POL S 15 Lecture Notes - Lecture 7: Confidence Interval, Null Hypothesis, Statistical Significance
Document Summary
Alpha = . 05 to see if within 95% confidence interval. B = slope in regression line (what we"re interested in) So let"s say b = 0. 8 in spss and standard error (se) = 0. 3 Can use this info to create a confidence interval (knowing slope) Construct a 95% confidence interval to test statistical significance. By taking the slope and adding/subtracting 2(standard error) . Ci = b +/- 2*se [to find 95% confidence, this is the formula] In this case = 0. 8 +/- 2*(0. 3) = 0. 2 and 1. 4. So 0. 2 and 1. 4 are now our bounds (0. 2, 1. 4) This confidence interval of (0. 2, 1. 4) tells us that we can be. 95% that the true/actual population/parameter statistic wil be between 0. 2 and 1. 4. H0 (null hypothesis) means slope = 0 b = 0. Can only reject the null hypothesis when 0 is inside of the confidence interval.
