STATISTICAL TECHNIQUES AND TOOLS
TESTS OF SIGNIFICANCE
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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A medical researcher is working on a new treatment for a certain type of cancer. After diagnosis, the average survival time on the standard treatment is two years. In an early trial, she tries the new treatment on five subjects and finds that they have an average survival time of four years after diagnosis. Although the survival time has doubled, the results of a t-test for mean survival time are not statistically significant even at the 0.10 significance level. Which of the following is the best course of action for the researcher?
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Since the test was not statistically significant, she should abandon study of this treatment and move on to more promising ones
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She should reexamine her computations-it is likely that she made an error
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She should increase the significance level of her test so that she rejects the null hypothesis, since the treatment clearly has a positive impact.
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She should use a z-test instead of a t-test.
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She should expand her research program to include more subjects-this was a very small sample.
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Explanation:
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