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Paint Durability. A paint manufacturer in Pittsburgh claims that his paint will last an average of 5 years. Assuming that paint life is normally distributed and has a standard deviation of 0.5 year. answer the following questions:

a. Suppose that you paint one house with the paint and that the paint lasts 4.5 years. Would you consider that evidence against the manufacturer's claim? (Hint: Assuming that the manufacturer's claim is correct, determine the probability that the paint life for a randomly selected house painted with the paint is 4.5 years or less.)

b. Suppose that you paint 10 houses with the paint and that the paint lasts an average of 4.5 years for the 10 houses. Would you consider that evidence against the manufacturer's claim?

c. Repeat part (b) if the paint lasts an average of 4.9 years for the 10 houses painted.

Short Answer

Expert verified

Part (a) Because, assuming the manufacturer's promise is right, the paint life for a randomly picked house painted with this paint is 0.1587

Part (b) Because, assuming the manufacturer's claim is right, the average paint life for ten randomly selected buildings coated with this paint is 0.0008implying that such an event occurs less than 0.1%of the time.

Part (c) Because, assuming the manufacturer's claim is right, the average paint life for ten randomly selected houses painted with this paint is 0.263367, implying that such an event occurs roughly 26% of the time.

Step by step solution

01

Part (a) Step 1: Given information

A Pittsburgh paint maker promises that his paint will last on average 5 years. Paint life is regularly distributed with a 0.5 year standard deviation.

02

Part (a) Step 2: Concept

The formula used:σx¯=σ10

03

Part (a) Step 3: Calculation

Let xbe the paint life (in years) of a randomly selected house.

xis normally distributed, according to the manufacturer, with a mean of μ=5years and a standard deviation ofσ=0.5 years.

Assuming manufacturer's claim is correct,

P(x4.5)=Px-μσ4.5-μσ=Pz4.5-50.5=P(z-1)=0.1587

As a result, we cannot use that data to refute the manufacturer's claim in the current scenario. Because, assuming the manufacturer's promise is right, the paint life for a randomly picked house painted with this paint is 0.1587 i.e., such an event would occur about 16% of the time.

04

Part (b) Step 1: Calculation

Let x¯be the mean paint life for 10 randomly selected house. x¯=4.5Years

According to manufacturer's claim, x¯~N5,σx¯2

where σx¯=σ10

=0.510=0.158

P(x¯4.5)=Px¯-μσx¯4.5-μσx¯=Pz4.5-50.158=P(z-3.165)=0.0008

As a result, we can analyze the evidence against the manufacturer's claim in the current situation. Because, assuming the manufacturer's claim is right, the average paint life for ten randomly selected buildings coated with this paint is 0.0008, implying that such an event occurs less than0.1% of the time.

05

Part (b) Step 2: Calculation

The probability P(z-3.165)is calculated using MINITAB in the following way:

Step 1: Press the Calc menu; Highlight the 'Probability Distributions'.

Step 2: Press Normal... ;

Step 3: Tick Cumulative Probability and enter the given data values

Mean: 0

Standard deviation: 1

Step 4: Tick Input constant and enter the value -3.165

- Input constant: -3.165

Step 5: Press Ok

06

Part (c) Step 1: Calculation

Given that x¯=4.9Years

According to the manufacturer's claim, x¯~N5,σx¯2, where σx¯=0.158

P(x¯4.9)=Px¯-μσx¯4.9-μσx¯=Pz4.9-50.158=P(z-0.633)=0.263367

As a result, we cannot use that data to refute the manufacturer's claim in the current scenario. Because, assuming the manufacturer's claim is right, the average paint life for ten randomly selected houses painted with this paint is 0.263367, implying that such an event occurs roughly 26% of the time.

07

Part (c) Step 2: Calculation

The probability, P(z-0.633) is calculated using MINITAB in the follwing way:

Step 1: Press the Calc menu ; Highlight the 'Probability Distributions'.

Step 2: Press Normal... ;¯

Step 3: Tick Cumulative Probability and enter the given data values

Mean: 0

Standard deviation: 1

Step 4: Tick Input constant and enter the value -0.633

Input constant: -0.633

Step 5: Press Ok

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Most popular questions from this chapter

Refer to Exercise 7.3 on page 295 .

a. Use your answers from Exercise 7.3(b) to determine the mean, μs. of the variable x¯ for each of the possible sample sizes.

b. For each of the possible sample sizes, determine the mean, μi, of the variable x~, using only your answer from Exercise 7.3(a).

Menopause in Mexico. In the article "Age at Menopause in Puebla. Mexico" (Human Biology, Vol. 75, No, 2, Pp. 205-206), authors L. Sievert and S. Hautaniemi compared the age of menopause for different populations. Menopause, the last menstrual period, is a universal phenomenon among females. According to the article, the mean age of menopause, surgical or natural, in Puebla, Mexico is 44.8 years with a standard deviation of 5.87 years. Letx¯ denote the mean age of menopause for a sample of females in Puebla, Mexico.
a. For samples of size 40, find the mean and standard deviation of x¯. Interpret your results in words.
b. Repeat part (a) with n=120.

America's Riches. Each year, forbes magazine publishes a list of the richest people in the United States. As of September l6, 2013, the six richest Americans and their wealth (to the neatest billion dollars) are as shown in the following table. Consider these six people a population of interest.

(a) For sample size of 4construct a table similar to table 7.2 on page293.(There are 15 possible sample of size 4

(b) For a random sample of size 4determine the probability that themean wealth of the two people obtained will be within 3(i.e,3billion) of the population mean. interpret your result in terms of percentages.

Taller Young Women. In the document Anthropometric Reference Data for Children and Adults, C. Fryer et al. present data from the National Health and Nutrition Examination Survey on a variety of human body measurements. A half-century ago, the mean height of (U.S.) women in their 20s was 62.6 inches. Assume that the heights of today's women in their 20s are approximately normally distributed with a standard deviation of 2.88 inches. If the mean height today is the same as that of a half-century ago, what percentage of all samples of 25 of today"s women in their 20s have mean heights of at least 64.24 inches?

Does the sample size have an effect on the standard deviation of all possible sample means? Explain your answer.

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