**STAT 3013 Introduction to Probability and
Statistics**

**Cameron**** University**

**Course Syllaubs**

__Meeting Time__: MTWTh 8:00 to 9:15 a.m.

__Textbook__: ** Introduction
to Probability & Statistics**, 13

By Medenhall, Beaver, and Beaver

ISBN-13: 978-0-495-55555-1

__Instructor__: Professor
Wayne Eby

__Office__: Burch
Hall, Room B014, Main Campus (

__Office Phone__: (580)
581-2395

__Email Address__: weby@cameron.edu

__Webpage__: www.cameron.edu/~weby/index.html

__Grading Method__:
The grade will be based on one (1) Quiz/Homework grade, two (2) Midterm
Exam grades, and one (1) Final Exam grade.
The percentages are as follows:

15 % Quiz / Homework Average

45 % Midterm Exams (20 % lower, 25 % higher)

__ 40 %__ Final
Exam

100 %

__Grading Scale__:
Grades will be determined by the following scale.

90 % -- 100 % A

80 % -- 89.9 % B

70 % -- 79.9 % C

60 % -- 69.9 % D

0 % -- 59.9 % F

__Homework__: It
is important to practice with the suggested homework problems. There is a list of such problems attached to
this syllabus. I may occasionally
request the students to submit a selected number of these problems so I can
check them.

__Quizzes__: There
will be a weekly quiz, every Thursday (with the exception of week 7, during
which the quiz will be given Wednesday July 15).

__Midterm Exams__:
The date of each of the two Midterm Exams will be announced in class one
week prior to the exam date. An exam
review will be conducted in class for 1 hour during the class prior to the
exam. Be sure to be in class for both
the review and the exam. If you know in
advance you must miss an exam, you must make alternative arrangements with me
prior to the date of the exam. If you
must miss an exam for unforeseen circumstances, you must contact me as soon as
possible to arrange for the make-up.

The expected dates for the two midterms are as follows: Ex. I, Tuesday, June 23;

Ex. II, Thursday, July 16. However this is subject to change.

__Final Exam__:
The Final Exam will be cumulative and will be held the last day of
class. Be sure you will be in class this
day. If you miss the Final Exam, you
will receive a 0 and cannot pass the class.

Topics Included in Statistics 3013

Medenhall, Beaver, and Beaver, __Introduction to Probability & Statistics__

__Chapter 1:
Describing Data with Graphs__

__Section 1.1 Variables__
and Data

__Section 1.2 Types__
of Variables

__Section 1.3 Graphs__
of Categorical Data

__Section 1.4 Graphs__
for Quantitative Data

__Section 1.5 Relative__
Frequency Histograms

__Chapter 2: Describing
Data with Numerical Measures__

__Section 2.1 Describing__
a Set of Data with Numerical Data

__Section 2.2 Measures__
of Center

__Section 2.3 Measures__
of Variability

__Section 2.4 On__
the Practical Significance of the Standard Deviation

__Section 2.5 A__
Check on the Calculation of s

__Section 2.6 Measures__
of Relative Standing

__Section 2.7 The__
Five-Number Summary and the Box Plot

__Chapter 3:
Describing Bivariate Data__

__Section 3.1 Bivariate__ Data

__Section 3.2 Graphs__
for Qualitative Variables

__Section 3.3 Scatterplots__ for Two Quantitative
Variables

__Section 3.4 Numerical__
Measures for Quantitative Bivariate Data

__Chapter 4:
Probability and Probability Distributions__

__Section 4.1 Role__
of Probability in Statistics

__Section 4.2 Events__
and the Sample Space

__Section 4.3 Calculating__
Probabilities Using Simple Events

__Section 4.4 Useful__
Counting Rules (optional)

__Section 4.5 Event__
Relations and Probability Rules

__Section 4.6 __

__Section 4.7 Bayes’__ Rule (optional)

__Section 4.8 Discrete__
Random Variables and Their Probability Distributions

__Chapter 5: Several
Useful Distributions__

__Section 5.1 Introduction__

__Section 5.2 The__
Binomial Probability Distribution

__Section 5.3 The__
Poisson Probability Distribution

__Section 5.4 The__
Hypergeometric Probability Distribution

__Chapter 6: The Normal Probability Distribution__

__Section 6.1 Probability__
Distributions for Continuous Random Variables

__Section 6.2 The__

__Section 6.3 Tabulated__
Areas of the

__Section 6.4 The__

__Chapter 7:
Sampling Distributions__

__Section 7.1 Introduction__

__Section 7.2 Sampling__
Plans and Experimental Designs

__Section 7.3 Statistics__
and Sampling Distributions

__Section 7.4 The__
Central Limit Theorem

__Section 7.5 The__
Sampling Distribution of the Sample Mean

__Section 7.6 The__
Sampling Distribution of the Sample Proportion

__Section 7.7 A__
Sampling Application: Statistical
Process Control (optional)

__Chapter 8:
Large-Sample Estimation__

__Section 8.1 Where__
We’ve Been

__Section 8.2 Where__
We’re Going—Statistical Estimators

__Section 8.3 Types__
of Estimators

__Section 8.4 Point__
Estimation

__Section 8.5 Interval__
Estimation

__Section 8.6 Estimating__
the Difference between Two Population Means

__Section 8.7 Estimating__
the Difference between Two Binomial Proportions

__Section 8.8 One__-Sided
Confidence Bounds

__Section 8.9 Choosing__
the Sample Size

__Chapter 9:
Large-Sample Tests of Hypotheses__

__Section 9.1 Testing__
Hypotheses about Population Parameters

__Section 9.2 A__
Statistical Test of Hypothesis

__Section 9.3 A__
Large-Sample Test about a Population Mean

__Section 9.4 A__
Large-Sample Test of Hypothesis for the Difference between Two Population Means

__Section 9.5 A__
Large-Sample Test of Hypothesis for a Binomial Proportion

__Section 9.6 A__
Large-Sample Test of Hypothesis for the Difference between Two Binomial
Proportions

__Section 9.7 Some__
Comments on Testing Hypotheses

__Chapter 10: Inference From Small Samples__

__Section 10.1 Introduction__

__Section 10.2 Student’s__
t Distribution

__Section 10.3 Small__-Sample
Inferences Concerning a Population Mean

__Section 10.4 Small__-Sample
Inferences for the Difference between Two Population Means: Independent Random Samples

__Section 10.5 Small__-Sample
Inferences for the Difference between Two Population Means: A Paired-Difference Test

__Section 10.6 Inferences__
Concerning a Population Variance

__Section 10.7 Comparing__
Two Population Variances

__Section 10.8 Revisiting__
the Small-Sample Assumptions

List of Suggested Problems

Medenhall, Beaver, and Beaver,
Introduction to Probability & Statistics, 13^{th} edition

1.3: #1.3, 1.5, 1.7, 1.11, 1.13

1.5: #1.19, 1.21, 1.23, 1.25, 1.27, 1.31

Ch. 1 Supplementary: #1.41, 1.43, 1.45, 1.47, 1.49, 1.51, 1.59, 1.63

2.2: #2.1, 2.3, 2.5, 2.11

2.3: #2.13, 2.15, 2.17

2.5: #2.19, 2.21, 2.25, 2.27, 2.29, 2.31, 2.33, 2.35

2.7: #2.43, 2.45, 2.47, 2.51

Ch. 2 Supplementary: #2.55, 2.57, 2.61, 2.67, 2.71, 2.75, 2.83

3.2: #3.1, 3.3, 3.5, 3.7

3.4: #3.11, 3.13, 3.15, 3.17

Ch. 3 Supplementary: #3.21, 3.23, 3.25, 3.29, 3.31, 3.35, 3.37, 3.39

4.3: #4.1, 4.3, 4.5, 4.7, 4.9, 4.13, 4.15

4.4: #4.17, 4.19, 4.21, 4.23, 4.27, 4.29, 4.33

4.6: #4.43, 4.45, 4.47, 4.49, 4.51, 4.55, 4.59, 4.63

4.7: #4.69, 4.71, 4.73, 4.75, 4.77, 4.79

4.8: #4.81, 4.83, 4.85, 4.87, 4.91, 4.93, 4.97

Ch. 4 Supplementary: #4.101, 4.103, 4.107, 4.109, 4.113, 4.119, 4.121, 4.125, 4.127, 4.129

5.2: #5.1, 5.3, 5.5, 5.7, 5.9, 5.11, 5.15, 5.17, 5.19, 5.23, 5.27, 5.29, 5.31

5.3: #5.35, 5.37, 5.39, 5.41, 5.43, 5.45

5.4: #5.49, 5.51, 5.53, 5.55

Ch. 5 Supplementary: #5.59, 5.61, 5.63, 5.69, 5.73, 5.75, 5.81, 5.83, 5.87, 5.91

6.3: #6.1, 6.3, 6.5, 6.7, 6.9, 6.11, 6.13, 6.15, 6.19, 6.21, 6.25, 6.27, 6.31

6.4: #6.37, 6.39, 6.43, 6.45, 6.47, 6.53

Ch. 6 Supplementary: #6.55, 6.57, 6.59, 6.61, 6.63, 6.65, 6.69, 6.71, 6.73, 6.73, 6.79, 6.81

7.2: #7.3, 7.5, 7.7, 7.9, 7.11

7.5: #7.19, 7.21, 7.23, 7.25, 7.27, 7.29, 7.31

7.6: #7.37, 7.39, 7.41, 7.43, 7.45, 7.47

7.7: #7.49, 7.51, 7.53, 7.55, 7.57

Ch. 7 Supplementary: #7.61, 7.63, 7.65, 7.67, 7.69, 7.71, 7.73, 7.75, 7.77, 7.81

8.4: #8.3, 8.5, 8.7, 8.9, 8.11, 8.13, 8.15, 8.17, 8.21

8.5: #8.23, 8.25, 8.27, 8.29, 8.31, 8.33

8.6: #8.39, 8.43, 8.45, 8.47

8.7: #8.51, 8.53, 8.57, 8.61

8.9: #8.63, 8.65, 8.67, 8.71, 8.73, 8.77, 8.79

Ch. 8 Supplementary: #

9.3: #

9.4: #

9.5: #

9.6: #

Ch. 9 Supplementary: #

10.3: #

10.4: #

10.5: #

10.6: #

10.7: #

Ch. 10 Supplementary: #