Question

Asked Apr 12, 2019

A bolt manufacturer wants to investigate the machine that produces bolts with a diameter of 0.27 centimeter. if the variance of the diameters is equal to 0.025, then the machine is working as expected. a random sample of 11 bolts has a standard deviation of 0.3199. does the manufacturer have evidence at the a =0.025 level that this variance of the bolt diemeters is more than required?assum the population is normally distributed.

1.state the null and alternative hypothesis. round to 4 decimal places when necessary.

2.determine the critical value of the test statistic. If the test is two tailed, separate the values with a comma. Round to 3 decimal places.

3.determine the value of the test statistic. Round to 3 decimals.

4. Make the decision to reject or fail hypothesis.

5. What is the conclusion?

Step 1

Hey, since there are multiple subparts posted, we will answer first three parts. If you want any specific part to be answered then please submit that question only or specify the subpart number in your message.

Step 2

1.

**Hypotheses:**

Let *σ* be the true population standard deviation of the diameters of the bolts. The aim is to check whether the variance of the bolt diameters is more than required or not. The null and the alternative hypothesis is,

*H*_{0} : *σ ^{2}* = 0.025

That is, the diameter is 0.025.

*H*_{1} : *σ ^{2}* > 0.025.

That is, the diameter is more than 0.025.

Step 3

2.

*Critical value:*

For testing this, Chi-square test can be used.

The level of significance is α = 0.0...

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