Explain hypothesis testing to a friend, using the following scenario as a model. Describe the hypotheses, the sample statistic, the P-value, the meanings of Type I and Type II errors, and the level of significance. Discuss the significance of the results. Formulas are not required. A team of research doctors designed a new knee surgery technique utilizing much smaller incisions than the standard method. They believe recovery times are shorter when the new method is used. Under the old method, the average recovery time for full use of the knee is μ1 = 4.5 months. A random sample of 39 surgeries using the new method showed the average recovery time to be μ2 = 3.7 months, with sample standard deviation of 1.7 months. The P-value for the test is 0.0028. The research team states that the results are statistically significant at the 1% level of significance.
Explain hypothesis testing to a friend, using the following scenario as a model. Describe the hypotheses, the sample statistic, the P-value, the meanings of Type I and Type II errors, and the level of significance. Discuss the significance of the results. Formulas are not required.
A team of research doctors designed a new knee surgery technique utilizing much smaller incisions than the standard method. They believe recovery times are shorter when the new method is used. Under the old method, the average recovery time for full use of the knee is μ1 = 4.5 months. A random sample of 39 surgeries using the new method showed the average recovery time to be μ2 = 3.7 months, with sample standard deviation of 1.7 months. The P-value for the test is 0.0028. The research team states that the results are statistically significant at the 1% level of significance.
Describe the hypotheses.
What does the P-value
What is the meaning of a Type I error?
What is the meaning of a Type II error?
What does it mean to be statistically significant at the 1% level of significance?
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