When comparing an E.coli wild type bacteria to its mutant strain, A t-test was used to...
When comparing an E.coli wild type bacteria to its mutant strain, A t-test was used to compare their antbiotic susceptibility. The "p" value of the T-test was 0.497. In comparison, another mutant was compared to the wild type and the "p" value was 0.385.
1- How would you describe the differences between the wild type and mutant?
2- If there is a "p" value of 1, does that suggest a significant difference between wild type and mutant?
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When comparing an E.coli wild type bacteria to its mutant
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Although t-tests can also be used to compare means, they are limited to comparing two at a time. Using multiple t-tests to compare experimental error, ultimately hindering the results. ANOVA provides a way to simultaneously compare multiple means, without the elevated experimental error. more than two means from the same set of data is possible, but it creates an increased risk of Comparing Multiple Groups For this discussion, begin by creating an example of a research situation that would involve...
A paired t-test comparing between baseline cholesterol level and a follow up cholesterol level after 6 months of treatment with a statin (Cholesterol lowering agent) was performed; the p value result of this comparison was 0.5. Please select the correct answer: Select one: O a. The statin medication lowered the cholesterol level within 6 months of treatment. b. The null hypothesis was not rejected. C. The alternate hypothesis was accepted. d. The result was statistical significant.
Chapter 8: Microbial Genetics and Genetic Engineering Reading Assignment: Chapter 8 1. Describe the structure and function of DNA in the microbial cell. List the chemical components of DNA including the nitrogen bases and the role of histones. 2. Define the following: genome, chromosome, gene, genotype, phenotype, and palindrome. 3. Describe the process of DNA replication in microbes. Explain the term semi-conservative replication 4. Describe the steps in protein synthesis. Compare and contrast transcription and translation. Describe the roles of...
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The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use StatCrunch to conduct an analysis of variance with a = 0.05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments. Treatment A Treatment B Treatment C 5 5 12 3 6 6 5 4 10 4 7 9 3 3 8 F-ratio = p-value = Conclusion: There is a significant difference between treatments These data do not...
Parametric Hypothesis Testing Comparing Two or More Means 2 Interpreting output for a one-sample t test A Aa 3 You are a marketing expert for a company that is producing a new kind of energy bar. You want to provide evidence that consuming that particular bar 1 hour before engaging in strenuous exercise of a long duration such as running a marathon-will improve performance. You decide to conduct a test at a half-marathon race. You know that the participants' average...
An Independent Samples T Test is used to make an inference about whether two groups in the population have different averages on some quantitative measure or dependent variable. This test could be used to compare the average annual earnings of High School graduates, compared to Community College graduates For this potential research question, answer the following questions. Please use only numeric values in your answers to questions 1, 2 and 3 and a word to answer question 4 1) According...
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