In E.urcise.r I 12. o malrir and liS dwractuistic [HJiytUHIIial [-: -4 art' gil't'n. Find t/r(' t'igenmlllt'S of t'aclr matrix and dt'tennint' a 7. 2 -4] 4 . -(/ - 6){/ + 2)1 basis for eoclr t'lflt'nSIHICI!. " [j 6 -6 6. -3 2 -2 . -(1 + 2)(/ - 4) -] 2 7 - 6 12(I+ 5)(/ + 2)(1- 1)13 2 6 3 -
Ch. 3 ➔ Appropriate measures depend on the shape ◆ Symmetric: mean and standard deviation ◆ Skewed: median and interquartile range ➔ The mean: The average ◆ Literally the balancing point ◆ For a symmetric distribution, the mean is at the center and close to typical values ◆ Also balances skewed graphs ● Doesn’t tell us the typical value ● Right skewed, the average is to the right of the typical values and vice versa ➔ Standard Deviation: number that measures how far away a typical observation is from the me
