1) Suppose n1 = 15,
n2 = 12, the means for samples 1 and 2 are 70.5 and
78.5, respectively, and the standard deviations for samples 1 and 2
are 8.27 and 8.38, respectively. Test H0: μ1
≤ μ2 vs. Ha: μ1 > μ2
using α = 0.05. Be sure to:
a) Address all necessary assumptions for running a
t-test;
b) Regardless of whether or not the assumptions
are met, run a t-test. calculate the test statistic;
c) Calculate the p-value;
d) State your conclusion;
e) Construct and interpret a 95% confidence
interval for the difference between the two population means.
2) A researcher investigated the effects of cold on hypertension in rats by randomly assigning six rats to a 26°C environment and six to a 5°C environment and recording their blood pressures.
Rat | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Temp (°C) | 26 | 26 | 26 | 26 | 26 | 26 | 5 | 5 | 5 | 5 | 5 | 5 |
Blood Pressure | 152 | 149 | 176 | 157 | 182 | 179 | 369 | 354 | 423 | 366 | 375 | 384 |
a) Check the assumptions for running a t-test
for the difference between the two treatment means. Which ones are
satisfied and which aren’t Explain.
b) Regardless of your answer to part (a), run a
t-test for the difference between the two treatment means at the α
= 5% level of significance. Specifically, we are interested in
knowing if there exists sufficient statistical evidence to support
the claim that low temperatures increase blood pressure in rats. Be
sure to state the null and alternative hypotheses, calculate the
appropriate test statistic, calculate the p-value, and state your
conclusions.
c) Construct a t-interval for the difference
between the blood pressures of the two treatment groups. Use 95%
confidence.
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