Question

Your lumber company has bought a machine that automatically cuts lumber. The seller of the machine...

Your lumber company has bought a machine that automatically cuts lumber. The seller of the machine claims that the machine cuts lumber to a mean length of 7 feet ​(84 ​inches) with a standard deviation of 0.6 inch. Assume the lengths are normally distributed. You randomly select 45 boards and find that the mean length is 84.26 inches. Complete parts​ (a) through​ (c).

a) Assuming the​ seller's claim is​ correct, what is the probability that the mean of the sample is  

84.2684.26

inches or​ more?

nothing

​(Round to four decimal places as​ needed.)

​(b) Using your answer from part​ (a), what do you think of the​ seller's claim?

The​ seller's claim appears to be

accurate.

inaccurate.

The sample mean

should

should not

be considered unusual​ because, if the​ seller's claim is​ true, the probability of obtaining this sample mean is

less than 5%.

less than 10%.

greater than 10%.

greater than 5%.

​(c) Assuming the​ seller's claim is​ true, would it be unusual to have an individual board with a length of

84.2684.26

​inches? Why or why​ not?

No,

Yes,

because

84.2684.26

is

is not

within 2 standard deviations of the mean for an individual board.

Homework Answers

Answer #1

The​ seller's claim appears to be . The sample mean should be considered ​ because, if the​ seller's claim is​ true, the probability of obtaining this sample mean is .

because 84.26 within 2 standard deviations of the mean for an individual board.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Your lumber company has bought a machine that automatically cuts lumber. The seller of the machine...
Your lumber company has bought a machine that automatically cuts lumber. The seller of the machine claims that the machine cuts lumber to a mean length of 7 feet ​(84 ​inches) with a standard deviation of 0.6 inch. Assume the lengths are normally distributed. You randomly select 42 boards and find that the mean length is 84.24 inches. Complete parts​ (a) through​ (c).
The lengths of lumber a machine cuts are normally distributed with a mean of 9595 inches...
The lengths of lumber a machine cuts are normally distributed with a mean of 9595 inches and a standard deviation of 0.70.7 inch. ​(a) What is the probability that a randomly selected board cut by the machine has a length greater than 95.3295.32 ​inches? ​(b) A sample of 4545 boards is randomly selected. What is the probability that their mean length is greater than 95.3295.32 ​inches?
The lengths of lumber a machine cuts are normally distributed with a mean of 105 inches...
The lengths of lumber a machine cuts are normally distributed with a mean of 105 inches and a standard deviation of 0.5 inch. ​(a) What is the probability that a randomly selected board cut by the machine has a length greater than 105.14 ​inches? ​(b) A sample of 42 boards is randomly selected. What is the probability that their mean length is greater than 105.14 ​inches?
A machine at Katz Steel Corporation makes 5-inch-long nails. The probability distribution of the lengths of...
A machine at Katz Steel Corporation makes 5-inch-long nails. The probability distribution of the lengths of these nails is approximately normal with a mean of 5 inches and a standard deviation of 0.10 inch. The quality control inspector takes a sample of 16 nails once a week and calculates the mean length of these nails. If the mean of this sample is either less than 4.94 inches or greater than 5.06 inches, the inspector concludes that the machine needs an...
A machine at Katz Steel Corporation makes 5-inch-long nails. The probability distribution of the lengths of...
A machine at Katz Steel Corporation makes 5-inch-long nails. The probability distribution of the lengths of these nails is approximately normal with a mean of 5 inches and a standard deviation of 0.12 inch. The quality control inspector takes a sample of 36 nails once a week and calculates the mean length of these nails. If the mean of this sample is either less than 4.95 inches or greater than 5.05 inches, the inspector concludes that the machine needs an...
A machine at Katz Steel Corporation makes 5-inch-long nails. The probability distribution of the lengths of...
A machine at Katz Steel Corporation makes 5-inch-long nails. The probability distribution of the lengths of these nails is approximately normal with a mean of 5 inches and a standard deviation of 0.12 inch. The quality control inspector takes a sample of 25 nails once a week and calculates the mean length of these nails. If the mean of this sample is either less than 4.95 inches or greater than 5.05 inches, the inspector concludes that the machine needs an...
A manufacturer claims that the life span of its tires is 52,000 miles. You work for...
A manufacturer claims that the life span of its tires is 52,000 miles. You work for a consumer protection agency and you are testing these tires. Assume the life spans of the tires are normally distributed. You select 100 tires at random and test them. The mean life span is 51.831 miles. Assume sigma = 800. Complete parts​ (a) through​ (c). (a) Assuming the​ manufacturer's claim is​ correct, what is the probability that the mean of the sample is 51,831...
Highway engineers in Ohio are painting white stripes on a highway. The stripes are supposed to...
Highway engineers in Ohio are painting white stripes on a highway. The stripes are supposed to be approximately 10 feet long. However, because of the machine, the operator, and the motion of the vehicle carrying the equipment, considerable variation occurs among the stripe lengths. Engineers claim that the variance of stripes should be less than 16 inches squared. At α = .05, use the sample lengths given here from 12 measured stripes (in feet and inches) to test the variance...
A manufacturer claims that the life span of its tires is 48,000 miles. You work for...
A manufacturer claims that the life span of its tires is 48,000 miles. You work for a consumer protection agency and you are testing these tires. Assume the life spans of the tires are normally distributed. You select one hundred tires at random and test them. The mean life span is 47,858 miles. Assume sigmaσequals=900 Complete parts​ (a) through​ (c). ​(a) Assuming the​ manufacturer's claim is​ correct, what is the probability that the mean of the sample is 47,858 miles...
A manufacturer claims that the life span of its tires is 52 comma 000 miles. You...
A manufacturer claims that the life span of its tires is 52 comma 000 miles. You work for a consumer protection agency and you are testing these tires. Assume the life spans of the tires are normally distributed. You select 100 tires at random and test them. The mean life span is 51 comma 729 miles. Assume sigmaequals900. Complete parts​ (a) through​ (c). ​(a) Assuming the​ manufacturer's claim is​ correct, what is the probability that the mean of the sample...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT