In: Statistics and Probability
PLEASE EXPLAIN HOW TO DO ON TI-84
You wish to test the following claim (HAHA) at a significance
level of α=0.02α=0.02.
Ho:μ=54.2Ho:μ=54.2
HA:μ≠54.2HA:μ≠54.2
You believe the population is normally distributed, but you do not
know the standard deviation. You obtain the following sample of
data:
data |
---|
41.7 |
40.8 |
40.8 |
76.1 |
71.1 |
60.1 |
44 |
46 |
50.1 |
56.1 |
What is the critical value for this test? (Round to the
thousandths)
critical value = ±±
Enter the data into L1 and make sure to use the "Data" option in
T-Test.
What is the test statistic for this sample? (Round to
the thousandths)
test statistic =
The test statistic is...
This test statistic leads to a decision to...
As such, the final conclusion is that...
Critical value
area = 0.9900
df = degree of freedom = n - 1 = 10 - 1 = 9
Now follow the path of the TI - 84 for the critical value
Press " 2ND " .....> Press " VARS" ......>select"invT
Area = 0.99
df = 9
press " enter "
You get the critical value as 2.8214
Our test is two tailed test because Ha Contains not equal to sign
So the critical value has sign and round to 3 decimal place
Answer : Critical value =
Follow the path of the TI - 84
Press " STAT ......> Select " EDIT " .......> select " Edit " ......> Select " L1 "
Enter the given data one by one in L1
Here we use the T test because population standard deviation is not known
Press " STAT " .......> select " TEST " .......>Select " T Test ......> select "Data "
List : L1 ( For the L1 press 2ND and then press " 1 " )
Freq : 1
Then select " calculate "
Press " enter "
t = test statistics = -0.3743246934
p = p value = 0.7168299497
What is the test statistic for this sample?
Answer :Test statistics = - 0 .374
The test statistic is.Not in the critical region
( Because -.2.821 < -0.374 < 2.821 and the critical region is < -2.821 and > 2.821 )
Decision rule
- critical value < Test statistics < +critical value ( Then we Fail to reject H0 )
Otherwise we reject H0
so the decision is " Fail to reject the Null "
Conclusion
There is sufficient evidence to warrant rejection of the claim that the population mean is not equal to 54.2.