A manufacturer uses a new production method to produce steel rods. A random sample of 3 steel rods resulted in lengths with a standard deviation of 3.42 cm. At the 0.01 significance level, using the critical value method, test the claim that the new production method has lengths with a standard deviation different from 3.13 cm, which was the standard deviation for the old method. Enter the smallest critical value. (Round your answer to nearest thousandth.) 1. Extract Information:

A manufacturer uses a new production method to produce steel rods. A random sample of 3 steel rods resulted in lengths with a standard deviation of 3.42 cm. At the 0.01 significance level, using the critical value method, test the claim that the new production method has lengths with a standard deviation different from 3.13 cm, which was the standard deviation for the old method. Enter the smallest critical value. (Round your answer to nearest thousandth.) 1. Extract Information:

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Confidence Intervals

When we calculate intervals in probability and statistics, it can be simply termed as finding out a confidence interval. The confidence interval is usually calculated from the data set which is observed. The value of the parameter that needs to be calculated is present here only.

Question

smallest critical value?

A manufacturer uses a new production method to produce steel rods. A random sample of 3 steel rods resulted in lengths with a standard deviation of 3.42 cm. At the 0.01 significance level, using the critical value method, test the claim that the new production method has lengths with a standard deviation different from 3.13 cm, which was the standard deviation for the old method.

Enter the smallest critical value. (Round your answer to nearest thousandth.)

1. Extract Information:

2. Original Claim:

3. $ H_0 $:
$ H_1 $:

4. Distribution (Graphically):

5. Critical Value(s):

6. Test Statistic:

7. Statistical Conclusion:

8. Final Words:

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