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 Which of the following statements best represents the relationship between statistical power and effect size? A) Statistical power is a measure of the ability to correctly reject the null hypothesis which becomes harder to do when the effect size, or difference between groups, decreases. B) Statistical power is a measure of how different two groups are, and effect size measures the ability to reliably detect that difference. As power increases, effect size will also increase. C) Statistical power and effect size are independent and unrelated measures. D) Statistical power is a measure of the ability to correctly reject the null hypothesis which becomes harder to do when the effect size, or difference between groups, increases.For unlimited access to Homework Help, a Homework+ subscription is required. Unlock all answers
Get 1 free homework help answer. Already have an account? Log in __________ statistics are used to infer that the results from a sample are reflective of the true population scores. When comparing group means, the _________ states that group means are equal. A sampling distribution is __________. Which of the following statements is FALSE? The F statistic is a ratio of two types of variance: __________ variance and error variance. Cohen's d expresses effect size in terms of _________ units. A Type I error occurs when the null hypothesis is _________. Which of the following statements is TRUE? If a mechanic looks at your car engine and says there is nothing wrong with it and your car breaks down when you leave the garage, what type of error did the mechanic make? If the null hypothesis was rejected and there was 1 chance out of 100 that the decision was wrong, what was the alpha level in the study? The probability of a Type II error is related to __________. Which of the following is NOT a reason for a Type II error? Dr. P is using a t-test to compare the means of two groups. There are 25 participants in each group. How many degrees of freedom are there in this test? How is the power of a statistical test related to the probability of a Type II error? Which of the following is NOT a major statistical software program? A researcher believes that students who stay up all night cramming the night before an exam will not do as well as those who get a full 7 hours of sleep the night before the test. What is the null hypothesis in this example? The most common alpha level probability used is Dr. Data randomly assigned 10 participants to drink a caffeinated beverage and another 10 people to drink uncaffeinated beverage. He then recorded their average driving speed over a 10 minute period. Caffeinated drivers averaged 50 mph with a variance of 20 and uncaffeinated drivers averaged 30 mph with a variance of 20. What is t? A researcher is interested in the effects of distraction on driving. He randomly assigns 30 participants to either drive while texting, while listening to the radio, or by talking on the phone. The number of mistakes each participant makes is recorded. What type of analysis should be done on the collected data? A researcher calculated a t value of 10 with 20 degrees of freedom. What is the effect size in this study? Which of the following is false? Which of the following is true about effect size in hypothesis testing quizlet?Which of the following is TRUE about effect size in hypothesis testing? Effect size is an objective and standardized measurement.
Which of the following accurately describes the critical region quizlet?Which of the following accurately describes the critical region? Outcomes with a very low probability if the null hypothesis is true.
Under which circumstance can a very small treatment effect still be statistically significant?Answer and Explanation: The circumstance in which a very small treatment effect can be found to be significant is best described by option A: If the sample size big and the sample variance is small. A large sample size will increase the probability that the results of a statistical test will yield significant results.
Which of the following is a fundamental difference between the t statistic and a zThe major difference between using a Z score and a T statistic is that you have to estimate the population standard deviation.
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Which of the following statements about the comparison between affect size and power is correct?
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