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Using Inferential Statistics

The purpose of statistics is to produce study results from a sample and to allow the researcher to infer them to the population where the sample was taken. Inferential statistics are the techniques that allow for this type of generalization to occur. The methods of inferential statistics include estimating population parameters from sample statistics and testing statistical hypotheses. Common testing methods are t-test, analysis of variance (ANOVA), analysis of covariance (ANCOVA), simple and multiple linear regressions, chi-square test, and simple and multiple logistic regressions. The variable type or level of measurement for the dependent variables and independent variables influence the selection of the testing methods. For this Discussion, review the inferential statistics you are using for your Scholar Practitioner Project. ASSIGNMENT Post a description of the statistics you will include in your inferential analysis (TOPIC IS EFFECT OF OBESITY ON BREAST CANCER). Explain the rationale behind using these specific statistics, including what statistics you chose not to use and explaining why. Support your response with the Learning Resources and current literature READINGS Kamin, L. F. (2010). Using a five-step procedure for inferential statistical analyses. The American Biology Teacher, 72(3), 186–188. . Maiti, T. (2005). Tutorials in biostatistics, vol. 1: Statistical methods in clinical studies / tutorials in biostatistics, vol. 2: Statistical modelling of complex medical data. Journal of the American Statistical Association, 100(472), 1468–1468. . Marshall, G., & Jonker, L. (2010b). A concise guide to inferential statistics. Synergy, 20–24. . Preisser, J. S., & Koch, G. G. (1997). Categorical data analysis in public health. Annual Review of Public Health, 18, 51–82. . Silva-Ayçaguer, L. C., Suárez-Gil, P., & Fernández-Somoano, A. (2010). The null hypothesis significance test in health sciences research (1995–2006): Statistical analysis and interpretation. BMC Medical Research Methodology, 10(1), 44. . Lee, E. T., & Go, O. T. (1997). Survival analysis in public health research. Annual Review of Public Health, 18, 105–134.
The purpose of statistics is to produce study results from a sample and to allow the researcher to infer them to the population where the sample was taken. Inferential statistics are the techniques that allow for this type of generalization to occur. The methods of inferential statistics include estimating population parameters from sample statistics and testing statistical hypotheses.
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