COURSE OUTLINE
Midlands Technical College
COURSE DESCRIPTION: This course includes the following topics: Estimation of parameters; formulation and testing of hypotheses; multiple and non-linear regression; correlation; contingency tables; analysis of variance; special distributions; introduction to non-parametric statistics.
TEXT: Elementary Statistics: A Step by Step Approach, 5th Edition by Allan G. Bluman, McGraw-Hill, 2004
PREREQUISITE: MAT 120
REQUIRED: Graphing Calculator, preferably TI-83, TI-83+
GRADING SCALE:
A 90 - 100 B 80 - 89 C 70 - 79 D 60 - 69 F Below 60
MATHEMATICS DEPARTMENT ATTENDANCE REQUIREMENTS
DEFINITIONS:
ABSENCE - Failure to be present for a scheduled meeting of the class or arriving for the class more than ten minutes after the scheduled time for the class to begin.
TT TARDY --- Arrival to class after the instructor has called the roll and before ten minutes past the time scheduled for the class to begin.
I. Absences are counted from the first day of classes.
II. Five absences are allowed for a class that meets three times per week, and three absences for a class that meets two times per week.
III. Three tardies are considered as one absence. The student must meet with the instructor at the end of the class to which he has been late to have the absence changed to a tardy.
IV. There are no "excused" absences; all absences are counted, regardless of the reason for the absence.
V. A student missing class time by leaving early will also be counted absent.
Please note: You are responsible for all material and announcements presented, whether you are present or absent.
MAT 220 ADVANCED STATISTICS
| WEEK |
TOPIC |
SECTION |
| 1 | Confidence Intervals and Sample Size | |
| Introduction | 7.1 | |
| Confidence Intervals for the Mean and Sample Size | 7.2 | |
| Confidence Intervals for the Mean | 7.3 | |
| Confidence Intervals and Sample Size for Proportions | 7.4 | |
| 2 | Confidence Intervals for Variances and Standard Deviations | 7.5 |
| Hypothesis Testing | ||
| Introduction | 8.1 | |
| Steps in Hypothesis Testing - The Traditional Method | 8.2 | |
| z Test for a Mean | 8.3 | |
| 3 | t Test for a Mean | 8.4 |
| z Test for a Proportion | 8.5 | |
| c2 Test for a Variance or Standard Deviation | 8.6 | |
| Additional Topics Regarding Hypothesis Testing | 8.7 | |
| 4 | TEST 1 | |
| Testing the Difference Between Two Means, Two Variances and Two Proportions | ||
| Introduction | 9.1 | |
| Testing the Difference Between Two Means: Large Samples | 9.2 | |
| 5 | Testing the Difference Between Two Means: Small Independent Samples | 9.4 |
| Testing the Difference Between Two Means: Small Dependent Samples | 9.5 | |
| Nonparametric Statistics | ||
| Introduction | 13.1 | |
| Advantages and Disadvantages of Nonparametric Methods | 13.2 | |
| 6 | The Sign Test | 13.3 |
| The Wilcoxon Signed-Rank Test | 13.5 | |
| TEST 2 | ||
| 7 | Testing the Difference Between Two Proportions | 9.6 |
| Testing the Difference Between Two Variances | 9.3 | |
| 8 | The Wilcoxon Rank Sum Test | 13.4 |
| TEST 3 | ||
| 9 | Correlation and Regression | |
| Introduction | 10.1 | |
| Scatter Plots | 10.2 | |
| Correlation | 10.3 | |
| Regression | 10.4 | |
| 10 | Coefficient of Determination | 10.5 |
| Multiple Regression | 10.6 | |
| 11 | The Spearman Rank Correlation Coefficient and Runs | 13.7 |
| TEST 4 | ||
| Other Chi-Square Tests | ||
| Introduction | 11.1 | |
| 12 | Test for Goodness of Fit | 11.2 |
| Tests Using Contingency Tables | 11.3 | |
| 13 | Analysis of Variance | |
| Introduction | 12.1 | |
| One-Way Analysis of Variance | 12.2 | |
| The Kruskal-Wallis Test | 13.6 | |
| 14 | Final Project |