Course Syllabus
Course Goals
The primary goals for this course are to help you to develop:
- the already familiar concepts of statistics, such as variability, distribution, association, causation, sampling, experimentation, confidence, and significance,
- the ability to apply statistical methods to calculate confidence intervals based on some level of confidence and interpret the results using inferential methods,
- the ability to apply statistical methods to conduct a hypothesis test, draw conclusions and make sound decisions based on sample data, and
- a critical perspective with which to analyze and assess statistical arguments such as one encounter in the popular press and scholarly publications.
Course Outcomes
Upon successful completion of the course, students will be able to:
- Apply and interpret the Central Limit Theorem for means and proportions,
- Calculate and interpret confidence intervals for a population mean and a population proportion,
- Discriminate between the use of standard normal distributions and t-distributions,
- Determine the sample size required to achieve a designated margin of error and confidence level,
- Understand Type I and II Errors,
- Conduct and interpret hypothesis tests for a single population means and a single population proportion, as well as two population means and two population proportions,
- Conduct and interpret hypothesis tests for matched or paired samples,
- Conduct and interpret Chi-square goodness-of-fit and test of independence hypothesis tests,
- Interpret the F-distribution and One-Way Analysis of Variance (ANOVA), and
- Use appropriate statistical techniques, specifically confidence intervals and hypothesis tests, to analyze and interpret applications based on data from disciplines including business, social sciences, psychology, life science, health science, and education.
Course Content
- The Central Limit Theorem,
- Confidence Intervals,
- Hypothesis Testing with One Sample,
- Hypothesis Testing with Two Samples,
- The Chi-Square Distribution,
- Hypothesis Testing for Linear Regression and Correlation,
- F-Distribution and One-Way Anova,
- Applications using data from disciplines including business, social sciences, psychology, life science, health science, and education, and
- Statistical analysis using technology, such as SPSS, EXCEL, Minitab, or graphing calculators.
Textbook
Your textbook for this class is available for free online!
Statistics from OpenStax, ISBN 1-947172-05-0
You have several options to obtain this book:
- View online (Links to an external site.) (Links to an external site.)
- Download a PDF (Links to an external site.) (Links to an external site.)
- Download on iBooks (Links to an external site.) (Links to an external site.)
You can use whichever formats you want. Web view is recommended -- the responsive design works seamlessly on any device.
Calculator
You are certainly allowed and encouraged to use any calculator that you already own and are comfortable with. You do not need to purchase a specific calculator for this course. We will make use of various web resources that are free.
Grading
The following describes the method of computing the final grade for this course:
Discussions/Assignments 10%
Homework 25%
Computer Labs 15%
Midterm Exam 20%
Cumulative Final Exam 30%
Grading System
A 93% and above
A- 90 - 92%
B+ 87 - 89%
B 83 - 86%
B- 80 - 82%
C+ 77 - 79%
C 73 - 76%
C- 70 - 72%
D 60 - 69%
F 59% and below
Academic Integrity
Students are expected to observe, at all times, the highest ethical standards as members of the academic community. Any form of dishonesty makes a student liable to severe sanctions, including expulsion from the College. For details, see the Academic Standards section under Academic Information in the General Information Area of the College Catalog or in the Community Standards area of the Student Handbook. Reference the Student Resources link to the left or click here. Then scroll down near the bottom of the page and read all of the Student Support Statements. Take the Student Support Statements Quiz when you are finished.
Course Summary:
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