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

Triangle Fire Fatalities: A deadly disaster in the United States was the Triangle Shirtwaist Factory Fire in New York City. A population of 146 garment workers died in that fire.

Short Answer

Expert verified

The group of 146 garment workers who died in the Triangle Shirtwaist Factory Fire represents a parameter.

Step by step solution

01

Given information

In the Triangle Shirtwaist Factory Fire, a population of 146 garment workers died.

02

Statistic and parameter

Statistical values such as mean and standard deviation that are calculated using the sample are called statistics. For example, the mean length of pencils (in cm) equal to 13 is computed from a sample of 30 pencils. Thus, the value 13 is a statistic.

Statistical values such as mean and standard deviation that are calculated using the population are called parameters. For example, the mean weight of mice (in g) equal to 30 is computed from an entire population of 700 mice. Thus, the value 30 is a parameter.

03

Identification of a statistic or a parameter

The value of 146 garment workers who died in the disaster comprises all the workers of the Triangle Shirtwaist Factory. It is the size of a population.

Therefore, it is a parameter.

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Most popular questions from this chapter

In Exercises 21โ€“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

Conclusion: If we analyze the sample data and conclude that there is a correlation between white blood cell counts and red blood cell counts, does it follow that higher white blood cell counts are the cause of higher red blood cell counts?

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Question: Determine whether the given source has the potential to create a bias in a statistical study.

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Determine whether the data are from discrete data or continuous data set.

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