Chapter 6.3

Question 1

What is non-standard normal distribution?

Answer 1

when the mean is not 0 or the SD is not 1

pg. 376

Question 2

what is the non-standard normal distribution and standard normal distribution correlation?

Answer 2

any point on the non-snd is EQUAL to the area to the left of the corresponding z-score on the snd

non-snd point it the ‘x’ where snd point is ‘z-score’

pg. 376

Question 3

How to do answer questions for non-standard normal distributions?

Answer 3

-find the corresponding z-scores
-answer the corresponding question for the z-scores on the standard normal distribtion

be able to draw both graphs

pg. 377

Question 4

When do you use normalcdf vs invNorm?

Answer 4

normalcdf: if hight is known and need probability or %
invNorm: if probability or % is known and need height

pg. 386

Question 5

What is the empirical rule?

Answer 5

For Normally Distributed Data:
-68% of all values are within 1 SD of the mean–mean+SD, mean-SD
-95% of all values are within 2 SD of the mean–mean+(2)SD, mean-(2)SD
-99.7% of all values are within 3 SD of the mean–mean+(3)SD, mean-(3)SD

where the range of usual values comes from

pg. 389