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 Introduction to Biostatistics -statistics are simply a collection of tools that researchers employ to help answer research questions --------------------------------------------------------------------------------------------- INFERENTIAL STATISTICS: COMMON TESTS t-tests Independent T-Test t-test looks at the mean and variance of a sample of measurements, where the null hypothesis is that the sample is drawn from a distribution with mean m. The test explains  the difference between the observed and expected means, scaled by the variance of the data, and tells us how likely one is to get a sample of that mean and variance, assuming that the sample is drawn from a normal distribution with mean mu.. Computational formula for independent t-test: Conceptual model of independent t-test:

 Introduction Definitions Sampling Scales of Measurement Variables Presenting Data Descriptive Statistics Measures of central tendancy Measures of dispersion/variability Normal Distribution and Probability Inferential statistics: Chisquire Test Inferential statistics: t-tests Inferential statistics: correlation tests Inferential statistics:ANOVA and other tests Inferential statistics: Multivariate analysis Quiz and Questions