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From Amazon.com, the prices of 10 varieties of orange juice \((59-\) to 64 -ounce containers) sold were recorded: \(\$ 3.88, \$ 2.99, \$ 3.99, \$ 2.99, \$ 3.69, \$ 2.99, \$ 4.49\), \(\$ 3.69, \$ 3.89, \$ 3.99 .\) a. Find and interpret the mean price of orange juice sold on this site. Round to the nearest cent. b. Find the standard deviation for the prices. Round to the nearest cent. Explain what this value means in the context of the data.

Short Answer

Expert verified
The mean price of orange juice sold on this site is the total summed price divided by the number of varieties (10). Follow the procedure in Step 1 of the solution for the exact calculations. The standard deviation describes how much diversity there is in the range of prices, it can be calculated with the formula in Step 2. The more the standard deviation, the greater the price diversity among the varieties. The interpretation of these results are provided in Step 3.

Step by step solution

01

Calculate the Mean Price

The mean price can be calculated using the formula for the average, which is the sum of all data items divided by the number of data items. Add all the prices together and then divide by 10 (since there are 10 prices). Therefore, \[ Mean = \frac{{3.88 + 2.99 + 3.99 + 2.99 + 3.69 + 2.99 + 4.49 + 3.69 + 3.89 + 3.99}}{{10}} \]
02

Calculate the Standard Deviation

To calculate the standard deviation of the prices, first subtract the mean from each price, square the result, add all these squared values together, divide by the number of prices (which is 10 here), and then take the square root of that quotient. The formula for standard deviation is \[SD=\sqrt{\frac{1}{N}\sum_{i=1}^N (x_i - \overline{x})^2}\]\, where \(x_i\) are the data points, \(N\) is the number of data points and \(\overline{x}\) is the mean of the data points.
03

Interpret the Results

The mean price represents the average cost of the orange juices, giving the central value of the prices. The standard deviation represents the dispersion of the prices from the mean. A low standard deviation means that the data points tend to be close to the mean, while a high standard deviation suggests that the data points are spread out over a wider range of values.

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Key Concepts

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

Mean Calculation
To find the mean of a set of numbers, you simply add all the numbers together and then divide by the number of items in the set. This gives you the average value. In the context of our orange juice prices, we have ten different prices. By adding these prices and then dividing by 10, we determine the average price per container of orange juice.

The formula for calculating the mean is straightforward:
  • Add up all the individual prices
  • Divide the total by 10 since there are 10 data points
Using the formula: \[ Mean = \frac{3.88 + 2.99 + 3.99 + 2.99 + 3.69 + 2.99 + 4.49 + 3.69 + 3.89 + 3.99}{10} \] The result gives us the average price, or mean.

This mean price is a typical representation of the cost you might expect when purchasing one of the orange juice varieties from Amazon. Knowing this figure can help consumers understand what an average priced orange juice might cost.
Standard Deviation
Standard deviation is a statistical tool that helps us understand the spread or variability of our data. It tells us how closely the data points are clustered around the mean.
  • A low standard deviation means prices are close to the average price, indicating consistency.
  • A high standard deviation means prices vary widely, indicating inconsistency.
To calculate the standard deviation:
  • Subtract the mean from each price.
  • Square each of these differences.
  • Sum all the squared differences.
  • Divide by the number of data points, which is 10 in this case.
  • Take the square root of this final result.
In formula form: \[SD=\sqrt{\frac{1}{N}\sum_{i=1}^N (x_i - \overline{x})^2}\]where \(x_i\) are each of the prices and \(\overline{x}\) is the mean.

This value of standard deviation gives us insight into how much fluctuation there is in the prices of orange juices from the mean price.
Data Interpretation
Interpreting data involves understanding what numbers signify in a real-world context. From our calculations, the mean price of the orange juices provides a benchmark or reference point for consumers. It is what one could expect to spend, on average, when shopping among these options.

However, prices do not tell the whole story alone. The standard deviation adds layers of context:
  • If the standard deviation is low, customers can feel confident that most products are priced close to the average, ensuring predictability in expense.
  • On the other hand, a higher standard deviation means customers might find some varieties significantly cheaper or more expensive than the average, suggesting a wider price range and more choices.
By combining both mean and standard deviation, one gains a comprehensive understanding of the price landscape for orange juices, helping make informed purchasing decisions.

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Most popular questions from this chapter

Babies born weighing 2500 grams (about \(5.5\) pounds) or less are called low- birthweight babies, and this condition sometimes indicates health problems for the infant. The mean birth weight for U.S.-bom children is about 3462 grams (about \(7.6\) pounds). The mean birth weight for babies bom one month early is 2622 grams. Suppose both standard deviations are 500 grams. Also assume that the distribution of birth weights is roughly unimodal and symmetric. a. Find the standardized score \((z\) -score), relative to all U.S. births, for a baby with a birth weight of 2500 grams. b. Find the standardized score for a birth weight of 2500 grams for a child born one month early, using 2622 as the mean. c. For which group is a birth weight of 2500 grams more common? Explain what that implies. Unusual \(z\) -scores are far from \(0 .\)

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