In: Statistics and Probability
You wish to test the claim μ<89.8μ<89.8 at a significance
level of 0.0010.001.
You believe the population is normally distributed, but you do not
know the standard deviation. You obtain the following sample of
data:
data |
---|
43.4 |
100.8 |
71 |
39.6 |
81.7 |
83.7 |
55.9 |
74 |
63.1 |
54.7 |
86.5 |
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...
This test statistic leads to a decision to...
As such, the final conclusion is that...
Here claim is that μ<89.8
So hypothesis is vs
For the given data sample mean is
Create the following table.
data | data-mean | (data - mean)2 |
43.4 | -25.1818 | 634.12305124 |
100.8 | 32.2182 | 1038.01241124 |
71 | 2.4182 | 5.84769124 |
39.6 | -28.9818 | 839.94473124 |
81.7 | 13.1182 | 172.08717124 |
83.7 | 15.1182 | 228.55997124 |
55.9 | -12.6818 | 160.82805124 |
74 | 5.4182 | 29.35689124 |
63.1 | -5.4818 | 30.05013124 |
54.7 | -13.8818 | 192.70437124 |
86.5 | 17.9182 | 321.06189124 |
So
The t-critical value for a left-tailed test, for a significance level of α=0.001 is
tc=−4.144
Graphically
Hence test statistics is
As test statistics do not fall in the rejection region, we fail to reject the null hypothesis
Hence we do not have sufficient evidence to support the claim that μ<89.8
Correct answers are