Question

An inspector at a lumberyard needs to find out if their kiln dry bulb is the correct temperature. In order to properly dry the lumber, the average bulb temperature needs to be at most 130 degrees Fahrenheit. An analyst collects data on the bulb temperature over the course of several weeks, and then tests the claim that the bulb's average temperature is at most 130 degrees Fahrenheit. He uses a significance level of 0.05. Choose the correct direction of the test and the appropriate sampling distribution. Two-tailed test; z-distribution. Two-tailed test; t-distribution. Left-tailed test; z-distribution. Left-tailed test; t-distribution. Right-tailed test; t-distribution. We do not have enough information. Right-tailed test; z-distribution.

          An inspector at a lumberyard needs to find out if their kiln dry bulb is the correct temperature. In order to properly dry the lumber, the average bulb
temperature needs to be at most 130 degrees Fahrenheit. An analyst collects data on the bulb temperature over the course of several weeks, and then tests
the claim that the bulb's average temperature is at most 130 degrees Fahrenheit. He uses a significance level of 0.05.
Choose the correct direction of the test and the appropriate sampling distribution.
Two-tailed test; z-distribution.
Two-tailed test; t-distribution.
Left-tailed test; z-distribution.
Left-tailed test; t-distribution.
Right-tailed test; t-distribution.
We do not have enough information.
Right-tailed test; z-distribution.

Show more…

An inspector at a lumberyard needs to find out if their kiln dry bulb is the correct temperature. In order to properly dry the lumber, the average bulb
temperature needs to be at most 130 degrees Fahrenheit. An analyst collects data on the bulb temperature over the course of several weeks, and then tests
the claim that the bulb's average temperature is at most 130 degrees Fahrenheit. He uses a significance level of 0.05.
Choose the correct direction of the test and the appropriate sampling distribution.
Two-tailed test; z-distribution.
Two-tailed test; t-distribution.
Left-tailed test; z-distribution.
Left-tailed test; t-distribution.
Right-tailed test; t-distribution.
We do not have enough information.
Right-tailed test; z-distribution.

Added by Megan C.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

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Solved by Expert Madhur L

07/19/2023

Step 1

This is a one-sided claim, as it specifies a maximum temperature. Therefore, the appropriate direction of the test is a left-tailed test. Show more…

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An inspector at a lumberyard needs to find out if their kiln dry bulb is the correct temperature. In order to properly dry the lumber, the average bulb temperature needs to be at most 130 degrees Fahrenheit. An analyst collects data on the bulb temperature over the course of several weeks, and then tests the claim that the bulb's average temperature is at most 130 degrees Fahrenheit. He uses a significance level of 0.05 . Choose the correct direction of the test and the appropriate sampling distribution. Two-tailed test; z-distribution. Two-tailed test; t-distribution. Left-tailed test; z-distribution. Left-tailed test; t-distribution. Right-tailed test; t-distribution. We do not have enough information. Right-tailed test; z-distribution. An inspector at a lumberyard needs to find out if their kiln dry bulb is the correct temperature. In order to properly dry the lumber,the average bulb temperature needs to be at most 130 degrees Fahrenheit. An analyst collects data on the bulb temperature over the course of several weeks, and then tests the claim that the bulb's average temperature is at most 130 degrees Fahrenheit. He uses a significance level of 0.05 Choose the correct direction of the test and the appropriate sampling distribution. O Two-tailed test; z-distribution O Two-tailed test; t-distribution. O Left-tailed test; z-distribution O Left-tailed test; t-distribution O Right-tailed test; t-distribution O We do not have enough information. O Right-tailed test z-distribution

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