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Chapter 3 suggested problems: 3, 9, 13, 25, 29, 43, 45, 49, 56 (answer: not independent)
Assigned problems
Problem 1: A quality control engineer samples five from a large lot of manufactured firing pins
and checks for defects. Unknown to the inspector, th
Chapter 6 suggested problems: 1, 3, 5, 9, 21, 45, 53, 57
Assigned problems
Problem 1. A manufacturing company has developed a fuel-efficient machine that combines
pressure washing with steam cleaning. It is designed to deliver 7 gallons of cleaner per min
Chapter 1 and 2 practice problems
Problems with book solutions:
Chapter 1: 3, 9, 19, 25
Chapter 2: 11, 15, 27, 41, 49, 55, 67, 73, 81, 99, 107
Practice problems
Problem 1: Do problem 1.2 in the textbook, parts a, c, and d (exclude b. trimmed mean), and ad
1
Chapter 10: Hypothesis Testing
Main Topics:
1. What is a hypothesis test?
2. One vs. two tailed tests
3. Using p-values to make decisions
4. Testing hypotheses of means
5. Testing hypotheses of variances
2
Hypothesis testing defined
Formalized method o
Ch.5 Discrete Distributions
1.
2.
3.
4.
5.
Uniform
Binomial
Negative Binomial
Geometric
Poisson
Experimental Data
Day X: # defects (out of 5)
1
You choose 5 items randomly
each day to test for quality.
Let X be the number of defects
found within each 5-i
1
Chapter 8: Sampling Distributions
Main Topics:
1. How do you collect random samples for
experiments?
2. What is the difference between sample statistics
and true parameters?
3. What are the sampling distributions for means
and variances?
4. What distrib
Chapter 6: Continuous
Distributions
1.
2.
3.
Uniform
Normal
Exponential
Uniform and Normal Distributions
Uniform distribution
Normal distribution
Area under normal curve
Using the normal table
Standard normal distribution
Normal distribution problem t
1
Chapter 3: Random Variables
and Probability Distributions
1.
2.
3.
4.
Random variable definitions
Discrete probability distributions
Continuous probability distributions
Joint probability distributions
2
Objectives: 3.1-3.2
To define random variables f
1
IE 3302: Probability and
Statistics
Fall 2015
Instructor: Dr. Ikuma
2
Todays Schedule
1. Syllabus
2. Introductions, attendance
3. Ch. 1: Introduction to Statistics and Data
Analysis
3
Where can we find statistics in life?
4
Where can we find statistics
1
Chapter 4: Mathematical
Expectation
1. Mean of a random variable (4.1)
2. Variance and covariance of a random variable
(4.2)
3. Means and variances of linear combinations
of random variables (4.3)
(Note: skip p. 133-137, nonlinear functions
and Chebyshe