Download Math 3301.001.2172 Statistics

Math 3301.001.2172
Statistics - Spring 2017
Course Syllabus
Instructor:
Office:
Phone:
Email:
Mylan Redfern, Ph.D.
ST 2244
(432) 552-2260
[email protected]
Class Time: MW 2:00-3:15 pm
Room MB 3261
Textbook: Probability and Statistics, 9th edition, by Jay L. Devore
Office Hours: MW 9:00-10:00 am
TTh 1:00 – 2:00 pm. I will also meet students by appointment.
Course Goals: MATH 3301 introduces students to Statistics and Probability. Briefly, Statistics
is the discipline of collecting information and Probability is a way to model the information in
order to make predictions. In Statistics, we focus on methods for representing an accumulation
of numerical data. In Probability, we begin with the axioms of a probabilistic model, consider
how to build and interpret specific models, and end with a study of these models for a single
continuous random variable.
Prerequisite: Math 2414 – Calculus II
Learning Outcomes: By the end of this course students will be able to
 calculate the mean, median, and variance for a list of numbers
 create histograms and stem and leaf tables
 calculate sums using properties of sigma notation
 calculate the size of a finite sample space using permutations and combinations
 calculate the probability of an event using permutations and combinations
 calculate conditional probabilities
 recognize and calculate conditional probabilities to solve an application
 calculate the expected value and variance of a discrete random variable using its
probability mass function
 apply formulas for the Binomial Distribution in applications
 compute the expected value and variance of a continuous random variable using its
probability density function
 use a table of values to calculate probabilities and solve problems for a normal
distribution
 determine and interpret confidence intervals
Attendance: Attendance will be taken.
Grading: In this class you will have 3 tests and a final exam. Your course average will be
determined according to the following weights:
Test Average - 80 %
Final Exam - 20 %
Your course grade will be assigned based on your course average using the scale:
90 -100 = A; 80-89 = B, 70-79 = C; 60-69 = D; 0-59 = F
No make-up work of any kind will be allowed, except as mandated by University policy – for
example, representing UTPB at another function, and only when I have been given prior notice.
There will be no makeup exams given in this course. If you miss a test for a valid reason,
your score on the final exam will be used to fill in for the missed test. You must provide to me
in writing the reason for missing the test. If you miss more than one test, a score of zero will be
recorded for the second and subsequent missed tests.
Resources:
SMARTHINKING Online Tutoring: http://aa.utpb.edu/reach/smarthinking/
Useful Website: http://www.khanacademy.org/
University Policy on Disability:
Students requesting classroom accommodations or modifications because of a documented
disability should discuss this need with me at the beginning of the term. You must contact
Leticia Madrid, Director of the PASS Office located in Mesa Building Room 1160, phone (432)
552-2631,email [email protected] prior to requesting accommodations.
Course Schedule
DATE
TOPIC
CHAPTER.SECTION
Jan 18
Populations, Samples, Processes
Pictorial & Tabular Methods in Descriptive Statistics
1.1,1.2
Jan 23
Jan 25
Pictorial & Tabular Methods in Descriptive Statistics
Measures of Location
1.2,1.3
1.3,1.4
Jan 30
Feb 1
Measures of Variability
Sample Spaces and Events
1.4
2.1
Feb 6
Feb 8
Axioms, Interpretations, Properties of Probability
Axioms, Interpretations, Properties of Probability
2.2
2.2
Feb 13
Feb 15
TEST 1
Counting Techniques
2.3
Feb 20
Feb 22
Counting Techniques
Conditional Probability
2.3
2.4
Feb 27
Mar 1
Conditional Probability
Independence
2.4
2.5
Mar 6
Mar 8
Random Variables; Discrete Random Variables
Probability Distributions for Discrete Random Variables
Mar 13-17
SPRING BREAK
Mar 20
Mar 22
Probability Distributions for Discrete Random Variables
TEST 2
3.2
Mar 27
Mar 29
Expected Values for Discrete Random Variables
Binomial Probability Distribution
3.3
3.4
Mar 31
WITHDRAWAL DEADLINE
Apr 3
Apr 5
Binomial Probability Distribution
Continuous Random Variables and Probability Density
Functions
3.4,4.1
4.1,4.2
Apr 10
Apr 12
Cumulative Distribution Functions and Expected Values
The Normal Distribution
4.2
4.3
Apr 17
Apr 19
Distribution of the Sample Mean
Test 3
5.4
Apr 24
Apr 26
Confidence Intervals
Confidence Intervals
7.1
7.1
May 1
May 3
Large Sample Confidence Intervals for a Population mean
Large Sample Confidence Intervals for a Population mean
7.2
7.2
May 8
Final Exam: 2:45 – 4:45 pm
Cummulative
Homework Problems
Section
1.2
1.3
1.4
2.1
2.2
2.3
2.4
Problems
# 11,15,17,19,21
#33,35,39,41
#45,47,49,50,51
#1,3,4,5,9
#11,12,13,15,18,19,25
#29,31,33,37,39,43
#45,49,51,53,56,59,67
3.1,3.2
3.2
2.5
3.1
3.2
3.3
3.4
4.1
4.2
4.3
5.4
7.1
7.2
#71,73,77,79,83,86
#1,5,7
#11,12,13,15,19,23
#29,31,33,35,37
#46,47,49,50,51,55,59,65
#1,3,5,7 (a,b,c)
#11,13,15,19,23
#28,29,31,32,33,37,45,49
#46,47,49,53
#1,3,4,5,7
#13,14,15,16 (b),17