We wish to test if there is a difference in yield of tomato plants when using either brand A or brand B fertilizer. For each fertilizer, 30 plants were grown and the fruit harvested and weighed. The mean of the brand A treated plants was 15 lbs per plant with a s.d. of 4 lbs. The mean of the brand B plants was 18 lbs per plant with a s.d. of 2 lbs. What is the 95% confidence interval for the true difference in yield? 3+/-
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We wish to test if there is a difference in yield of tomato plants when using either brand A or brand B fertilizer. For each fertilizer, 30 plants were grown and the fruit harvested and weighed. The mean of the brand A treated plants was 15 lbs per plant with a s.d. of 4 lbs. The mean of the brand B plants was 18 lbs per plant with a s.d. of 2 lbs. Lets conduct a test to determine if brand B results in higher yield than brand A. We want to be 99% sure of our conclusion. What value of z will need to be exceeded in order to reject the null hypothesis? 3.0 2.33 1.96 2.575
Sheryl E.
We wish to test if there is a difference in yield of tomato plants when using either brand A or brand B fertilizer. For each fertilizer, 30 plants were grown and the fruit harvested and weighed. The mean of the brand A treated plants was 15 lbs per plant with a s.d. of 4 lbs. The mean of the brand B plants was 18 lbs per plant with a s.d. of 2 lbs. Lets conduct a test to determine if brand B results in higher yield than brand A. Based on this scenario, this will be a 1 - tail test True False
Dominador T.
We wish to test if there is a difference in yield of plants when using either brand A or brand B fertilizer. For each fertilizer, 30 plants were grown and the fruit harvested and weighed. The mean of the brand A treated plants was 15 lbs per plant with a standard deviation of 4 lbs. The mean of the brand B plants was 18 lbs per plant with a standard deviation of 2 lbs. A) When you conduct the test, the conclusion you arrive at is: z = 3.7, so reject null; Brand B results in higher yield. z = 0.34, so do not reject null. z = 3.0, so reject null; Brand B results in higher yield. z = 7.5, so reject null; Brand B results in higher yield. B) Let's conduct a test to determine if brand B results in higher yield than brand A. We want to be 99% sure of our conclusion. What value of z will need to be exceeded in order to reject the null hypothesis? 3.0, 2.33, 2.96, or 2.575? C) True or False: Let's conduct a test to determine if brand B results in higher yield than brand A. H0: Brand B = Brand A Ha: Brand B > Brand A D) True or False: Let's conduct a test to determine if brand B results in higher yield than brand A. Based on this scenario, this will be a one-tail test.
Supreeta N.
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