Lesson 3

Question 1

What is the key limitation of normal distributions?

Answer 1

It only focuses on data at the mean and up to 3 SD above or below it using integer values.

Question 2

What are 3 characteristics of a normal distribution?

Answer 2

1) mean= mode= median (symmetric)
2) Unimodal
3) asymptotic

Question 3

Why is it good to have a large sample size?

Answer 3

smaller SD and therefore the data is more reliable.

Question 4

What would a -3.00 skewed value indicate?

Answer 4

More extreme values above to the right. Severely skewed and data is reliable.

Question 5

What are the multiple for each SD?

Answer 5

1) 1
2) 1.96
3) 2.58

Question 6

Why are z scores useful?

Answer 6

Allow us to compare data points that are not similar or were not calculated the same way.

Question 7

How do you know whether to use a small area or larger area for the calculated z score?

Answer 7

If the blocked area is more than 50% of the distribution - use the large area and vice-versa.