The piston diameter of a certain hand pump is 0.6 inch. The manager determines that the diameters are normally distributed, with a mean of 0.6 inch and a standard deviation of 0.007 inch. After recalibrating the production machine, the manager randomly selects 27 pistons and determines that the standard deviation is 0.0052 inch. Is there significant evidence for the manager to conclude that the standard deviation has decreased at the α=0.10 level of significance? What are the correct hypotheses for this test? The null hypothesis is H0: sigma equals 0.003. The alternative hypothesis is H1: (sigma less than) = Calculate the value of the test statistic. x^2 = (Round to three decimal places as needed.) Use technology to determine the P-value for the test statistic. The P-value is (Round to three decimal places as needed.) What is the correct conclusion at the level of significance? Since the P-value is less than the level of significance, do not reject the null hypothesis. There is sufficient evidence to conclude that the standard deviation has decreased at the level of significance
The piston diameter of a certain hand pump is
inch. The manager determines that the diameters are
inch and a standard deviation of
inch. After recalibrating the production machine, the manager randomly selects
pistons and determines that the standard deviation is
inch. Is there significant evidence for the manager to conclude that the standard deviation has decreased at the
level of significance?
What are the correct hypotheses for this test?
The null hypothesis is H0:
sigma
equals
0.003.
The alternative hypothesis is H1: (sigma less than) =
Calculate the value of the test statistic.
x^2 =
(Round to three decimal places as needed.)
Use technology to determine the P-value for the test statistic.
The P-value is
(Round to three decimal places as needed.)
What is the correct conclusion at the level of significance?
Since the P-value is less than the level of significance, do not reject the null hypothesis. There is sufficient evidence to conclude that the standard deviation has decreased at the level of significance
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