Basic descriptive statistics, probability, hypothesis testing, correlation, and regression. Statistical computer software is used to analyze data.

* Prerequisites:* MATH 110, MATH 107,

Text(s): Understanding Basic Statistics- 3rd
Edition, by Brase and Brase, ©2004 by Houghton Mifflin Company, ISBN
0-618-31553-5. |

**Objectives:**

- Student(s) will become familiar with and experience organizing data for statistical analysis and presentation
- Students will be able to use basic concepts in characterizing and analyzing data statistically such as computing and interpreting aggregate statistics such as means, standard deviations, under standing distribution functions, discrete probability, normal distributions, hypothesis testing, correlation and regression.

**Methodology:** Introduction to Statistics will be
presented as a combination of classroom lectures, workshops, demonstrations,
statistical experiments, question and answer, discussion, and experiments.
Homework will be assigned and frequent quizzes will given to assess student
performance.

**Grading:**

Grades will be based on student performance on

1) Homework Assignments,

2) a Mid-term Examination,

3) a Final Examination, and

4) other examinations, quizzes and assignments as the teacher shall assign.

The final grade will
be computed using a set of weights with the major assignments gathered into
clusters of equal significance with the highest grade weighted
highest and the other clusters given weights declining in precedence order:
highest to lowest grade on clusters. An example set of weights which reflects the
intention but may be modified somewhat would be: 5 clusters with declining
weights 30, 25, 20, 15, 10. This means the student's worst result is
weighted one third as much as the student's best result. This helps
students with isolated bad results.

Also See Generic Policies.

**Policy Statement:** (Generic
Policies)