Chapter 5 Test Review by yX8bo4nG

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									   Stat 300
   Exam 3 Study Guide (Chapter 5)

Questions #1 (6 pts)       Be able to name all discrete and                Review notes from chapter 4
                            continuous probability distributions             &5
                            studied thus far.
Questions 2 – 6 (25 pts)  Know the mean and standard deviation of          Review slides and notes
                            a standard normal random variable               Review section 5.6 #1
                          Be able to describe the sampling
                            distribution of the mean
                          Know under what conditions the Central
                            Limit Theorem applies.
                          Know when you
Question 7 (8 pts)        Determine normality using a normal               Review 5.4 #1
                            probability plot
Question 8 (12 pts)       Find a probability from a Uniform                Review section 5.1 #4
                            distribution
Question 9 (6 pts)        The probabilities from a standard normal         Review section 5.2 #2g
                            distribution
Question 10 (6 pts)       Find a z-score given a percentile                Review section 5.2 #3
Question 11 (18 pts)     Normal distribution                                Review section 5.3 #4
(teacher problem)         Find probabilities by first finding z-score
                          Apply probabilities to estimate a value
                          Find the value that corresponds to a
                            given percentile
Question 12 (18 pts)     Apply the Central Limit Theorem                    Review section 5.5 #8
(mechanics problem)       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
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  )                               Central limit theorem
z         ; x    z
                                                        
                                         x   ;  x 
                                                          n

                                              (x   x )
                                         z
                                                 x

								
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