University of Houston 3 credits ELET
Prerequisite: None. Collecting Data and Experimental Design Data Summary and Descriptive Statistics - Why do we collect data and need statistics? - Graphical Representation of data: scatterplots, time series. Box-and-whisker plots, histograms - Measures of central tendency and variability Assuming a probability model from the sample data - Standard normal distribution - Sample mean and confidence interval - t Distribution Statistical inference - Comparison of population means - t Test: hypothesis testing and application, paired and unpaired test - Comparison of two variances - Comparison of three or more population means: one factor and two factor experiments, Tukey’s multiple comparison procedure Linear Regression and Correlation Analysis Power Analysis and Sample Size
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