red curve = 15 oz green curve = 10 oz blue curve = 5 oz Explain how you determined which difference goes with which curve in questio

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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red curve = 15 oz

green curve = 10 oz

blue curve = 5 oz

Explain how you determined which difference goes with which curve in question 16 (2 sentences maximum).

Questions 16 - 18 use the following information. Suppose that you want to test the
hypothesis that mothers with low socioeconomic status (SES) deliver babies whose
birthweights are lower than "normal" at the 5% significance level. To test this
hypothesis, you want to conduct a study in which you collect data from full-term
live-born deliveries from various maternity wards of hospitals in low SES areas. It is
assumed that the standard deviation of birthweights is 24 oz. A national survey has
shown that "normal" birthweight is 120 oz.
You want to consider being able to detect differences of 5 oz, 10 oz, or 15 oz below
normal birthweight. You decide to construct a power curve for each one of these
differences where you look at power as a function of sample size. These three
power curves are provided below.
Power
1.0
0.8
0.6
0.4
0.2
0.0
0 25
50
75
100
125 150
Sample Size = n
175
200 225 250
Transcribed Image Text:Questions 16 - 18 use the following information. Suppose that you want to test the hypothesis that mothers with low socioeconomic status (SES) deliver babies whose birthweights are lower than "normal" at the 5% significance level. To test this hypothesis, you want to conduct a study in which you collect data from full-term live-born deliveries from various maternity wards of hospitals in low SES areas. It is assumed that the standard deviation of birthweights is 24 oz. A national survey has shown that "normal" birthweight is 120 oz. You want to consider being able to detect differences of 5 oz, 10 oz, or 15 oz below normal birthweight. You decide to construct a power curve for each one of these differences where you look at power as a function of sample size. These three power curves are provided below. Power 1.0 0.8 0.6 0.4 0.2 0.0 0 25 50 75 100 125 150 Sample Size = n 175 200 225 250
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