In: Statistics and Probability
You wish to test the following claim (HaHa) at a significance
level of ?=0.01?=0.01.
Ho:?=76.4Ho:?=76.4
Ha:??76.4Ha:??76.4
You believe the population is normally distributed, but you do not
know the standard deviation. You obtain the following sample of
data:
data
80.9
83.6
77.8
82.2
73.9
89.9
81.5
75.8
63.1
What is the critical value for this test? (Report answer accurate
to three decimal places.)
critical value = ±±
What is the test statistic for this sample? (Report answer accurate
to three decimal places.)
test statistic =
The test statistic is...
in the critical region
not in the critical region
This test statistic leads to a decision to...
reject the null
accept the null
fail to reject the null
As such, the final conclusion is that...
There is sufficient evidence to warrant rejection of the claim
that the population mean is not equal to 76.4.
There is not sufficient evidence to warrant rejection of the claim
that the population mean is not equal to 76.4.
The sample data support the claim that the population mean is not
equal to 76.4.
There is not sufficient sample evidence to support the claim that
the population mean is not equal to 76.4.
Given data
population mean
number of sample talken (n)=9
Sum of the sample
sample mean
Sum of the squere for the sample difference from mean
Variance
Sample Standard daviation
Now the hypothesis is
'
Now Z criticle value from the Standard table of probablity distribution for two tailed test at is
Test static form the formula we have
Since it is a two tailed test so criticle range is form -2.576 to +2.576
since -2.576<0.3323<+2.576
so we can say that the test static is in the criticle region
Decision :--
Since test static lies in the criticle region so we can say that we
Fail to reject the null hypothesis
Conclusion:---
As we fail to reject the null hypothesis which says that the Population mean is equal to 76.4 so we can say that the conclusion of this hypothesis will be
There is not sufficient evidence to warrant rejection of the claim that the population mean is not equal to 76.4.