Question

A lumber company is making boards that are 2696

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 49boards is taken, and it is found that they have a mean of 2699.1millimeters. Assume a population variance of 225. Is there evidence at the 0.1

level that the boards are too long and need to be trimmed?

Step 1 of 6 :

State the null and alternative hypotheses.

Answer #1

A lumber company is making boards that are 2716.0 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 23 boards is made,
and it is found that they have a mean of 2714.9 millimeters with a
standard deviation of 12.0. Is there evidence at the 0.1 level that
the boards are either too long or too short? Assume the population
distribution is approximately normal....

A lumber company is making boards that are 2578.0 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 20 is made,
and it is found that they have a mean of 2580.2 millimeters with a
variance of 64.00. 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 2923.0 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 16 is made,
and it is found that they have a mean of 2919.7 millimeters with a
standard deviation of 8.0. 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 2563.02563.0
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
1515 is made, and it is found that they have a mean of 2560.52560.5
millimeters with a standard deviation of 8.08.0. A level of
significance of 0.10.1 will be used to determine if the boards are
either too long or too short. Assume the population...

A lumber company is making doors that are 2058.0 millimeters tall.
If the doors are too long they must be trimmed, and if the doors
are too short they cannot be used. A sample of 18 is made, and it
is found that they have a mean of 2043.0 millimeters with a
standard deviation of 21.0. A level of significance of 0.1 will be
used to determine if the doors are either too long or too short.
Assume the population...

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 8 doors is made, and it is
found that they have a mean of 2073 millimeters with a standard
deviation of 21. Is there evidence at the 0.025 level that the
doors are too long and need to be trimmed? State the null and
alternative hypotheses for...

A lumber company is making doors that are 2058.02058.0
millimeters tall. If the doors are too long they must be trimmed,
and if the doors are too short they cannot be used. A sample of 77
is made, and it is found that they have a mean of 2046.02046.0
millimeters with a variance of 625.00625.00. A level of
significance of 0.10.1 will be used to determine if the doors are
either too long or too short. Assume the population distribution...

A carpenter is making doors that are 20582058 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 3333 doors is taken, and it
is found that they have a mean of 20682068 millimeters. Assume a
population standard deviation of 2020. Is there evidence at the
0.020.02 level that the doors are either too long or too short?
Find the P-value for the hypothesis test....

A lumber company is making doors that are 2058.0 millimeters
tall. If the doors are too long they must be trimmed, and if the
doors are too short they cannot be used. A sample of 17 is made,
and it is found that they have a mean of 2047.0 millimeters with a
standard deviation of 27.0. A level of significance of 0.1 will be
used to determine if the doors are either too long or too short.
Assume the population...

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 41 doors is taken, and it is found that they have
a mean of 2047 millimeters. Assume a population variance of 576. Is
there evidence at the 0.1 level that the doors are too short and
unusable?
Step 1 of 6:
State the null and
alternative hypotheses....

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