Statistical Methods A. Binomial distribution (BINOM.DIST) B. Normal distribution (NORM.DIST) C. t distribution (T.DIST or T.INV) D. Chi-square test of independence E. Correlation F. Simple linear regression G. Multiple regression H. Nonlinear regression For each of the items below, select the letter for the most appropriate answer from the options provided. NOTE: Each option may be used once, more than once, or not at all. When testing whether a sample mean differed statistically from a specified population mean, this was required to calculate the confidence interval in Excel 2 For example, y(hat) = 5.16 In() - 1.75 3 This method yields an equation to predict the values of a single numeric dependent variable based on a single numeric independent variable A Used to determine the likelihood of obtaining at least 7 heads out of 10 flips of a fair coin 5 This method quantifies the magnitude and direction of the relationship between two numeric variables using a coefficient that ranges from -1.00 to 1.00 Theoretical, symmetrical, unimodal, asymptotic about the x-axis, and the basis for inferential statistics This method determines the extent to which two or more numeric independent variables explain the variation in a single numeric dependent variable and includes an assumption that the relationship between independent and dependent variables is linear This method classifies observations by two categorical variables then determines if the observed values differ enough from the expected values to conclude a dependent relationship between the two variables exists 9 The probability of x successes in n trials given the probability of success is a single trial is p 10 For example, y(hat) = 1.53x + 33.5