# Applied Statistics

Course No: MTH 126

Course Title: Applied Statistics

Credits: Three

Catalog Description

Introduces the student to applied statistical methods used in industry and scientific applications. Emphasis will be on the practical aspects as students use descriptive and inferential statistics to analyze real data in applications of hypothesis testing, ANOVA, and linear regression and correlation. Satisfies the Quantitative Reasoning General Education requirement.

Prerequisites & Notes

Cannot be taken by students who have taken MTH 327.

Learning Outcomes

Upon completion of this course, students will be able to:

1. Know the basic elements of statistical thinking and practice.
2. Be familiar with summaries and graphs of collected data in order to analyze data and draw conclusions.
3. Summarize numerical data using measures of central tendency, dispersion, and position
4. Study linear correlation and regression
5. Understand discrete and continuous probabilistic models and apply them in business, economics and the social and physical sciences. The binomial and normal probability distributions in particular.
6. Work with sampling distributions: of the mean and of proportion.
7. Use the sampling distribution of the mean and proportion to create confidence intervals.
8. Use hypothesis tests to make inferences about population means and proportions.
9. Study significant differences between two or more population proportions or means using chi-squared tests and ANOVA.
10. Generally, to get a sense of the power of Statistics in the face of decision making under uncertainty.

Required Textbook and Supplies

Sullivan III, Michael. Fundamentals of Statistics. Informed Decisions Using Data. Pearson, 4th edition. A graphic calculator is required: TI-82 STATS or TI-83 or higher.