Help the biologist evaluate whether the genetic modification decreased the number of herbivores. The tests of normality for the underlying populations both had P> 0.05. For your test, the biologist asks that you use a = 0.05. Exercise 1. An agricultural biologist is working with two different varieties of corn. One corn variety has been genetically modified to produce an anti-herbivore chemical defense, while the other variety is the same corn genotype except that it has not been modified to include the novel defensive genes. To determine whether the genetic modification is effective in deterring herbivores, the biologist planted the two varieties in randomly placed adjacent plots across a single field and then measured herbivore abundances when the com was mature. The resulting herbivore abundance data are below: Conduct an F test to determine whether the variances between these two datasets differ. Modified Corn 20 | 18 26 23 Based on your result in part a, select an appropriate parametric two sampled test. State the null and alternative hypotheses associated with this test. |17 23 | 22 Non- Modified Corn 89 Perform the appropriate test on the previous page, using 2 decimal places in your calculations. Show all your work. 64 | 102 96 53 77 84 59 What is the critical value (t.) based on a?
Help the biologist evaluate whether the genetic modification decreased the number of herbivores. The tests of normality for the underlying populations both had P> 0.05. For your test, the biologist asks that you use a = 0.05. Exercise 1. An agricultural biologist is working with two different varieties of corn. One corn variety has been genetically modified to produce an anti-herbivore chemical defense, while the other variety is the same corn genotype except that it has not been modified to include the novel defensive genes. To determine whether the genetic modification is effective in deterring herbivores, the biologist planted the two varieties in randomly placed adjacent plots across a single field and then measured herbivore abundances when the com was mature. The resulting herbivore abundance data are below: Conduct an F test to determine whether the variances between these two datasets differ. Modified Corn 20 | 18 26 23 Based on your result in part a, select an appropriate parametric two sampled test. State the null and alternative hypotheses associated with this test. |17 23 | 22 Non- Modified Corn 89 Perform the appropriate test on the previous page, using 2 decimal places in your calculations. Show all your work. 64 | 102 96 53 77 84 59 What is the critical value (t.) based on a?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Transcribed Image Text:Help the biologist evaluate whether the genetic modification decreased the number of herbivores.
The tests of normality for the underlying populations both had P>0.05. For your test, the
biologist asks that you use a = 0.05.
Exercise 1. An agricultural biologist is working with two different varieties of corn. One corn
variety has been genetically modified to produce an anti-herbivore chemical defense, while the
other variety is the same corn genotype except that it has not been modified to include the novel
defensive genes. To determine whether the genetic modification is effective in deterring
herbivores, the biologist planted the two varieties in randomly placed adjacent plots across a
single field and then measured herbivore abundances when the corn was mature. The resulting
herbivore abundance data are below:
Conduct an F test to determine whether the variances between these two datasets differ.
Modified
Corn
20
18
26
Based on your result in part a, select an appropriate parametric two sampled test. State the null
and alternative hypotheses associated with this test.
23
17
23
22
Non-
Modified
Corn
89
Perform the appropriate test on the previous page, using 2 decimal places in your calculations.
Show all your work.
64
102
96
53
77
84
59
What is the critical value (t.) based on a?
Draw a conclusion based on the statistical results and biological relevance.
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