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For Exercises 1 to \(4,\) identify the population, the parameter, the sample, and the statistic in each setting. Gas prices How much do gasoline prices vary in a large city? To find out, a reporter records the price per gallon of regular unleaded gasoline at a random sample of 10 gas stations in the city on the same day. The range (maximum - minimum) of the prices in the sample is 25 cents.

Short Answer

Expert verified
Population: all gas stations in the city; Parameter: range of all prices; Sample: 10 gas stations; Statistic: 25 cents range.

Step by step solution

01

Identify the Population

The population is the entire group of individuals or instances about which we want to draw conclusions. In this case, the population is all the gas stations in the large city.
02

Identify the Parameter

The parameter is a numerical summary of a population. Here, the parameter of interest is the range of gasoline prices (the difference between the highest and lowest prices) for all gas stations in the large city.
03

Identify the Sample

The sample refers to the subset of the population that is actually observed or collected data from. In this exercise, the sample is the 10 gas stations chosen at random in the city.
04

Identify the Statistic

The statistic is a numerical summary of a sample, which is used to estimate the parameter. The statistic in this scenario is the range of 25 cents for the gasoline prices observed in the sample of 10 gas stations.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Population and Sample
When studying statistics, it's essential to understand the difference between a population and a sample. Imagine you want to know about the gasoline prices across a large city. The entire collection of gas stations in this city represents the population. - **Population**: Represents all the subjects in a particular study. In our example, it's all the gas stations in the large city. - **Sample**: A smaller group selected from the larger population to gather data. In this case, a reporter picks a sample of 10 gas stations to record their gasoline prices. Samples are crucial because they offer a practical way to collect and analyze data without needing to check every member of the whole population. Instead of visiting every gas station, the reporter just looks at a carefully chosen few. This saves time and resources, while still allowing us to draw conclusions about the entire city's gas prices.
Parameter and Statistic
Parameters and statistics are key concepts in the world of statistics. They sound similar, but they play distinct roles. Let's see how they apply to our example of gasoline prices. - **Parameter**: Refers to a value that summarizes a characteristic of a population. This can be quite tricky to measure in real life because it involves the whole population. Here, it's the actual range of gasoline prices across all gas stations in the city. - **Statistic**: A value that summarizes a characteristic of a sample. It's what we calculate from our sampled data. The reporter found a range of 25 cents for the prices at the 10 selected stations. This value is a statistic because it was derived from a sample. Statistics are used to estimate parameters. The 25-cent range from our example gives us a glimpse into the possible range across the entire city. While a statistic may not be perfectly accurate, it offers a practical approximation.
Gasoline Price Variation
In our exercise, the focus was on how much gasoline prices can vary across different stations in a large city. Understanding this variation is essential for consumers and market analysts. Variations can happen due to multiple reasons: - **Location**: Gas stations in different parts of the city may have different costs due to transportation, rent, and other factors. - **Competition**: Areas with more gas stations might see lower prices due to competitive pricing. - **Supply and Demand**: High traffic areas may charge more as people pay for the convenience, while less frequented areas might offer lower prices to attract drivers. The reporter's goal was to understand this precise variation, and a range of 25 cents was noted from the random sample of 10 gas stations. Finding the range can be helpful. It gives a simple measure of how spread out the prices are. Though this range doesn't account for every station, it suggests that other stations may have similar variations in price. As consumers, understanding this can help us make more informed decisions when filling up our tanks.

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Most popular questions from this chapter

Multiple choice: Select the best answer for Exercises 43 to \(46,\) which refer to the following setting. The magazine Sports Illustrated asked a random sample of 750 Division I college athletes, "Do you believe performance- enhancing drugs are a problem in college sports?" Suppose that 30\(\%\) of all Division I athletes think that these drugs are a problem. Let \(\hat{p}\) be the sample proportion who say that these drugs are a problem. The standard deviation of the sampling distribution is about \(\begin{array}{ll}{\text { (a) } 0.0006 .} & {\text { (c) } 0.017 .} & {\text { (e) none of these. }} \\ {\text { (b) } 0.033 .} & {\text { (d) } 1}\end{array}\)

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