* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

Survey

* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

Document related concepts

Transcript

Prob/Stat PROBABILITY AND STATISTICS DESCRIPTION This course involves the collection and analysis of statistical data as used in business, industrial, social and scientific research. Topics include data collection, numerical methods of analysis, statistical distributions, probability, principles of counting, linear correlations and hypothesis testing. Some computer work may be included. OUTLINE 1. Probability a. sample space b. dependent and independent events c. addition and multiplication rules d. conditional probability 2. Probability distributions a. mean and standard deviation b. binomial distribution c. Student-t d. Chi-square 3. Descriptive statistics a. frequency distributions b. measures of central tendency c. measures of dispersion d. measures of position e. linear correlation and regression 4. The normal distribution a. z-scores 5. Sampling a. random sample b. stratified sample c. distribution of sample means d. Central Limit Theorem 6. Inferential statistics a. hypothesis testing b. two error types c. estimation i. point and interval estimates ii. level of confidence Prob/Stat d. e. 7. inferences involving one population inferences involving two populations Optional topics a. correlation coefficient COURSE OBJECTIVES 1. 2. 3. 4. Introduce those ideas of probability necessary to the understanding of statistics. Introduce the basic concepts of inferential and descriptive statistics. Give the students an understanding of the uses of statistics in common situations. Give the students an ability to understand the use of statistical and probabilistical language as used in magazines, journals and newspapers. METHODS OF INSTRUCTION 1. 2. 3. 4. 5. 6. 7. Reading of text and resource material. Lectures. Teacher directed small and large group instruction. Homework assignments. Cooperative learning groups. Student projects. Use of overhead projector and other audio-visual materials as appropriate. METHODS OF EVALUATION 1. 2. 3. 4. 5. Attendance in accordance with school policy. Assessment of homework and class assignments. Assessment of group labs and /or projects. Results of tests and quizzes. Results of departmental examinations. INSTRUCTIONAL MATERIALS 1. 2. 3. Textbook: Understandable Statistics, 7th Ed. , Brase, Brase, 2003 Supplementary material Journal, magazine and newspaper articles. Rev 2003