Is there evidence to support the claim that the mean compression increases with the temperature at the storage condition? Use ??=0.05.
a) In Minitab, calculate “Descriptive Statistics” for the two samples. Copy and paste the output here.
b) State the hypotheses.
c) List the assumptions. Check the assumptions are satisfied. In Minitab, make two normal probability plots, one for each sample. Copy and paste the graphs into your report. Do these plots support of the assumption of normality? Why?
d) Calculate the test statistic.
e) Find the p-value.
f) Make a decision.
g) State the conclusion in terms of the problem.
h) In Minitab, perform the appropriate test. Copy and paste the output into your report. In your output, circle the hypotheses, test statistic, and p-value. They should match your answers from above.
i) Calculate a 95% one-sided CI for ??1 ? ??2.
j) Provide an interpretation of the CI.
k) Using the CI, make a decision regarding ??0. Explain how the decision was made.
a)
Descriptive Statistics: 60C, 50C
Variable N N* Mean SE Mean StDev
Minimum Q1
Median Q3 Maximum
60C 9 0
0.1786 0.0312 0.0936 0.0620 0.1115 0.1530
0.2300 0.3750
b)
Ho: mu1 - mu2 = 0
Ha: mu1 - mu2 < 0
c)
check yourself
d)
TS = -2.33
e)
p-value = 0.016
f)
we reject the null as p-value < 0.05
g)
we conclude that there is significant evidence that the mean
compression increases with the temperature at the storage
condition
h)
Two-Sample T-Test and CI: 50C, 60C
Two-sample T for 50C vs 60C
N Mean
StDev SE Mean
50C 9 0.0964 0.0488 0.016
60C 9 0.1786 0.0936 0.031
Difference = ? (50C) - ? (60C)
Estimate for difference: -0.0821
95% upper bound for difference: -0.0207
T-Test of difference = 0 (vs <): T-Value = -2.33 P-Value = 0.016
DF = 16
Both use Pooled StDev = 0.0746
i)
95% CI for difference: (-0.1567, -0.0075)
j) we are 95% confident that the true population difference lies in
this interval
k) since every data is below 0
we reject the null
Is there evidence to support the claim that the mean compression increases with the temperature at...
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