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MTH 231 Complete Course All DQs and Assignments(Statistics for the Life Sciences) Click link below to Purchase Entire Class:

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MTH 231 Week 1 Individual Assignment / Populations and Sampling Paper MTH 231 Week 1 DQ1 MTH 231 Week 1 DQ2 MTH 231 Week 2 Individual Assignment Data—Organizing, Summarizing, Probability, and Distribution Worksheet MTH 231 Week 2 DQ1 MTH 231 Week 2 DQ2 MTH 231 Week 3 Learning Team Assignment Life Sciences Article Analysis MTH 231 Week 3 DQ1 MTH 231 Week 3 DQ2 MTH 231 Week 4 Individual Assignment Distribution, Hypothesis Testing, and Error Worksheet MTH 231 Week 4 Learning Team Assignment Confidence Intervals in the Life Sciences Presentation MTH 231 Week 4 DQ1 MTH 231 Week 4 DQ2 MTH 231 Week 5 Learning Team Assignment Hypothesis Testing and Correlation Worksheet

MTH 231 Week 1 Individual Assignment / Populations and Sampling Paper Resources: Ch. 1 of the text, the Internet, and the University Library Consider how life sciences researchers collect information from samples to learn about populations. Write a 700- to 1,050-word paper about sampling from populations. Include the following information: Define population and describe the characteristics of a population. Define sample and describe the characteristics of a sample. Compare samples and populations and explain how the concepts are related. Provide examples to illustrate your arguments. Explain how to increase the chance that a sample is representative of a chosen population. Provide an example. Describe random sampling and its benefits for research. Cite at least two references. Format your paper consistent with APA guidelines.


MTH 231 Week 1 DQ1 There are two broad areas of statistics: inferential and descriptive. In inferential statistics, we use analytical methods to derive meaning from our data. In descriptive statistics, we study effective ways to describe the data. Charts and graphs are very important in descriptive statistics. Compare the graphs in Figures 2-6, 2-7, and 2-10 in the text. What does each graph communicate? How effective is each graph in communicating this information? How would you choose the kind of graph to use for a specific project? Give an example.

MTH 231 Week 1 DQ2 Descriptive Statistics with Statdisk Technology

The Bureau of Labor and Statistics tracks many facets of the US economy. You will find a list of various commodities listed at http://data.bls.gov/cgi-bin/surveymost?ap (Bureau of Labor and Statistics, n.d.).

MTH 231 Week 2 Individual Assignment Data—Organizing, Summarizing, Probability, and Distribution Worksheet Resources: Ch. 2–4 and Appendix B of the text and Statdisk Complete the University of Phoenix Material: Data—Organizing, Summarizing, Probability, and Distribution Worksheet located in Week Two of the student website (Materials web page).

MTH 231 Week 2 DQ1 Suppose a birdwatcher averages spotting 0.3 rare finches every day during the two hours allotted for watching. This means that the birdwatcher spots, on average, three rare finches every 10 days. The average is based on considerable experience. Over a given 10-day period, the birdwatcher sees zero rare finches in five days, and on the sixth day, the birdwatcher declares, “I’m due to see a rare finch today.” Assume that the environmental conditions are reasonably constant with no seasonal migratory issues..

MTH 231 Week 2 DQ2 Read the article What are Relative Risk, Number Needed to Treat and Odds Ratio? from the Electronic Reserve Readings on the Materials web page for Week 2. Summarize the measures of relative risk, number needed to treat, and odds ratios. In your opinion, which of these measures is most informative? Why are they frequently used together? Explain.

MTH 231 Week 3 Learning Team Assignment Life Sciences Article Analysis Resources: Ch. 3 and 4 of the text, the Week Two Electronic


Reserve Readings “Fetal Deaths and Proximity to Hazardous Waste Sites in Washington State” and “Intensive Lipid Lowering With Atorvastatin in Patients With Coronary Artery Disease, Diabetes, and Chronic Kidney Disease,” the Internet, and the University Library Discuss the methodology of life sciences researchers in the two articles. Explore the data collection and analysis techniques used by the authors of these articles in preparation for the Life Sciences Article Analysis. Write a 1,050- to 1,750-word paper about dependence and probability. Discuss the following questions: What population is researched in each article? What data are collected by the authors in each article? What are the independent events or variables? What are the dependent events or variables? Evaluate whether the authors make appropriate claims related to the independence or dependence of the events or variables they investigate. Explain relative risk, odds ratios, and fetal death rates. Describe the use of these tools in the article “Fetal Deaths and Proximity to Hazardous Waste Sites in Washington State.” Explain absolute risk reduction and number needed to treat. Describe the use of these tools in the article “Intensive Lipid Lowering With Atorvastatin in Patients With Coronary Artery Disease, Diabetes, and Chronic Kidney Disease.” Summarize how communication of scientific findings is facilitated with the concept of dependence and with tools for expressing probability. Cite at least four references. Format your paper consistent with APA guidelines.

MTH 231 Week 3 DQ1 What are the characteristics of a normal probability distribution function (pdf). What is the standard normal pdf? How is it related to the normal pdf and why is it useful? Explain the Empirical Rule? Is it used for rough estimates or precise calculations? Briefly tell how to use Table A-2 in the Appendix of our text to calculate z-values (Triola, 2006). How is area under the standard normal curve related to probability? Is the table arranged so that probability is cumulative from the left or from the right?

MTH 231 Week 3 DQ2 Precisely, in simple language, what is a confidence interval? What is the difference between a statistic that is a point estimator and one that is an interval estimator? When might you prefer an interval estimator over a point estimator? What is a confidence level with respect to a confidence interval? What is a critical value and why is it important?


What happens to the margin of error for a confidence interval when the sample size is increased? How is the margin of error related to the width of the confidence interval? State this relationship in mathematical terms. What happens to the width of the confidence interval if the confidence level is increased from 95% to 99%? That is, does the width increase or decrease? Why? What happens to the width of the confidence interval if n, the size of the sample, is increased? Why? For additional participation credit, also comment within the thread of the message posted in the Main Forum: Example: Using Statdisk to Find a Confidence Interval

MTH 231 Week 4 Individual Assignment Distribution, Hypothesis Testing, and Error Worksheet Resources: Ch. 5–7 of the text and Statdisk Complete the University of Phoenix Material: Distribution, Hypothesis Testing, and Error Worksheet, located in Week Four of the student website.

MTH 231 Week 4 Learning Team Assignment Confidence Intervals in the Life Sciences Presentation Resources: Ch. 5 and 6 of the text, the University Library, the Internet, and Statdisk Identify a normally distributed variable related to your chosen life science that serves as your example variable. Review the data sets presented in Appendix B of the text and in Statdisk, selecting one that corresponds with your chosen life science. Choose a particular variable you would like to explore and use Statdisk to determine if its distribution is approximately normal. Note. Data Set 5: Passive and Active Smoke in the text does not include normally distributed data and may not be used in this project. Prepare a 12- to 15-slide MicrosoftÂŽ PowerPointÂŽ presentation that explains confidence intervals in your chosen life science. Imagine that you are responsible for educating first-year college students who are majoring in your chosen life science. Explain to the students how and why confidence intervals relate to their field. Discuss the following questions: What is a normal distribution? Describe your example variable and explain why normally distributed data is important in your chosen life science. Show the distribution of your example variable in a Statdisk-generated image and demonstrate how to calculate the probability of a range of values within this normal distribution. What is a standard normal distribution? How does it differ from other normal distributions? Convert the normally distributed example variable within your chosen life science to a standard normal distribution. Show this example in a Statdisk-generated image and demonstrate how to calculate the probability of a range of values within this standard normal distribution.


What is a confidence interval? Outline how confidence intervals may be used in your chosen life science. Demonstrate how to define confidence intervals within the normal distribution example variable. What is a confidence level? Show how a confidence level relates to the confidence interval using the example variable. What is a critical value? Show how critical values relate to the confidence interval using the example variable. What is a margin of error? Describe how a margin of error relates to confidence intervals and to your chosen life science. Provide an example related to your example variable. What is a point estimate? Explain how a point estimate found from a confidence interval would be applied in your chosen life science. Provide an example related to your example variable. What can a confidence interval tell researchers in your chosen life science about an estimate of population mean? Provide an example related to your example variable. What can a confidence interval tell researchers in your chosen life science about an estimate of population variance? Provide an example related to your example variable. Include a title slide and conclusion slide, and cite at least four references on a references slide. Present the information about confidence intervals and your chosen life science to the instructor and the class just as you would to firstyear college students who need this information. For Local Campus students, these are oral presentations accompanied by Microsoft® PowerPoint® presentations. For Online and Directed Study students, these are Microsoft® PowerPoint® presentations with notes. Discuss with your classmates and answer questions.

MTH 231 Week 4 DQ1 State the criteria for choosing a t-test and a z-test. Then give an example of a problem in which you would use z-test to evaluate the data. Next, take the same example and modify it so that a ttest would be preferable. Explain why.

MTH 231 Week 4 DQ2 From our text (Triola, et al., pp. 518-520, 2006): What is a null hypothesis? ·

What is an alternative hypothesis?

MTH 231 Week 5 Learning Team Assignment Hypothesis Testing and Correlation Worksheet Resources: Ch. 7 and 8 and sections 9-1 and 9-2 in Ch. 9 of the text Complete the University of Phoenix Material: Hypothesis Testing and Correlation Worksheet, located in Week Five of the student website.


Mth 231 complete course