# BIO 500 GRAND CANYON ENTIRE COURSE LATEST

BIO 500 GRAND CANYON ENTIRE COURSE LATEST

BIO 500

BIO 500 GC Week 1 Discussion 1 Latest

Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find the most useful in these tutorials?

BIO 500 GC Week 1 Discussion 2 Latest

This course is designed to provide you with the knowledge and skills in application, evaluation, analysis, and interpretation of bio statistical data used to inform public health programs, policy, and practice. View the online video, “Careers in Biostatistics.” The video describes the education that a professional biostatistician receives at the University of North Carolina. More than likely you will be working with professional biostatisticians. Why is it important for you to take this course in biostatistics?

BIO 500 GC Week 2 Discussion 1 Latest

Compare a minimum of three statistical packages that are available to statisticians and/or students of statistics.

BIO 500 GC Week 2 Discussion 2 Latest

Assume you are working for a local public health organization at the state level. Your team wants to develop a program to prepare for a possible pandemic that is spreading worldwide. View, “Laurie Garrett on Lessons From the 1918 Flu.” How could knowledge of the course objectives help you make recommendations to your organization?

BIO 500 GC Week 3 Discussion 1 Latest

It is time to relate the rules and concepts of probability to the practice of statistics and experimentation. Sampling distributions provide the link between probabilities and data. Recall that the sum of the probabilities of all possible outcomes for a certain event must equal one. Because the variables representing or describing a certain event can take on a range of values, the frequency of each of those values forms a distribution of possible outcomes, each with its own probability of occurrence. View “Central Limit Theorem” (media piece). What is the significance of the frequency histogram illustrated by dice and numbers in “Dice Combination?” How does this relate to the central limit theorem provided in the media? Roll the dice, what were your odds? HINT: Click on Dice Combination in the media. If you roll the dice, you have to count the total number of two dice. There are two ways to check on your results (Refer to the instructions by clicking Instructions); click on the dice combinations and odds given in the frequency histogram and the table or click the red bar at the right side of the media piece. Explore the basic principle of probability through this media piece. Utilize the quiz to ensure that you understand these basic principles. What is the significance of probability in judgment and decision making in important aspects of health care? Explain your response with an applicable example.

BIO 500 GC Week 3 Discussion 2 Latest

For the public health industry, describe some examples of a random variable.

BIO 500 GC Week 4 Discussion 1 Latest

Explain the important points of the central limit theorem

BIO 500 GC Week 4 Discussion 2 Latest

View “Seth Berkley: HIV and Flu–The Vaccine Strategy.”

What are some of the tools in this course that epidemiologists use to perform their work?

BIO 500 GC Week 5 Discussion 1 Latest

As a health care professional in public health, describe some examples of where hypothesis testing would be used

BIO 500 GC Week 5 Discussion 2 Latest

This course is designed to provide you the knowledge and skills in application, evaluation, analysis, and interpretation of biostatistical data used to inform public health programs, policy, and practice. Elizabeth Pisani is an epidemiologist in public health and has a message about the role that politics has on the use of the data. View “Elizabeth Pisani: Sex, Drugs and HIV – Let’s Get Rational.” Do you agree or disagree with Pisani’s message about the role of politics in public health?

BIO 500 GC Week 6 Discussion 1 Latest

As a health care professional in public health, compare when you would use hypothesis testing and when you would use regression.

BIO 500 GC Week 6 Discussion 2 Latest

If a regression line (linear regression line) is said to “fit” the data presented in a scatter plot, what relation is minimized between the observed data, y, and the predicted output for the regression line?

BIO 500 GC Week 7 Discussion 1 Latest

As a health care professional in public health, describe some examples that demonstrate the importance of interaction of variables in a two-way analysis of variance.

BIO 500 GC Week 7 Discussion 2 Latest

Explain why computing a variance of several numbers is like analyzing their differences.

BIO 500 GC Week 8 Discussion 1 Latest

Discuss the differences between parametric and nonparametric tests.

BIO 500 GC Week 8 Discussion 2 Latest

Discuss the advantages of nonparametric tests.

BIO 500 GC Week 4 Confidence Interval Latest

Details:

In the Topic 1 Assignment, you compared the BMI values from Data Set 1 (in the appendix of the textbook) from a perspective of measuring the center and variation of the data. Chapters 5 and 6 in the textbook allow you to use more sophisticated tools to estimate the parameters of a population.

Refer to Data Set 1 in Appendix B and use the sample data with Excel and/or SPSS to accomplish the following:

Construct a 99% confidence interval estimate of the mean body mass index for men.

Construct a 99% confidence interval estimate of the mean body mass index for women.

Compare and interpret the results. It is known that men have a mean weight that is greater than the mean weight for women, and the mean height of men is greater than the mean height of women. Do men also have a mean body mass index that is greater than the mean body mass index of women?

APA format is not required, but solid academic writing is expected.

This assignment uses a grading rubric. Instructors will be using the rubric to grade the assignment; therefore, students should review the rubric prior to beginning the assignment to become familiar with the assignment criteria and expectations for successful completion of the assignment.

You are not required to submit this assignment to Turnitin.

BIO 500 GC Week 5 Hypothesis Testing Latest

Details:

Chapter 8 of the textbook explains how to make inferences from two samples using the process of hypothesis testing.

Refer to Data Set 1 in Appendix B and test the claim that the mean body mass index (BMI) of men is equal to the mean BMI of women.

Use Excel and/or SPSS to perform the hypothesis test.

Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal.

Use “Example Hypothesis Test of Treatment for Bipolar Depression” on page 391 of the textbook as a guide for your test.

APA format is not required, but solid academic writing is expected.

You are not required to submit this assignment to Turnitin.

BIO 500 GC Week 6 Effects of Heredity and Environment on IQ Latest

Details:

Use Excel or SPSS to complete Exercise 1 in the Cumulative Review Exercises on page 485 in the textbook.

APA format is not required, but solid academic writing is expected.

You are not required to submit this assignment to Turnitin.

BIO 500 GC Week 7 Variance Analysis Latest

Details:

Chapter 11 of the textbook covers “Analysis of Variance”, however the authors state that “Testing for Equality of Three or More Population Means” might be a better chapter title.

Use Excel or SPSS to perform the one-way analysis of variance (ANOVA) for the data in “From Data to Decision” on page 565 of the textbook.

APA format is not required, but solid academic writing is expected.

You are not required to submit this assignment to Turnitin.

BIO 500 GC Week 8 BMI Statistical Report Latest

Details:

Write a 750-1000 word statistical laboratory report using the guidelines in the assigned article, “How to Write a Statistical Report.” This statistical report is not meant to be an APA report or a multiple-page scholarly treatise. The goal is that you become familiar with the formal report format that you will use whenever you are reporting statistical analysis. The report format includes the following sections: Abstract, Purpose, Methods, and Results.

Assume that you are asked to perform an exploratory data analysis in which the emphasis is to compare the difference between the body mass index (BMI) values of men and women. Use Excel and/or SPSS to create reports and run analyses on the data for the Data Set 1 in Appendix B of your textbook.

Assume you are a biostatistics analyst and you received a request from the director of the nutrition program to perform the analysis. The director is developing an obesity program for the state and has obtained the data set from the National Center for Health Statistics (NCHS). Because it has been some time since the director has had a statistics course, any points that would make your analysis easier to understand would be appreciated.

Generate appropriate histograms or box plots. Find appropriate statistics that will help to understand the data set. Are there any notable features? Are there any outliers? Describe the key elements of center, variation, distribution, and outliers.

A minimum of three scholarly references are required.

While APA format is not required for the body of this assignment, solid academic writing is expected, and in-text citations and references should be presented using APA documentation guidelines, which can be found in the APA Style Guide, located in the Student Success Center.

This assignment uses a grading rubric. Instructors will be using the rubric to grade the assignment; therefore, students should review the rubric prior to beginning the assignment to become familiar with the assignment criteria and expectations for successful completion of the assignment.

You are required to submit this assignment to Turnitin. Refer to the directions in the Student Success Center.

BIO 500 GC Week 8 Rank Correlation Latest

Details:

Question 1. Use Excel or SPSS to complete Exercise 1 in the Cumulative Review Exercises on page 485 in the textbook.

APA format is not required, but solid academic writing is expected. Due Tuesday NOV 29th

Question 2. Chapter 11 of the textbook covers “Analysis of Variance”, however the authors state that “Testing for Equality of Three or More Population Means” might be a better chapter title. Due December 6th

Question 3 Use Excel or SPSS to perform the one-way analysis of variance (ANOVA) for the data in “From Data to Decision” on page 565 of the textbook.

APA format is not required, but solid academic writing is expected.

Question 4 For the following assignment, use the Rank Correlation that was demonstrated in Chapter 12 of the textbook (page 566). Utilizing Excel or SPSS:

Use a rank correlation coefficient to test for a correlation between two variables.

Use a significance level of α=0.05.

The new health care program in the United States makes provisions for capitation programs where health care insurers work with clinical facilities to perform risk analysis of patients to determine the cost of providing care. The following assignment might be used to assess how much a person smokes.

When nicotine is absorbed by the body, cotinine is produced. A measurement of cotinine in the body is therefore a good indicator of how much a person smokes. The reported number of cigarettes smoked per day and the measured amounts of cotinine (in ng/ml) are provided. (The values are from randomly selected subjects in a National Health Examination Survey.) Is there a significant linear correlation? How would you measure the cotinine level in the body? Explain the result.

Refer to the “Rank Correlation Table.”

APA format is not required, but solid academic writing is expected.

You are not required to submit this assignment to Turnitin

Due Dec 9th

Rank Correlation Table

x (cigarettes per day) 60 10 4 15 10 1 20 8 7 10 10 20

y(cotinine) 179 283 75.6 174 209 9.51 350 1.85 43.4 25.1 408 344