Identify the three factors that determine the power of a statistical test.Select one or more:a.statistical treatmentb.null hypothesis testingc.level of statistical significanced.sample sizee.size of the treatment effectf.pobability
Question
Identify the three factors that determine the power of a statistical test.Select one or more:a.statistical treatmentb.null hypothesis testingc.level of statistical significanced.sample sizee.size of the treatment effectf.pobability
Solution
The three factors that determine the power of a statistical test are:
c. Level of statistical significance: This is the probability of rejecting the null hypothesis when it is true. The lower the level of significance, the higher the power of the test.
d. Sample size: Larger sample sizes increase the power of a statistical test. This is because larger samples are more likely to detect a true effect if one exists.
e. Size of the treatment effect: The larger the difference between the treatment and control groups, the higher the power of the test. This is because larger effects are easier to detect.
Similar Questions
Recall that the power of a test is the probability that we reject H_0 when H_0 is false. Which of the following are true? Select one or more answers.Group of answer choicesIf sample size increases then power increases.If H_0 is very likely to be true then the power is higher when compared to when H_0 is very likely to be false.If α increases then power increases.If the effect size increases then power increases.
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Power of test depend on excepta.significance levelb.the reliability of the sample sizec.the effect sized.population size
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