Statistics

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Description

The Science of Decisions

We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the … San Jose State University

Class Summary

We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the Internet has thrown open the doors to vast pools of data. Statistics are simply objective and systematic methods for describing and interpreting information so that you may make the most informed decisions about life.

What Should I Know?

It sounds strange to say, but math is not the focus of this class. To do well, however, it is necessary to have a basic understanding o…

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Didn't find what you were looking for? See also: Statistics, Six Sigma, Two Dimensional Design (2D Design), Process Management, and Project Management.

The Science of Decisions

We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the … San Jose State University

Class Summary

We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the Internet has thrown open the doors to vast pools of data. Statistics are simply objective and systematic methods for describing and interpreting information so that you may make the most informed decisions about life.

What Should I Know?

It sounds strange to say, but math is not the focus of this class. To do well, however, it is necessary to have a basic understanding of proportions (fractions, decimals, and percentages), negative numbers, basic algebra (solving equations), and exponents and square roots.



Important: Enrolling here will get you started in the free, open version of this class. If you want to take the class for credit, have access to the instructors, and additional support services, you'll need to enroll through SJSU Plus .

If you are interested in taking this course for credit, please also fill out this quick interest form!

See our Udacity / SJSU Plus FAQ for more details on how this course works and how to get college credit.

What Will I Learn?

  • The applications of statistics to everyday life
  • Methods for acquiring data through observation and experimentation
  • To organize and describe quantitative and categorical forms of data
  • Anticipating patterns using basic probability and sampling
  • Statistical inference through estimation and hypothesis testing
  • Correlation and simple regression
  • Ways of describing the strength of relationships between variables

Syllabus

Module 1: Introduction to Statistics and Methods

• Lesson 1: Intro to statistical research methods (available 1/30)

• Lesson 2: Frequency Distributions & Visualizing data (available 2/6)

Module 2: Describing Data

• Lesson 3: Central Tendency (available 2/13)

• Lesson 4: Variability (available 2/20)

Midterm 1 on Lessons 1-4 (available 2/26)

Module 3: Normal Distribution Analysis

• Lesson 5: Standardized Scores (z-scores) (available 2/27)

• Lesson 6: Probability and the Normal Distribution (available 3/6)

• Lesson 7: Sampling Distributions (available 3/13)

Module 4: Foundations of Inferential Statistics

• Lesson 8: Estimation (available 3/20)

• Lesson 9: Hypothesis Testing (available 3/27)

Midterm 2 on Lessons 5-9 (available 4/3)

Module 5: Comparing Means

• Lesson 10-11: t-tests (available 4/3)

• Lesson 12-13: One-way ANOVA (available 4/17)

Module 6: Correlation, Regression, and Non-Parametrics

• Lesson 14: Correlation (available 5/1)

• Lesson 15: Regression (available 5/8)

• Lesson 16: Chi-Squared Tests (available 5/15)

Final Exam on Lessons 10-16 (available 5/22)

Course Instructors

Sean Laraway Instructor

Sean Laraway has taught at San Jose State University since 2004. He completed a post-doctoral fellowship in Psychopharmacology. He has taught statistics at the undergraduate and graduate levels since 1998. He earned his MA and PhD in Behavior Analysis from Western Michigan University in 2003.

Ronald Rogers Instructor

Ron Rogers has been a professor of psychology at San Jose State University since 1999. Dr. Rogers has developed and taught statistics and research methods courses at both the undergraduate and graduate level. He earned his M.A. and Ph.D. in Behavioral Neuroscience from Rutgers University in 1995.

Katie Kormanik Assistant Instructor

Outside of Udacity, Katie is a curriculum writer and education consultant. She blogs about STEM education and occasionally writes articles for EdSource. Most importantly, tutoring for seven years made her passionate about teaching. She has bachelor’s degrees in math and economics from the University of Utah and a master’s degree from Stanford University in International Comparative Education. Katie loves singing, snowboarding, reading, yoga, and traveling.

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