GGR270H1 Lecture Notes - Central Limit Theorem, Statistical Parameter, Confidence Interval
Document Summary
Assignment: you don"t have to repeat covariance but you have to say where you got it from; such as i got it from part a. Y is a function of x; changes in y are changes in x. Precipitation on y axis, temperature on the x axis. Show the mean of x and draw a dotted line across and same for y. Confidence intervals: most often you don"t know how precise the single sample mean as an estimator ex. Placing confidence interval around our mean [sample mean] Say with 90% confidence the interval range contains the population mean. Z= z value from the table sxbar= standard error of the mean. 90% chance inside the interval, 10% outside it. 100% confidence is the population and 99% is the most because it can never be absolute. Each side of the curve is 50% of the diagram. So 5% confidence on each side on the outside and 45% inside the interval.
