| front |1 |2 |3 |4 |5 |6 |7 |8 |9 |10 |11 |12 |13 |14 |15 |16 |17 |18 |19 |20 |21 |22 |23 |24 |25 |26 |27 |28 |29 |30 |31 |32 |33 |34 |35 |36 |37 |38 |39 |40 |41 |42 |43 |44 |45 |46 |47 |48 |49 |50 |51 |52 |53 |54 |55 |review |
|
1.Now
we will extend the properties of the normal distribution to the case
where the desired probability is not an exact
standard deviation from the mean (e.g. 1, 2, or 3).
2.This
is done by calculating a well-known quantity called the z-score.
|