Question

In: Statistics and Probability

A lumber company is making boards that are 2563.0 millimeters tall. If the boards are too...

A lumber company is making boards that are 2563.0 millimeters tall. If the boards are too long they must be trimmed, and if the boards are too short they cannot be used. A sample of 15 is made, and it is found that they have a mean of 2560.5 millimeters with a standard deviation of 8.0. A level of significance of 0.1 will be used to determine if the boards are either too long or too short. Assume the population distribution is approximately normal. Is there sufficient evidence to support the claim that the boards are either too long or too short?

A.  There is sufficient evidence to support the claim that the boards are either too long or too short.

B.  There is not sufficient evidence to support the claim that the boards are either too long or too short.

Solutions

Expert Solution

This is the two tailed test .

The null and alternative hypothesis is

H0 : = 2563

Ha : 2563

Test statistic = t

= ( - ) / s / n

= (2560.5 - 2563) / 8 / 15

= -1.210

Test statistic = -1.210

df = 14

P-value = 0.2462

= 0.1

P-value >

Fail to reject the null hypothesis .

B.  There is not sufficient evidence to support the claim that the boards are either too long or too short.


Related Solutions

A lumber company is making boards that are 2906.0 millimeters tall. If the boards are too...
A lumber company is making boards that are 2906.0 millimeters tall. If the boards are too long they must be trimmed, and if the boards are too short they cannot be used. A sample of 12is made, and it is found that they have a mean of 2908.7 millimeters with a standard deviation of 11.0 A level of significance of 0.1 will be used to determine if the boards are either too long or too short. Assume the population distribution...
A lumber company is making boards that are 2709 millimeters tall. If the boards are too...
A lumber company is making boards that are 2709 millimeters tall. If the boards are too long they must be trimmed, and if they are too short they cannot be used. A sample of 38 boards is taken, and it is found that they have a mean of 2711.5 millimeters. Assume a population variance of 196. Is there evidence at the 0.05 level that the boards are too long and need to be trimmed? Step 1 of 6: State the...
A lumber company is making boards that are 2932.0 millimeters tall. If the boards are too...
A lumber company is making boards that are 2932.0 millimeters tall. If the boards are too long they must be trimmed, and if the boards are too short they cannot be used. A sample of 18 is made, and it is found that they have a mean of 2933.5 millimeters with a standard deviation of 13.0 . A level of significance of 0.1 will be used to determine if the boards are either too long or too short. Assume the...
A lumber company is making boards that are 2729.0 millimeters tall. If the boards are too...
A lumber company is making boards that are 2729.0 millimeters tall. If the boards are too long they must be trimmed, and if the boards are too short they cannot be used. A sample of 30 is made, and it is found that they have a mean of 2725.1 millimeters with a standard deviation of 12.0. A level of significance of 0.05 will be used to determine if the boards are either too long or too short. Assume the population...
A lumber company is making boards that are 2716.0 millimeters tall. If the boards are too...
A lumber company is making boards that are 2716.0 millimeters tall. If the boards are too long they must be trimmed, and if the boards are too short they cannot be used. A sample of 23 is made, and it is found that they have a mean of 2714.9 millimeters with a standard deviation of 12.0. A level of significance of 0.1 will be used to determine if the boards are either too long or too short. Assume the population...
A lumber company is making boards that are 2997.0 millimeters tall. If the boards are too...
A lumber company is making boards that are 2997.0 millimeters tall. If the boards are too long they must be trimmed, and if they are too short they cannot be used. A sample of 22 boards is made, and it is found that they have a mean of 2995.6 millimeters with a standard deviation of 9.0. Is there evidence at the 0.1 level that the boards are too short and unusable? Assume the population distribution is approximately normal. Step 4...
A lumber company is making boards that are 2979 2979 millimeters tall. If the boards are...
A lumber company is making boards that are 2979 2979 millimeters tall. If the boards are too long they must be trimmed, and if they are too short they cannot be used. A sample of 26 26 boards is made, and it is found that they have a mean of 2979.5 2979.5 millimeters with a standard deviation of 15 15 . Is there evidence at the 0.025 0.025 level that the boards are too long and need to be trimmed?...
A lumber company is making boards that are 2785 2785 millimeters tall. If the boards are...
A lumber company is making boards that are 2785 2785 millimeters tall. If the boards are too long they must be trimmed, and if they are too short they cannot be used. A sample of 39 39 boards is taken, and it is found that they have a mean of 2780.6 2780.6 millimeters. Assume a population standard deviation of 10 10 . Is there evidence at the 0.1 0.1 level that the boards are too short and unusable?
A carpenter is making doors that are 2058.0 millimeters tall. If the doors are too long...
A carpenter is making doors that are 2058.0 millimeters tall. If the doors are too long they must be trimmed, and if they are too short they cannot be used. A sample of 14 doors is made, and it is found that they have a mean of 2071.0 millimeters with a standard deviation of 32.0. Is there evidence at the 0.05 level that the doors are too long and need to be trimmed? Assume the population distribution is approximately normal....
A carpenter is making doors that are 2058 millimeters tall. If the doors are too long...
A carpenter is making doors that are 2058 millimeters tall. If the doors are too long they must be trimmed, and if they are too short they cannot be used. A sample of 39 doors is taken, and it is found that they have a mean of 2069 millimeters. Assume a population standard deviation of 24. Is there evidence at the 0.02 level that the doors are either too long or too short? Step 1 of 3: State the null...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT