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5. A genetics engineer was attempting to cross a tiger and a cheetah. She predicted a phenotypic outcome of the traits she was observing to be in the following ratio 4:3.9 for the following categories; stripes only, spots only, both stripes and spots. When the cross was performed and she counted the individuals and she found 67 with stripes only, 43 with spots only and 90 with both. Using 2.5% significance level, what is the conclusion of the above experiment? A. The hypothesis forwarded by the engineer is to be rejected. B. The hypothesis forwarded by the engineer is to be accepted. C. There is no conclusive answer from the above experiment. D. The experiment violated the animal rights and should not be run in the first place.

5. A genetics engineer was attempting to cross a tiger and a cheetah. She predicted a phenotypic outcome of the traits she was observing to be in the following ratio 4:3.9 for the following categories; stripes only, spots only, both stripes and spots. When the cross was performed and she counted the individuals and she found 67 with stripes only, 43 with spots only and 90 with both. Using 2.5% significance level, what is the conclusion of the above experiment? A. The hypothesis forwarded by the engineer is to be rejected. B. The hypothesis forwarded by the engineer is to be accepted. C. There is no conclusive answer from the above experiment. D. The experiment violated the animal rights and should not be run in the first place.

MATLAB: An Introduction with Applications
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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5. A genetics engineer was attempting to cross a tiger and a cheetah. She predicted a phenotypic outcome of the traits she was observing to be in the following ratio 4:3:9 for the following categories; stripes only, spots only, both stripes and spots. When the cross was performed and she counted the individuals and she found 67 with stripes only, 43 with spots only and 90 with both. Using 2.5% significance level, what is the conclusion of the above experiment? A. The hypothesis forwarded by the engineer is to be rejected. B. The hypothesis forwarded by the engineer is to be accepted. C. There is no conclusive answer from the above experiment. D. The experiment violated the animal rights and should not be run in the first place. 6. If there is a close agreement between the observed frequency and the expected frequency, the chi-square test value in a chi-square goodness-of-fit test will be A. Small B. Large c. Undefined D. Fall in rejection region 7. If a researcher wanted to use the t-test to compare 15 different means, then how many possible different comparisons that he would have to perform? A. 210 В. 30 С. 105 D. 15 8. In simple regression analysis the quantity that gives the amount by which Y (dependent variable) changes for a unit change in X (independent variable) is called the A. Coefficient of determination B. Slope of the regression line C. Correlation coefficient D. y- intercept of the regression line
Transcribed Image Text:5. A genetics engineer was attempting to cross a tiger and a cheetah. She predicted a phenotypic outcome of the traits she was observing to be in the following ratio 4:3:9 for the following categories; stripes only, spots only, both stripes and spots. When the cross was performed and she counted the individuals and she found 67 with stripes only, 43 with spots only and 90 with both. Using 2.5% significance level, what is the conclusion of the above experiment? A. The hypothesis forwarded by the engineer is to be rejected. B. The hypothesis forwarded by the engineer is to be accepted. C. There is no conclusive answer from the above experiment. D. The experiment violated the animal rights and should not be run in the first place. 6. If there is a close agreement between the observed frequency and the expected frequency, the chi-square test value in a chi-square goodness-of-fit test will be A. Small B. Large c. Undefined D. Fall in rejection region 7. If a researcher wanted to use the t-test to compare 15 different means, then how many possible different comparisons that he would have to perform? A. 210 В. 30 С. 105 D. 15 8. In simple regression analysis the quantity that gives the amount by which Y (dependent variable) changes for a unit change in X (independent variable) is called the A. Coefficient of determination B. Slope of the regression line C. Correlation coefficient D. y- intercept of the regression line
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