A researcher designs an experiment using two drugs, she prepares 15 independent flasks of yeast growth medium and yeast cells. She adds tunicamycin (T) or caffeine (C) to 5 flasks each. Remaining 5 flasks get no drugs (ND). Doubling time of the yeast cells are measured in each flask, data is provided below: Flask T Flask C Flask ND 1 8.2 6 5.2 11 6 2 6.8 7 6.1 12 5.1 3 8 8 6.2 13 5.6 4 7.6 9 5.7 14 5.2 5 7.9 10 6.3 15 6.1 Test if mean doubling time is different than others in at least one growth condition (ND, T or C), using a non-parametric method and report an approximate p-value for the level of significance. What is the hypotheses and the assumptions of this test?
A researcher designs an experiment using two drugs, she prepares 15 independent flasks of yeast growth medium and yeast cells. She adds tunicamycin (T) or caffeine (C) to 5 flasks each. Remaining 5 flasks get no drugs (ND). Doubling time of the yeast cells are measured in each flask, data is provided below: Flask T Flask C Flask ND 1 8.2 6 5.2 11 6 2 6.8 7 6.1 12 5.1 3 8 8 6.2 13 5.6 4 7.6 9 5.7 14 5.2 5 7.9 10 6.3 15 6.1 Test if mean doubling time is different than others in at least one growth condition (ND, T or C), using a non-parametric method and report an approximate p-value for the level of significance. What is the hypotheses and the assumptions of this test?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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A researcher designs an experiment using two drugs, she prepares 15 independent flasks
of yeast growth medium and yeast cells. She adds tunicamycin (T) or caffeine (C) to 5 flasks each. Remaining 5 flasks get no drugs (ND). Doubling time of the yeast cells are measured in each flask, data is provided below:
| Flask | T | Flask | C | Flask | ND |
| 1 | 8.2 | 6 | 5.2 | 11 | 6 |
| 2 | 6.8 | 7 | 6.1 | 12 | 5.1 |
| 3 | 8 | 8 | 6.2 | 13 | 5.6 |
| 4 | 7.6 | 9 | 5.7 | 14 | 5.2 |
| 5 | 7.9 | 10 | 6.3 | 15 | 6.1 |
Test if mean doubling time is different than others in at least one growth condition (ND, T or C), using a non-parametric method and report an approximate p-value for the level of significance. What is the hypotheses and the assumptions of this test?
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