** Course:** MATH 3063 - 01, Introduction to
Statistics - 3 semester hours SPRING
2006

** Course Description:** A non-calculus based introductory
statistics course in which descriptive statistics, probability, discrete

and continuous distributions, hypotheses tests, and confidence intervals are studied. Basic coverage of regression, correlation, and proportions will be included.

** Learning Outcomes:** Upon successful completion of this
course, the students will know how to properly collect data, how to describe
and analyze that data, and make inferences about the population under study
based on the sample data collected. The students will also be able to calculate
probabilities for discrete and continuous variables, and describe their
distributions.

** Prerequisites:** MATH 1111 or MATH 1113 or
MATH 1634 [recommended to have a C in one of these courses]

** Instructor:** Mr. Jim Bellon jbellon@westga.edu office phone: 678) 839-4140

** Office & Hours:** Boyd
316 Mon/Wed/Fri 8:30 9am,
Mon 1:30 2, (and Fri 12:30 1:30pm by appointment only)

**Math Tutoring Center Mon/Wed 11 1, 3:30 5:30 Fri 11 12:30

** Class Meets:** MW 2:00 3:15 p.m. Room 304

__Text:____Statistics__, 10^{th}
Edition, McClave & Sincich [Pearson/Prentice Hall]

**A programmable graphing
calculator is required, preferably the TI-83.**

**You must also be able to use a
spreadsheet in Microsoft Excel.**

** Grading:** There will be 3 class session tests
(100 pts each), 1 project (150 pts), a comprehensive Final exam (250 pts), 10+
quizzes (best 8 will count for 25 pts each, for 200 pts). HW (best 4 will count
for 25 pts each, for 100 pts). This totals 1000 points. Final grades will be determined as follows:

**900 and up (
90% and up ) A**

** 800
899 ( 80% to 89% ) B**

** 700
799 ( 70% to 79% ) C**

** 600
699 ( 60% to 69% ) D**

** 599
and below ( 59% and below) F**

** Project:** Group project (1 to 3 students)
requiring some research and calculation, to be handed in by

Monday April 24^{th} . Description will be handed out at a later
date.

** Quizzes:** Expect 1 quiz every week, lasting about 15-20 minutes.

Quiz will cover recent material
for which youve had the chance to ask questions.

** Homework:** Homework will be assigned for each
textbook section. Certain HWs will be
randomly collected throughout the semester.
The HW will be graded on effort, as well as on performance. Your details of work, presentation and
neatness will be factored in to the grade.

** Final Exam:** Wednesday, May 3

** Attendance Policy:** Students are expected to attend
class and complete all work when assigned. A students grade will

not be directly affected by absence. However, the student is responsible for all material covered and assignments due whether

present or not.
**I was not here** is **NOT** a valid excuse for missing or late
assignments.

__Last Date to Withdraw:__*Thursday, March 2 ^{nd} ^{}*

This is a tentative schedule of topics and assignments. Changes will be made as needed.

Chap 1 Statistics, Data, and Statistical Thinking (1.2, 1.4, 1.9, 1.12, 1.19, 1.25, 1.29, 1.32) week 1

2.1 Describing Qualitative Data (2.1, 2.5, 2.8, 2.15, 2.20) week 1

2.2 Graphical Methods for Describing Qualitative Data (2.25, 2.28, 2.31, 2.36, 2.41) week 1 & 2

2.3 Summation Notation (2.42, 2.45) week
2

2.4 Numerical Measures of Central
Tendency (2.46, 2.49, 2.53, 2.55ac, 2.56, 2.59, 2.62, 2.68) week 2

2.5 Numerical Measures of variability (2.72,
2.74a, 2.75c, 2.76d, 2.79, 2.84) week
3

2.6 Interpreting the Standard Deviation (2.86,
2.90, 2.97, 2.101) week 3

2.7 Numerical Measures of Relative
standing (2.107, 2.110, 2.115, 2.117) week 3

2.8 Methods for Detecting Outliers (2.123,
2.125, 2.128) week
4

2.9 Graphing Bivariate Relationships (2.138,
2.139, 2.146) week 4

2.10* Distorting the Truth with Descriptive
Techniques week
4

**TEST #1 Wed Feb 8 ^{th} **

3.1 Events, Sample spaces &
probability (3.8, 3.9b, 3.10, 3.13, 3.15, 3.16, 3.22, 3.27, 3.31) week 5

3.2 Unions and Intersections (3.38, 3.40,
3.43, 3.49, 3.53, 3.56) week
6

3.3 Complementary Events (same as from
sec 3.2 above) week
6

3.4 Additive Rule & Mutually
exclusive events (same as from sec 3.2 above) week
6

3.5 Conditional Probability (3.57, 3.60,
3.62, 3.65, 3.69, 3.76, 3.82, 3.91) week
6

3.6 Multiplicative Rule & Independent
events (same as from sec 3.5 above) week
6

3.7 Random Sampling (3.96, 3.99, 3.102) week
6

4.1 Two Types of random variables (4.4,
4.8) week
7

4.2 Probability Distributions for
Discrete Variables (4.9, 4.11, 4.18, 4.25) week 7

4.3 Expected
Values of Discrete Variables (4.31, 4.36, 4.40, 4.43) week 7

4.4 Binomial
Variables (4.46, 4.47, 4.49ae, 4.51af, 4.52b, 4.57, 4.62, 4.67 ) week
7

4.5* Poisson
variables (4.72, 4.75, 4.80, 4.84) week
7

5.1 Continuous
Probability Distributions week
8

5.2 The
Uniform Distribution (5.3, 5.8, 5.13, 5.16) week
8

5.3 The
Normal Distribution (5.22, 5.25, 5.28adf, 5.33, 5.36, 5.41, 5.47 ) week
8

5.4 Descriptive
methods for Assessing Normality (5.53, 5.58, 5.65) week 8

5.5 Normal
Approximation to the Binomial (5.68, 5.71, 5.76, 5.81, 5.84) week
9

**TEST #2 Wed March 8 ^{th}**

6.1 The
Concept of a Sampling Distribution (6.5, 6.6) week
10

6.2 Properties
of Sampling Distributions (6.14, 6.19) week
10

6.3 Central
Limit Theorem (6.27, 6.30, 6.36, 6.39, 6.43) week
10

7.1 Target
Parameter for single samples week
10

7.2 Large-sample
Confidence Interval (7.2, 7.7, 7.8, 7.10, 7.13, 7.18, 7.23) week
10

7.3 Small-sample
Confidence Interval (7.29, 7.31, 7.35, 7.40, 7.41) week 11

7.5* Determining
the Sample Size (7.63, 7.68, 7.73) week
11

8.1 Tests
of Hypotheses (8.1, 8.15, 8.16) week
11

8.2 Large-sample
Test of Hypothesis (8.22, 8.25, 8.30, 8.35) week
11

8.3 P-values (8.39, 8.44, 8.46, 8.52) week 12

8.4 Small-sample
Test of Hypothesis (8.55, 8.56, 8.60, 8.61, 8.66) week
12

9.1 Target
Parameter for two samples week 12

9.2 Comparing
Two Means: Independent Sampling (9.4, 9.7, 9.12, 9.15, 9.28) week 13

**TEST #3 Wed April 12 ^{th}**

9.3 Comparing
Two Means: Paired Differences (9.34, 9.39, 9.44) week
14

11.1 Probabilistic
Models (11.5, 11.6, 11.9) week
14

11.2 Least
Squares Approach (11.14, 11.25) week
14

11.3* Model
Assumptions week
14

11.4* The
estimator of population variance (11.33, 11.40) week
15

11.5* Inferences
about slope of beta-1 (11.47, 11.52) week
15

11.6 Coefficient
of Correlation (11.62abc, 11.64, 11.69a) week
15

11.8 Using
Model for Estimation and Prediction (11.82, 11.85, 11.89, 11.90) week
15

** Notes:** the
tests will be on the dates noted above.

They will cover
whatever material has been completed one week prior to that date, and has not
been tested yet.

The final will
include material from every chapter of which you will have choices of which
topics to answer.

However, you
must do some questions from material covered after test #3. Details will be explained later.

The sections
marked with * are sections that may be eliminated if time constraints warrant
such.