Researcher A uses a sample of n = 100 for their hypothesis test while Researcher B uses a sample of n = 50. Which of the following statements is true? a. Researcher B's data will yield a larger standard error value, which will decrease their likelihood of rejecting the null hypothesis b. Researcher A is doing higher quality research than Researcher B c. Researcher B's data will yield a smaller standard error value, which will increase their likelihood of rejecting the null hypothesis d. Researcher A's data will yield a larger standard error value, which will increase their likelihood of rejecting the null hypothesis
Researcher A uses a sample of n = 100 for their hypothesis test while Researcher B uses a sample of n = 50. Which of the following statements is true? a. Researcher B's data will yield a larger standard error value, which will decrease their likelihood of rejecting the null hypothesis b. Researcher A is doing higher quality research than Researcher B c. Researcher B's data will yield a smaller standard error value, which will increase their likelihood of rejecting the null hypothesis d. Researcher A's data will yield a larger standard error value, which will increase their likelihood of rejecting the null hypothesis
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.CR: Chapter 12 Review
Problem 14CR
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Researcher A uses a sample of n = 100 for their hypothesis test while Researcher B uses a sample of n = 50. Which of the following statements is true?
a.
Researcher B's data will yield a larger standard error value, which will decrease their likelihood of rejecting the null hypothesis
b.
Researcher A is doing higher quality research than Researcher B
c.
Researcher B's data will yield a smaller standard error value, which will increase their likelihood of rejecting the null hypothesis
d.
Researcher A's data will yield a larger standard error value, which will increase their likelihood of rejecting the null hypothesis
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