Download Exam 3

Stat 300
Exam 3 Study Guide (Chapter 5)
100 points – problem weights in [ ]
Questions #1 [2]
Questions 2 – 6 [10]
Question 7 [3]
Question 8 [5]
Question 9 [3]
Question 10 [3]
Question 11 [8]
(teacher problem)
Question 12 [8]
(mechanics problem)

Be able to name all discrete and
continuous probability distributions
studied thus far.
 Know the mean and standard deviation of
a standard normal random variable
 Be able to describe the sampling
distribution of the mean
 Know under what conditions the Central
Limit Theorem applies.
 Know when you can use the normal
distribution to approximate a binomial
distribution.
 Determine normality using a normal
probability plot
 Find a probability from a Uniform
distribution
 The probabilities from a standard normal
distribution
 Find a z-score given a percentile
Normal distribution
 Find probabilities by first finding z-score
 Apply probabilities to estimate a value
 Find the value that corresponds to a
given percentile
Apply the Central Limit Theorem
 Calculate standard error
 Find probabilities by first finding z-score
 Determine unusual values
BE SURE TO REVIEW CLASS ASSIGNMENTS #6
See next page for vocabulary items

Review notes from chapter 4
&5


Review slides and notes
Review section 5.6 #1

Review 5.4 #1

Review section 5.1 #4

Review section 5.2 #2g


Review section 5.2 #3
Review section 5.3 #4

Review section 5.5 #8
Vocabulary and other items
random variable
discrete & continuous random variables
Uniform Random Variable
Standard Normal Random Variable
Normal Random Variable
Normal Probability (Quantile) Plot
Sampling Distribution of the Mean
Central Limit Theorem
Formulas
(x) x z
z
;

Central limit theorem
 x   ; x 
z
(xx)
x

n