In: Statistics and Probability
Test the given claim. Assume that a simple random sample is selected from a normally distributed population. Use either the P-value method or the traditional method of testing hypotheses.
Company A uses a new production method to manufacture aircraft altimeters. A simple random sample of new altimeters resulted in errors listed below. Use a 0.05 level of significance to test the claim that the new production method has errors with a standard deviation greater than 32.2 ft, which was the standard deviation for the old production method. If it appears that the standard deviation is greater, does the new production method appear to be better or worse than the old method? Should the company take any action?
negative 44−44,
7777,
negative 24−24,
negative 75−75,
negative 45−45,
1212,
1616,
5353,
negative 7−7,
negative 54−54,
negative 107−107,
negative 107−107
What are the null and alternative hypotheses?
A.
H0:
sigmaσless than<32.2
ft
H1:
sigmaσequals=32.2
ft
B.
H0:
sigmaσequals=32.2
ft
H1:
sigmaσgreater than>32.2
ft
C.
H0:
sigmaσequals=32.2
ft
H1:
sigmaσless than<32.2
ft
D.
H0:
sigmaσgreater than>32.2
ft
H1:
sigmaσequals=32.2
ft
E.
H0:
sigmaσequals=32.2
ft
H1:
sigmaσnot equals≠32.2
ft
F.
H0:
sigmaσnot equals≠32.2
ft
H1:
sigmaσequals=32.2
ft
Find the test statistic.
chi squaredχ2equals=nothing
(Round to two decimal places as needed.)
Determine the critical value(s).
The critical value(s) is/are
nothing.
(Use a comma to separate answers as needed. Round to two decimal places as needed.)
Since the test statistic is
▼
equal to
greater than
between
less than
the critical value(s),
▼
fail to rejectfail to reject
rejectreject
Upper H 0H0.
There is
▼
insufficient
sufficient
evidence to support the claim that the new production method has errors with a standard deviation greater than 32.2 ft.