In a study concerning the influence of milk on growth, TWO equally sized groups of children are to be given different diets and their growth will be measured. (a) Calculate the number of children in each group that can find a difference of 0.5 cm in a distribution with a standard deviation of 2 cm, with a power of 90%, using a two-sided test at the 1% level (a = 0.01). [Hint: in G*Power choose Test-Means-Two independent groups] Effect size= Sample size of each group = Total number of children in the study = (b) If the study only used 500 children, 250 in each group, what would be the power of the study? Power of the study =

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.1: Measures Of Center
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in a study concerning the influence of milk on growth, TWO equally sized groups of children are to be given different
diets and their growth will be measured.
(a) Calculate the number of children in each group that can find a difference of 0.5 cm in a distribution with a
standard deviation of 2 cm, with a power of 90%, using a two-sided test at the 1% level (a = 0.01).
[Hint: in G*Power choose Test
Means-Two independent groups]
Effect size=
Sample size of each group =
Total number of children in the study
(b) If the study only used 500 children, 250 in each group, what would be the power of the study?
Power of the study =
Transcribed Image Text:in a study concerning the influence of milk on growth, TWO equally sized groups of children are to be given different diets and their growth will be measured. (a) Calculate the number of children in each group that can find a difference of 0.5 cm in a distribution with a standard deviation of 2 cm, with a power of 90%, using a two-sided test at the 1% level (a = 0.01). [Hint: in G*Power choose Test Means-Two independent groups] Effect size= Sample size of each group = Total number of children in the study (b) If the study only used 500 children, 250 in each group, what would be the power of the study? Power of the study =
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