Stat 300 Course Syllabus
Prerequisites: The official prerequisite for this course is Math 120 or 124 or 125 (Intermediate Algebra) or Math 129 (Elementary and Intermediate Algebra) or 133 (Combined Algebra) with a grade of C or better.
Accepted for Credit: AA, CSU/UC
Textbook: Elementary Statistics: Picturing the World (6th ed) by Larson/Farber (packaged with required online MyStatLab), is available in bookstore or at MyMathLab Website (http://pearsonmylabandmastering.com). All of your homework assignments will be from required online courseware. The book with courseware will provide useful examples and explanations of the material covered. Since this is a course with required hw online, purchase/installation of materials needs to be immediate.
Computer: Computer assignments will be made and may be completed either in the LRC or at home (providing your computer has the following specs and software).
Windows 7/8Firefox, Chrome
Mac OS 10.7/10.8(Lion) or 10.6(Snow Leopard)Firefox, Safari, Chrome
|Refer to MyMathLab (MyStatLab) website for additional free/required plug-ins|
Material to be Covered: Chapters 1 - 10
Topics include elementary principles and applications of descriptive statistics, counting and elementary probability principles, probability distributions, estimation of parameters, hypothesis testing, linear regression and correlation, and Analysis of Variance (ANOVA). A scientific calculator that has a stat package (2-variable) is used throughout the course.
Student Learning Outcomes -- Upon completion of this course, the student will be able to:
- identify methods of obtaining data and related advantages and disadvantages of each.
- distinguish between types of data as well as their different scales of measurement and corresponding implications.
- organize and display data appropriately using tables and graphs.
- analyze data by computing measures of central tendency, measures of dispersion, and measures of position.
- analyze bivariate data for linear trends using the least-squares regression model and correlation coefficient.
- distinguish between probability models appropriate to different chance events and calculate probability according to these methods.
- analyze both discrete and continuous probability distributions, including binomial probability and normal distributions, by examining and interpreting areas under the graph of a histogram or a normal curve.
- apply inferential statistical methods to compare population parameters, make predictions, and draw conclusions about hypotheses.
- select the appropriate hypothesis test, perform the necessary computations and comparisons for the test (including signficance of p-values and type I/II errors), and explain the conclusion of the test.
- test the significance of correlation and make predictions based on linear trends using the least-squares regression model.
- create and interpret confidence interval estimates for population parameters based on appropriate probability models.
- analyze and interpret applications using data from various disciplines including business, social sciences, psychology, life sciences, health science and education.
- use statistical software to calculate single-variable and two-variable statistics and analyze the results.
Graphing Calculator: TI 83/84 is REQUIRED! (also noted in Fall 2015 schedule)
Determination of Your Grade: Your grade in this class will be based on your scores on the exams, quizzes/homework, and final. The total points possible will be approximately the following...
|3 Exams (100 points each)||60% grade|
|In-Class Quizzes||5% grade|
|Online HW - MyStatLab||10% grade|
|Comprehensive Final Exam||25% grade|
For grading purposes, your lowest 100-point exam may be replaced with half of your final exam score (if higher)- thus, no late make-up exams are permitted. And, since I do provide several opportunities for "bonus" quizzes, there will also be NO make-ups on quizzes or homework. Grading will be by percentage...
|89.5 - 100 % A||69.5 - 79.4 % C|
|79.5 - 89.4 % B||
59.5 - 69.4 % D
less than 59.5% F
Stat 300 Course Syllabus (PDF format) - including MyStatLab Info, Course Schedule, available to print.
Stat 300 Intro Letter (PDF format) - available to print.