Textbook: Elementary Statistics – A Step by Step Approach, fifth editon. Bluman, Allan G., 2004, McGraw Hill.
Course Overview:
This course will cover descriptive and inferential statistics, ungrouped and grouped data, elementary probability, discrete and continuous statistical inference, significance and distribution measures, and regression and correlation analysis. Students may earn three hours of college credit through the Metropolitan Community Colleges system if they meet MCC requirements. One honor point may be earned for successful completion of the course for college credit at the end of the semester. The MCC fee is required for college credit and must be paid within the first week of the semester.
Required Materials:
ü Pencil and Pen
ü Lined Notebook Paper
ü Graph Paper - www.printfreegraphpaper.com , optional.
ü Graphing Calculator – If you are purchasing a graphing calculator, TI-83 or TI-84 is preferred. The use of the TI-89 or TI-inspire calculator will not be allowed on tests or quizzes.
ü If a student is unable to purchase one of the mentioned calculators, one will be available to use in class. At home the student can use the following free downloadable TI-83, http://academic.cuesta.edu/jpandosh/Math232/Downloading%20the%20Virtual%20Ti.htm. If a student cannot download the following calculator have the student talk to me regarding this issue privately.
Evaluation
Grading Scale: We will follow the BSSD policy for letter grades.
90% - 100% A
80% - 89% B
70% - 79% C
60% - 69% D
0 % - 59% F
Grading Weights: Your grade will be weighted based on the following:
ü 10% - Daily Work
ü 70% - Unit Tests
ü 20% - Semester Final
Course Units:
ü The Nature of Probability and Statistics
o Nature of Probability
o Summary
ü Frequency Distributions and Graphs
o Introduction
o Organizing data
o Histograms, Frequency Polygons, and Ogives
o Other Types of Graphs
o Summary
ü Data Description
o Introduction
o Measures of Central Tendency
o Measures of Variation
o Measures of Position
o Exploratory Data Analysis
o Summary
ü Probability and Counting Rules
o Introduction
o Sample Spaces and Probability
o The Additions Rules for Probability
o The Multiplication Rules and Conditional Probability
o Counting Rules
o Probability and Counting Rules
o Summary
ü Discrete Probability Distributions
o Introduction
o Probability Distributions
o Mean, Variance, and Expectation
o The Binomial Distributions
o Summary
ü The Normal Distribution
o Introduction
o Properties of Normal Distribution
o The Standard Normal Distribution
o Applications of the Normal Distribution
o The Central Limit Theorem
o The Normal Approximation to the Binomial Distribution
o Summary
ü Confidence Intervals and Sample Size
o Introduction
o Confidence Intervals using the Z-Interval and Sample Size
o Confidence Intervals using the T-Interval
o Confidence Intervals and Sample Size for Proportions
o Summary
ü Hypothesis Testing
o Introduction
o Steps in Hypothesis Testing Traditional Method
o Z-Test for Mean
o T-Test for Mean
o Z-Test for Proportion
o Summary
ü Testing the Difference between Two Means, Two Variables, and Two Proportions
o Introduction
o Testing the Difference between Two Means: Large Samples
o Testing the Difference between Two Variances
o Testing the Difference between Two Means: Small Independent Samples
o Testing the Difference between Two Means; Small Dependent Samples
o Testing the Difference between Two Proportions
o Summary
ü Correlation and Regression
o Introduction
o Scatter Plots
o Correlation
o Regression
o Summary
ü Other Chi Square Tests
o Introduction
o Test for Goodness of Fit
o Test Using Contingency Table
o Summary