Question
In: Statistics and Probability
I am interested in testing whether total prey consumption by sea otters differs in cold water...
I am interested in testing whether total prey consumption by sea otters differs in cold water temperatures relative to some hypothesized value. From some pilot data, I have been able to estimate the variance at 6.4. I would like to be able to detect a difference of about 2 grams of prey eaten per unit time. Assuming I set my type I error rate at 0.05, what kind of sample size do I need to achieve a power of 90%?
Suppose I can only measure prey consumption in 10 sea otters, what will my minimum detectable difference be, assuming all else remains the same?
Lastly, suppose I fix my minimum detectable difference at 4 and collect data from 10 sea otters. What kind of power will I have assuming again that my variance and type I error rate are unchanged from above?
Solutions
orchestra answered 2 years agoRelated Solutions
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following questions regarding this printout:
One-Sample T Test
Null Hypothesis: μ = 35
Alternative Hyp: μ ≠ 35
Lower
Upper
Variable
Mean
SE
T
DF
P 95% C.I.
95% C.I.
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92.075 48.666
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Student Edition of Statistix
10.0
4/21/2020, 5:32:15 AM
Two-Sample T Tests for Close by Exchange
Exchange
N Mean
SD SE
0
40
51.664 73.709 11.654
1
25
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T-Tests for Mean Difference
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Create the printout for testing whether the mean low stock price of all NYSE stocks differs...
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low stock price of all NYSE
stocks differs from $35 and attach it here. Answer the
following questions regarding this printout:
Student Edition of Statistix
10.0
4/21/2020, 5:29:39 AM
One-Sample T Test
Null Hypothesis: μ = 35
Alternative Hyp: μ ≠ 35
Lower Upper
Variable Mean
SE
T
DF
P 95% C.I.
95% C.I.
Low 28.369
5.2626 -1.26
64
0.2123 17.856...
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