Answer:
The correct answer is - P = 0.45
Explanation:
The Chi-square test is a test that determines the assorted genes independently. Here p-values used to make conclusions in significance testing.
If the p value is less than the significance level we expect or choose, then this null hypothesis is rejected in favor of the alternative hypothesis. It p value is greater than or equal to the significance level, then we fail to reject the null hypothesis.
So in this case, as the recombination rate is 49% so the p value which satisfies the conclusion will be around 0.45 and values near to it.
Well there alot of challenges faced by biologist researchers during the research of infectious disease, however major of those include the followings:
1- Defining and measuring the fitness for pathogens across the scales
2- Developing models to capture the impact of co-infection on the evolutionary process
3- Modeling how pathogen characteristics shape the evolution of hose immune diversity
4- Understanding the maintenance of pathogen diversity
5- Developing the better models for the impact of genetic systems on pathogen evolution .
B) The grass height was the dependent variable.
E) Intermediate numbers of insects had the greatest positive impact on grass growth.
<h3>How insects affect the plant growth?</h3>
The grass height was the dependent variable because it depends on the nitrogenous waste of insects and presence of water. The numbers of insects had the greatest positive impact on grass growth because they provides nutrients to plant in the form of nitrogenous water so we can conclude that option B and E are the correct options.
Learn more about data here: brainly.com/question/19243813
Interactions among organisms and their environment.
