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Ch. 6 - Normal Probability Distributions
Triola - Elementary Statistics 14th Edition
Triola14th EditionElementary StatisticsISBN: 9780137366446Not the one you use?Change textbook
Chapter 6, Problem 6.2.37a

Curving Test Scores A professor gives a test and the scores are normally distributed with a mean of 60 and a standard deviation of 12. She plans to curve the scores.


a. If she curves by adding 15 to each grade, what is the new mean and standard deviation?

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Understand the problem: The professor is curving the test scores by adding 15 to each grade. The original distribution of scores is normally distributed with a mean (μ) of 60 and a standard deviation (σ) of 12. We need to determine the new mean and standard deviation after the adjustment.
Recall the property of normal distributions: When a constant value is added to every data point in a dataset, the mean of the dataset increases by that constant, but the standard deviation remains unchanged. This is because standard deviation measures the spread of the data, which is unaffected by adding a constant.
Calculate the new mean: Add the constant value (15) to the original mean (60). Use the formula: μnew = μoriginal + c, where c is the constant being added.
Determine the new standard deviation: Since adding a constant does not affect the spread of the data, the new standard deviation remains the same as the original standard deviation. Use the formula: σnew = σoriginal.
Summarize the results: The new mean is the original mean plus 15, and the new standard deviation is the same as the original standard deviation. These values describe the adjusted normal distribution of the test scores.

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Normal Distribution

Normal distribution is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean. It is characterized by its bell-shaped curve, defined by its mean and standard deviation. In this context, the test scores follow a normal distribution with a mean of 60 and a standard deviation of 12.
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Mean and Standard Deviation

The mean is the average of a set of values, calculated by summing all the values and dividing by the number of values. The standard deviation measures the amount of variation or dispersion in a set of values. In the case of curving test scores, understanding how these two statistics change when a constant is added is crucial for determining the new mean and standard deviation.
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Effects of Linear Transformation

A linear transformation involves adding or multiplying a constant to a dataset. When a constant is added to each score, the mean increases by that constant, while the standard deviation remains unchanged. This principle is essential for calculating the new mean and standard deviation after curving the test scores by adding 15.
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Related Practice
Textbook Question

Fatal Car Crashes There are about 15,000 car crashes each day in the United States, and the proportion of car crashes that are fatal is 0.00559 (based on data from the National Highway Traffic Safety Administration). Assume that each day, 1000 car crashes are randomly selected and the proportion of fatal car crashes is recorded.

a. What do you know about the mean of the sample proportions?

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Textbook Question

College Presidents There are about 4200 college presidents in the United States, and they have annual incomes with a distribution that is skewed instead of being normal. Many different samples of 40 college presidents are randomly selected, and the mean annual income is computed for each sample.

a. What is the approximate shape of the distribution of the sample means (uniform, normal, skewed, other)?

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Textbook Question

Ergonomics. Exercises 9–16 involve applications to ergonomics, as described in the Chapter Problem.


Water Taxi Safety Passengers died when a water taxi sank in Baltimore’s Inner Harbor. Men are typically heavier than women and children, so when loading a water taxi, assume a worst-case scenario in which all passengers are men. Assume that weights of men are normally distributed with a mean of 189 lb and a standard deviation of 39 lb (based on Data Set 1 “Body Data” in Appendix B). The water taxi that sank had a stated capacity of 25 passengers, and the boat was rated for a load limit of 3500 lb.


a. Given that the water taxi that sank was rated for a load limit of 3500 lb, what is the maximum mean weight of the passengers if the boat is filled to the stated capacity of 25 passengers?

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Textbook Question

Ergonomics. Exercises 9–16 involve applications to ergonomics, as described in the Chapter Problem.


Designing Manholes According to the website www.torchmate.com, “manhole covers must be a minimum of 22 in. in diameter, but can be as much as 60 in. in diameter.” Assume that a manhole is constructed to have a circular opening with a diameter of 22 in. Men have shoulder widths that are normally distributed with a mean of 18.2 in. and a standard deviation of 1.0 in. (based on data from the National Health and Nutrition Examination Survey).


a. What percentage of men will fit into the manhole?

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Textbook Question

Sleepwalking Assume that 29.2% of people have sleepwalked (based on “Prevalence and Comorbidity of Nocturnal Wandering in the U.S. Adult General Population, by Ohayon et al., Neurology, Vol. 78, No. 20). Assume that in a random sample of 1480 adults, 455 have sleepwalked.


a. Assuming that the rate of 29.2% is correct, find the probability that 455 or more of the 1480 adults have sleepwalked.

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Textbook Question

Hershey Kisses Based on Data Set 38 “Candies” in Appendix B, weights of the chocolate in Hershey Kisses are normally distributed with a mean of 4.5338 g and a standard deviation of 0.1039 g.


a. What are the values of the mean and standard deviation after converting all weights of Hershey Kisses to z scores using z = (x - μ)/σ ?


b. The original weights are in grams. What are the units of the corresponding z scores?

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