Jul 16, 2017

# Correlation and Causation

This paper concentrates on the primary theme of Correlation and Causation in which you have to explain and evaluate its intricate aspects in detail. In addition to this, this paper has been reviewed and purchased by most of the students hence; it has been rated 4.8 points on the scale of 5 points. Besides, the price of this paper starts from £ 40. For more details and full access to the paper, please refer to the site.

# Correlation and Causation

INSTRUCTIONS:

Before writing your comments each week, review the BSHS Discussion Grading Rubric linked under Assessments. It will show you what is expected for an excellent discussion, in order to earn full credit.

Weekly participation in the discussion is required. Every week, your comments will be graded on how well they meet each of the criteria on the grading rubric.

Module 5 focuses on conducting parametric and nonparametric inferential statistical tests: t-tests, chi-square analyses. Using the website link below, please take some time to answer the following questions:

http://www.ats.ucla.edu/stat/mult_pkg/whatstat/

Identify the types of variables you would need to conduct a Chi-square (last name begins with A-H), one-sample t-test (last name begins with I-P) and paired t-test (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. Furthermore, provide a health related example (or using a peer-reviewed article that used a chi-square test) to explain your answer.

CONTENT:

Using Chi-Square to Test Data The chi-square test is a statistical tool that uses the chi-square distribution to test a hypothesis. It is important to note, however, that there are actually three kinds of chi-square tests, the use of which depends on the hypothesis being tested and the gathered data. If a researcher wants to know whether a set of data available was gathered from a normal population, then he can use the chi-square goodness of fit method. It is used to analyze one nominal variable categorized into two or more values variable, such as in the case of Shital Parikh and Lindsay WilsonADDIN CSL_CITATION { "citationItems" : [ { "id" : "ITEM-1", "itemData" : { "DOI" : "10.1542/peds.2010-0333", "ISBN" : "1098-4275 (Electronic)\r0031-4005 (Linking)", "ISSN" : "0031-4005", "PMID" : "20603257", "abstract" : "PURPOSE: Car seats should be used to prevent injury or death in children during motor vehicle crashes. When used improperly or for unintended purposes, car seats can place children at risk for injury or death. The objective of this article is to describe patterns of hazardous use of car seats outside the car for infants (<1-year-olds) in the United States from 2003 to 2007. METHODS: The National Electronic Injury Surveillance System of the US Consumer Product Safety Commission database was accessed to obtain information regarding car seat-related injuries treated in emergency departments fr

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