/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q 16RP. Paint Durability. A paint manufa... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

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(x≤4.5)=Px-μσ≤4.5-μσ=Pz≤4.5-50.5=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¯=Pz≤4.5-50.158=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 â–¡Cumulative Probability and enter the given data values

Mean: 0

Standard deviation: 1

Step 4: Tick â–¡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¯=Pz≤4.9-50.158=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 â–¡ Cumulative Probability and enter the given data values

Mean: 0

Standard deviation: 1

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

Input constant: -0.633

Step 5: Press Ok

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

7.42 NBA Champs. Repeat parts (b) and (c) of Exercise7.41 for samples of size 1. For part (b), use your answer to Exercise7.12(b).

Worker Fatigue. A study by M. Chen et al. titled "Heat Stress Evaluation and Worker Fatigue in a Steel Plant (American Industrial Hygiene Association, Vol. 64. Pp. 352-359) assessed fatigue in steelplant workers due to heat stress. If the mean post-work heart rate for casting workers equals the normal resting heart rate of 72beats per minute (bpm), find the probability that a random sample of 29 casting workers will have a mean post-work heart rate exceeding 78.3bpm Assume that the population standard deviation of post-work heart rates for casting workers is 11.2 bpm. State any assumptions that you are making in solving this problem.

Population data: 2,3,5,7,8

Part (a): Find the mean, μ, of the variable.

Part (b): For each of the possible sample sizes, construct a table similar to Table 7.2on the page localid="1652592045497" 293and draw a dotplot for the sampling for the sampling distribution of the sample mean similar to Fig 7.1on page 293.

Part (c): Construct a graph similar to Fig 7.3and interpret your results.

Part (d): For each of the possible sample sizes, find the probability that the sample mean will equal the population mean.

Part (e): For each of the possible sample sizes, find the probability that the sampling error made in estimating the population mean by the sample mean will be 0.5or less, that is, that the absolute value of the difference between the sample mean and the population mean is at most0.5.

7.51 Earthquakes. According to The Earth: Structure, Composition and Evolution (The Open University, S237), for earthquakes with a magnitude of 7.5or greater on the Richter scale, the time between successive earthquakes has a mean of 437days and a standard deviation of 399days. Suppose that you observe a sample of four times between successive earthquakes that have a magnitude of 7.5 or greater on the Richter scale.
a. On average, what would you expect to be the mean of the four times?
b. How much variation would you expect from your answer in part (a)? (Hint: Use the three-standard-deviations rule.)

What is another name for the standard deviation of the variable x ? What is the reason for that name?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.