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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 6.4.8a

Using the Central Limit Theorem. In Exercises 5–8, assume that the amounts of weight that male college students gain during their freshman year are normally distributed with a mean of 1.2 kg and a standard deviation of 4.9 kg (based on Data Set 13 “Freshman 15” in Appendix B).


a. If 1 male college student is randomly selected, find the probability that he gains between 0.5 kg and 2.5 kg during freshman year.

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Step 1: Identify the given parameters. The problem states that the weight gain is normally distributed with a mean (μ) of 1.2 kg and a standard deviation (σ) of 4.9 kg. We are tasked with finding the probability that a randomly selected male college student gains between 0.5 kg and 2.5 kg.
Step 2: Standardize the values using the z-score formula. The z-score formula is given by: z=x-μσ, where x is the value of interest, μ is the mean, and σ is the standard deviation. Compute the z-scores for x = 0.5 and x = 2.5.
Step 3: Use the z-scores to find the cumulative probabilities. Once the z-scores are calculated, use a standard normal distribution table or a statistical software to find the cumulative probabilities corresponding to these z-scores.
Step 4: Subtract the cumulative probability of the lower z-score (corresponding to x = 0.5) from the cumulative probability of the higher z-score (corresponding to x = 2.5). This will give the probability that the weight gain is between 0.5 kg and 2.5 kg.
Step 5: Interpret the result. The final probability represents the likelihood that a randomly selected male college student gains between 0.5 kg and 2.5 kg during their freshman year. Ensure the result is reasonable given the context of the problem.

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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. In this context, the weight gain of male college students follows a normal distribution with a specified mean and standard deviation, allowing us to use statistical methods to calculate probabilities related to weight gain.
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Finding Standard Normal Probabilities using z-Table

Central Limit Theorem (CLT)

The Central Limit Theorem states that the sampling distribution of the sample mean will approach a normal distribution as the sample size increases, regardless of the original distribution of the population. This theorem is crucial when dealing with sample means and allows for the application of normal distribution properties even when the sample size is small, provided the population is normally distributed.
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Probability Calculation

Probability calculation involves determining the likelihood of a specific event occurring within a defined range. In this scenario, we need to calculate the probability that a randomly selected male college student gains between 0.5 kg and 2.5 kg, which requires using the properties of the normal distribution to find the area under the curve between these two values.
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Related Practice
Textbook Question

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


Safe Loading of Elevators The elevator in the car rental building at San Francisco International Airport has a placard stating that the maximum capacity is “4000 lb—27 passengers.” Because 4000/27=148, this converts to a mean passenger weight of 148 lb when the elevator is full. We will assume a worst-case scenario in which the elevator is filled with 27 adult males. Based on Data Set 1 “Body Data” in Appendix B, assume that adult males have weights that are normally distributed with a mean of 189 lb and a standard deviation of 39 lb.


a. Find the probability that 1 randomly selected adult male has a weight greater than 148 lb.

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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

Body Temperatures Listed below are body temperatures (°F) of adult males (based on Data Set 5 “Body Temperatures” in Appendix B).


97.6 98.2 99.6 98.7 99.4 98.2 98.0 98.6 98.6


a. Find the mean. Does the result seem reasonable?

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Textbook Question

Transformations The heights (in inches) of women listed in Data Set 1 “Body Data” in Appendix B have a distribution that is approximately normal, so it appears that those heights are from a normally distributed population.


a. If 2 inches is added to each height, are the new heights also normally distributed?

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Textbook Question

Smartphones Based on an LG smartphone survey, assume that 51% of adults with smartphones use them in theaters. In a separate survey of 250 adults with smartphones, it is found that 109 use them in theaters.


a. If the 51% rate is correct, find the probability of getting 109 or fewer smartphone owners who use them in theaters.

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Textbook Question

Mendelian Genetics When Mendel conducted his famous genetics experiments with peas, one sample of offspring consisted of 929 peas, with 705 of them having red flowers. If we assume, as Mendel did, that under these circumstances, there is a 3/4 probability that a pea will have a red flower, we would expect that 696.75 (or about 697) of the peas would have red flowers, so the result of 705 peas with red flowers is more than expected.


a. If Mendel’s assumed probability is correct, find the probability of getting 705 or more peas with red flowers.

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