Analyze the data by choosing the appropriate test statistic and follow the steps of hypothesis testing. Use alpha = 0.05. 1. A fertilization trial was conducted to evaluate the effects of chicken manure and urea on the growth of tilapia in ponds. Treatments were randomly allocated to 16 ponds assumed to be uniform in every aspect. Final mean weights (g) of fish are recorded after 150 days as follows: If you are to recommend to the fish farmers the combination of chicken manure and urea for the optimum tilapia growth, what would it be? Explain concisely your recommendation based on the result of your statistical analysis.
Analyze the data by choosing the appropriate test statistic and follow the steps of hypothesis testing. Use alpha = 0.05. 1. A fertilization trial was conducted to evaluate the effects of chicken manure and urea on the growth of tilapia in ponds. Treatments were randomly allocated to 16 ponds assumed to be uniform in every aspect. Final mean weights (g) of fish are recorded after 150 days as follows: If you are to recommend to the fish farmers the combination of chicken manure and urea for the optimum tilapia growth, what would it be? Explain concisely your recommendation based on the result of your statistical analysis.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Analyze the data by choosing the appropriate test statistic and follow the steps of hypothesis
testing. Use alpha = 0.05.
1. A fertilization trial was conducted to evaluate the effects of chicken manure and urea on the growth
of tilapia in ponds. Treatments were randomly allocated to 16 ponds assumed to be uniform in every
aspect. Final mean weights (g) of fish are recorded after 150 days as follows:
If you are to recommend to the fish farmers the combination of chicken manure and urea for the
optimum tilapia growth, what would it be? Explain concisely your recommendation based on the
result of your statistical analysis.
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