Math 301
Introduction to Probability and Statistics

Spring 2009

Section 001 3:00 to 4:30, M W

Instructor: Dr. Chris Edwards      Phone: 424-1358 or 948-3969           Office: Swart 123

Classroom: Swart 127           Text: Probability and Statistics, 7th edition, by Devore.

Required Calculator: TI-83, TI-83 Plus, or TI-84 Plus, by Texas Instruments.  Other TI graphics calculators (like the TI-86) do not have the same statistics routines we will be using and may cause you troubles.

Catalog Description:  Elementary probability models, discrete and continuous random variables, sampling and sampling distributions, estimation, and hypothesis testing.  Prerequisite: Mathematics 172 with a grade of C or better.

Course Objectives:  The goal of statistics is to gain understanding from data.  This course focuses on critical thinking and active learning.  Students will be engaged in statistical problem solving and will develop intuition concerning data analysis, including the use of appropriate technology.  Specifically students will develop

     an awareness of the nature and value of statistics

     a sound, critical approach to interpreting statistics, including possible misuses

     facility with statistical calculations and evaluations, using appropriate technology

     effective written and oral communication skills

Grading: Final grades are based on these 300 points:

 

Topic

Points

Tentative Date

Chapters

Exam 1

Summaries, Probability

50 pts.

March 9

1, 2, 3.1 to 3.3, 4.1 to 4.2

Exam 2

Distributions

50 pts.

April 15

3, 4, 5

Exam 3

Inference

50 pts.

May 13

7, 8

Group Presentations

15 Points Each

60 pts.

Various

 

Homework

10 Points Each

90 pts.

Mostly Weekly

 

 


Final grades are assigned as follows:

270 pts. or more          A (90 %)
255 pts. or more          AB (85 %)
240 pts. or more          B (80 %)
225 pts. or more          BC (75 %)
210 pts. or more          C (70 %)
180 pts. or more          D (60 %)
179 pts. or less            F

Homework:  I will collect three homework problems approximately once a week.  The due dates are listed on the course outline below.  While I will only be grading three problems, I presume that you will be working on many more than just the three I assign.  I suggest that you work together in small groups on the homework for this class. What I expect is a well thought-out, complete discussion of the problem.  Please don't just put down a numerical answer; I want to see how you did the problem.  (You won't get full credit for just numerical answers.)  The method you use is much more important to me than the final answer.

Presentations:  There will be four presentations, each worth 15 points.  The descriptions of the presentations are in the Day By Day Notes.  I will assign you to your groups for these presentations randomly, because I want to avoid you having the same members each time.  I expect each person in a group to contribute to the work; however, you can allocate the work in any way you like.  If a group member is not contributing, see me as soon as possible so I can make a decision about what to do.  The topics are:  1 - Displays (February 18).  2 - Probability (March 4).  3 - Central Limit Theorem (April 21).  4 - Statistical Hypothesis Testing (May 11).

Office Hours: Office hours are times when I will be in my office to help you.  There are many other times when I am in my office.  If I am in and not busy, I will be happy to help.  My office hours for Spring 2009 semester are 10:20 to 11:00, Monday, Tuesday, Wednesday, and Friday, and 3:00 to 4:00 Tuesday, or by appointment.

Philosophy: I strongly believe that you, the student, are the only person who can make yourself learn.  Therefore, whenever it is appropriate, I expect you to discover the mathematics we will be exploring.  I do not feel that lecturing to you will teach you how to do mathematics.  I hope to be your guide while we learn some mathematics, but you will need to do the learning.  I expect each of you to come to class prepared to digest the day’s material.  That means you will benefit most by having read each section of the text and the Day By Day notes before class.

My idea of education is that one learns by doing.  I believe that you must be engaged in the learning process to learn well.  Therefore, I view my job as a teacher as not telling you the answers to the problems we will encounter, but rather pointing you in a direction that will allow you to see the solutions yourselves.  To accomplish that goal, I will work to find different interactive activities for us to work on.  Your job is to use me, your text, your friends, and any other resources to become adept at the material.  Remember, the goal is to learn mathematics, not to pass the exams. (Incidentally, if you have truly learned the material, the test results will take care of themselves.)

Monday

Wednesday

February 2 Day 1
Introduction, Random Sampling
Section 1.1

February 4 Day 2
Graphical Summaries
Section 1.2

February 9 Day 3
 Numerical Summaries
Sections 1.3 to 1.4

February 11 Day 4
Homework 1 Due

Intro to Probability
Sections 2.1 to 2.2

February 16 Day 5
 Permutations, Combinations
Section 2.3

February 18 Day 6
Presentation 1

Trees
Section 2.4

February 23 Day 7
Homework 2 Due

Bayes', Independence
Section 2.5

February 25 Day 8
 Coins, Dice, RV's
Sections 3.1 to 3.3

March 2 Day 9
Homework 3 Due

Continuous Distributions
Sections 4.1 to 4.2

March 4 Day 10
 Presentation 2
Normal
Section 4.3

March 9 Day 11
Exam 1

March 11 Day 12
 Normal Problems
Section 4.3

March 16 Day 13
Gamma
Section 4.4

March 18 Day 14
Homework 4 Due

Probability Plots, Binomial
Sections 4.6, 3.4

March 30 Day 15
Binomial
Section 3.4

April 1 Day 16
Homework 5 Due

Hypergeometric, Negative Binomial
Section 3.5

April 6 Day 17
Normal Approx to Binomial
Section 4.3

April 8 Day 18
Homework 6 Due

Central Limit Theorem
Sections 5.3 to 5.4

April 13 Day 19
More CLT, Linear Combinations
Sections 5.4 to 5.5

April 15 Day 20
Exam 2


 

April 20 Day 21
m&m’s
Sections 7.1 and 7.2

April 21 Day 22
Presentation 3

Intro to Hypothesis Testing
Section 8.1

April 27 Day 23
Homework 7 due

Z-Procedures
Sections 7.3 and 8.2

April 29 Day 24
Testing Simulations
Section 8.4

May 4 Day 25
Homework 8 Due
t-procedures

Section 8.2

May 6 Day 26
Proportions
Sections 7.2 and 8.3

May 11 Day 27
Homework 9 Due

Presentation 4

Review

May 13 Day 28
Exam 3

Homework Assignments:  (subject to change if we discover difficulties as we go)

Homework 1, due February 13

1)         Exercise 72 Page 43

2)         Consider a sample  and suppose that the values of  and s have been calculated.  Let  and  for all i's.  Find the means and standard deviations for the  and the .

3)         Specimens of three different types of rope wire were selected, and the fatigue limit was determined for each specimen.  Construct a comparative box plot and a plot with all three quantile plots superimposed.  Comment on the information each display contains.  Also explain which graphical display you prefer for comparing these data sets.

Type 1    350         350      350      358      370      370      370      371      371      372      372      384   391      391      392

Type 2    350         354      359      363      365      368      369      371      373      374      376      380   383      388      392

Type 3    350         361      362      364      364      365      366      371      377      377      377      379   380      380      392

Homework 2, due February 23

1)         Exercise 14 Pages 57-58

2)         Exercise 40 Page 66

3)         Exercise 42 Page 67

Homework 3, due March 2

1)         In a Little League baseball game, suppose the pitcher has a 50 % chance of throwing a strike and a 50 % chance of throwing a ball, and that successive pitches are independent of one another.  Knowing this, the opposing team manager has instructed his hitters to not swing at anything.  What is the chance that the batter walks on four pitches?  What is the chance that the batter walks on the sixth pitch?  What is the chance that the batter walks (not necessarily on four pitches)?  Note: in baseball, if a batter gets three strikes he is out, and if he gets 4 balls he walks.

2)         A car insurance company classifies each driver as good risk, medium risk, or poor risk.  Of their current customers, 30 % are good risks, 50 % are medium risks, and 20 % are poor risks.  In any given year, the chance that a driver will have at least one citation is 10 % for good risk drivers, 30 % for medium risk drivers, and 50 % for poor risk drivers.  If a randomly selected driver insured by this company has at least one citation during the next year, what is the chance that the driver was a good risk?  A medium risk?

3)         Exercise 24 Pages 99-100

Homework 4, due March 20

1)         Use the following pdf and find a) the cdf b) the mean and c) the median of the distribution.

2)         Exercise 38 Page 155

3)         Suppose the time it takes for Jed to mow his lawn can be modeled with a gamma distribution using a = 2 and b = 0.5.  What is the chance that it takes at most 1 hour for Jed to mow his lawn?  At least 2 hours?  Between 0.5 and 1.5 hours?

Homework 5, due April 1

1)         Exercise 94 Page 179

2)         Exercise 54 Page 114

3)         Exercise 62 Page 115

Homework 6, due April 10

1)         A second stage smog alert has been called in a certain area of Los Angeles county in which there are 50 industrial firms.  An inspector will visit 10 randomly selected firms to check for violations of regulations.  If 15 of the firms are actually violating at least one regulation, what is the pmf of the number of firms visited by the inspector that are in violation of at least one regulation?  Find the Expected Value and Variance for your pmf.

2)         A couple wants to have exactly two girls and they will have children until they have two girls.  What is the chance that they have x boys?  What is the chance they have 4 children altogether?  How many children would you expect this couple to have?

3)         Let X have a binomial distribution with n = 25.  For p = .5, .6, and .9, calculate the following probabilities both exactly and with the normal approximation to the binomial.  a) P(15 ≤ X ≤ 20)  b) P(X ≤ 15)  c) P(20 ≤ X)  Comment on the accuracy of the normal approximation for these choices of the parameters.

Homework 7, due April 27

1)         There are 40 students in a statistics class, and from past experience, the instructor knows that grading exams will take an average of 6 minutes, with a standard deviation of 6 minutes.  If grading times are independent of one another, and the instructor begins grading at 5:50 p.m., what is the chance that grading will be done before the 10 p.m. news begins?

2)         A student has a class that is supposed to end at 9:00 a.m. and another that is supposed to begin at 9:10 a.m.  Suppose the actual ending time of the first class is normally distributed with mean 9:02 and standard deviation 1.5 minutes.  Suppose the starting time of the second class is also normally distributed, with mean 9:10 and standard deviation 1 minute.  Suppose also that the time it takes to walk between the classes is a normally distributed random variable with mean 6 minutes and standard deviation 1 minute.  If we assume independence between all three variables, what is the chance the student makes it to the second class before the lecture begins?

3)         A 90 % confidence interval for the true average IQ of a group of people is (114.4, 115.6).  Deduce the sample mean and population standard deviation used to calculate this interval, and then produce a 99 % interval from the same data.

Homework 8, due May 4

1)         A hot tub manufacturer advertises that with its heating equipment, a temperature of 100°F can be achieved in at most 15 minutes.  A random sample of 32 tubs is selected, and the time necessary to achieve 100°F is determined for each tub.  The sample average time and sample standard deviation are 17.5 minutes and 2.2 minutes, respectively.  Does this data cast doubt on the company's claim?  Calculate a P-value, and comment on any assumptions you had to make.

2)         A sample of 50 lenses used in eyeglasses yields a sample mean thickness of 3.05 mm and a population standard deviation of .30 mm.  The desired true average thickness of such lenses is 3.20 mm.  Does the data strongly suggest that the true average thickness of such lenses is undesirable?  Use a = .05.  Now suppose the experimenter wished the probability of a Type II error to be .05 when m = 3.00.  Was a sample of size 50 unnecessarily large?

3)         Exercise 24 Page 305

Homework 9, due May 11

1)         Fifteen samples of soil were tested for the presence of a compound, yielding these data values:  26.7, 25.8, 24.0, 24.9, 26.4, 25.9, 24.4, 21.7, 24.1, 25.9, 27.3, 26.9, 27.3, 24.8, 23.6.  Is it plausible that these data came from a normal curve?  Support your answer.  Now calculate a 95% confidence interval for the true average amount of compound present.  Comment on any assumptions you had to make.

2)         Exercise 20 Page 269

3)         Exercise 38 Page 310

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Last updated January 11, 2009