

A random sample of 48 adults is extracted from the population of a large number of American Airlines flights taking off from New York and landing in Los Angeles.

02

Statistic and parameter

A statistical quantity calculated from the sample is called astatistic. For example, mean, proportion, and standard deviation are calculated using the sample.

A statistical quantity calculated from the population is called a population parameter or simply a parameter. For example, mean, range and variance are calculated for the population.

03

Identification of a statistic or a parameter

As the average (mean) arrival time is computed for a sample of 48 flights, the average (mean) arrival time equal to 8.9 minutes late is a statistic.

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Most popular questions from this chapter

The complete set of all housing units equal to 132,802,859 present in the United States represents a parameter.

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.)

Subject


12345
8 AM9798.597.697.798.7
12 AM97.697.89898.498.4

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 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.).

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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