The "viral burst size" refers to the number of viruses released from each infected cell. The following data are the burst sizes for viruses that have been treated with a mutagen and for control viruses that have not been treated with a mutagen. Your goal is to determine whether the mutagen has an effect on viral burst size. Please choose an appropriate statistical test. MutagenControl15729295825410392110485611 Based on the data, the burst sizes are not normally distributed. Which test should you use to determine whether the viral burst size is different between control viruses and mutagen treated viruses? Wilcoxon rank-sum test or two sample t-test. State your null and alternative hypotheses. Use R to conduct the test. Please copy the R codes here. (hint: you need to first assign the data into to variables using Do you reject the null hypothesis? What can you conclude?

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Description: The "viral burst size" refers to the number of viruses released from each infected cell. The following data are the burst sizes for viruses that have been treated with a mutagen and for control viruses that have not been treated with a mutagen. Your

a) Difference normality is not followed hence Wilcoxon Signed-Rank test is not feasible here.Now…

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Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

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Chapter10: Statistics

Section10.5: Comparing Sets Of Data

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The "viral burst size" refers to the number of viruses released from each infected cell. The following data are the burst sizes for viruses that have been treated with a mutagen and for control viruses that have not been treated with a mutagen. Your goal is to determine whether the mutagen has an effect on viral burst size. Please choose an appropriate statistical test.

Mutagen	Control
15	7
29	29
58	254
103	921
1048	5611

Based on the data, the burst sizes are not normally distributed. Which test should you use to determine whether the viral burst size is different between control viruses and mutagen treated viruses? Wilcoxon rank-sum test or two sample t-test.

State your null and alternative hypotheses.

Use R to conduct the test. Please copy the R codes here. (hint: you need to first assign the data into to variables using

Do you reject the null hypothesis? What can you conclude?

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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