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BEC1 STUDY GUIDE INTRODUCTION (CHAPTER 1 – MUNRO E-BOOK) Know the definition of population, sample, parameter, statistic Be able to identify and/or provide examples of descriptive statistics inferential statistics Know the properties of be able to identify or provide examples of quantitative vs. categorical variables BASIC CONCEPTS (CHAPTER 2 – MUNRO E-BOOK) Know the definition of data, individuals, variables, independent variable, dependent variable, random assignment, treatment group, and control group. Know the properties of the 4 levels of measurement (nominal, ordinal, interval, ratio) Know the properties of discrete and continuous variables Know and understand the properties that distinguish experimental methods from†¦show more content†¦What is a Spearman correlation coefficient? Know the difference between Pearson and Spearman correlation coefficient. Know when to use the Spearman? What assumptions have to be met to use Pearson? What is a scatterplot? Be able to inte rpret one /or construct one Be able to identify positive negative linear relationships from a scatterplot Know the difference between linear non-linear (curvilinear) relationships Know how to compute a Pearson correlation coefficient (r) Know how to interpret a Pearson correlation coefficient (r) Know how restriction of range, non-linearity, outliers affect r Know how to write H0 and HA for testing the significance of a correlation Be able to write out an interpretation of a hypothesis test for an r SIMPLE LINEAR REGRESSION (CHAPTER 14 – MUNRO E-BOOK) What is simple linear regression? Know what is meant by â€Å"least-squares regression line† What do the points along a least-squares regression line represent? What is an error (residual) in regression? Know the equation for the least-squares regression line Know conceptually what the slope coefficient (b) represents Know conceptually what the intercept (a) represents Know how to find a predicted value for a particula r value of X Know what r2 is