Week 2
1. Identify three uses for a frequency distribution. Please provide realistic health related examples.
2. Briefly identify the differences between a normal, positive and negative skew. How does this skew or distribution curve relate to standard error? What does the standard error mean for the results? Feel free to use and example to explain your answer.
Week 3
Your comments will be graded on how well they meet the Discussion Requirements posted under “Before You Begin.”
This module focuses on inferential statistics. As a reminder, inferential statistics are used to determine the probability that a conclusion based on analysis of data from a sample is true (Norman & Streiner, 2008). The purpose of this discussion is to show the various types of hypotheses, how to identify them in an article and the importance of “significance” and a p-value.
For this discussion, use a peer-reviewed article (focused on a health study) of your choice to:
• Identify the Ho and H1
• Identify and explain what “significance” is in a general sense and in your chosen article. Be sure to discuss the p-value.
Week 4
Please respond to the following question utilizing the required and recommended module readings:
• Identify the types of variables you would need to conduct:
o a Chi-square (for students whose last name begins with A-H)
o one-sample t-test (for students whose last name begins with I-P)
o paired t-test (for students whose last name begins with Q-Z)
• Be sure to explain the number of dependent and independent variables, and the types of dependent variables necessary for the statistical analysis.
• Provide a health-related example (or use a peer-reviewed article that used the statistical analysis) to explain your answer.
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Week two
1. Describe three applications for a frequency distribution. Please share instances of realistic health-related situations.
2. Briefly distinguish between a normal, positive, and negative skew. What is the relationship between this skew or distribution curve and standard error? What does the standard error imply for the outcomes? Please feel free to offer an example to clarify your response.
Week three
Your comments will be graded on how well they meet the Discussion Requirements posted under “Before You Begin.”
This module focuses on inferential statistics. As a reminder, inferential statistics are used to determine the probability that a conclusion based on analysis of data from a sample is true (Norman & Streiner, 2008). The purpose of this discussion is to show the various types of hypotheses, how
