PURCHASE A DIGITAL COPY PURCHASE A HARD COPY Lesson 1 Introduction to Statistical Research Methods Lesson 2 Visualizing Data Lesson 3 Central Tendency Lesson 4 Variability Lesson 5 Standardizing Lesson 6 Normal Distribution Lesson 7 Sampling Distributions Lesson 8 Estimation Lesson 9 Hypothesis Testing Lesson 10 t-Tests for Dependent Samples Lesson 11 t-Tests for Independent Samples Lesson 12 Intro to One-Way ANOVA Lesson 13 One-Way ANOVA: Test significance of differences Lesson 14 Correlation Lesson 15 Linear Regression Lesson 16 Chi-Squared Tests Afterward Index

You’ve now learned many methods of using statistics to analyze data and draw conclusions. However, that’s the easy part. The hard part is determining which test to use and for what purposes. For example:

• At-risk youth go through summer chess programs with mentors. How would you test whether or not the summer chess program helped at-risk youth perform better in school?
• You’re curious to know how chivalry towards women is changing as more women reach leadership positions in the corporate world. How would you measure “chivalry”? What data would you collect and where would you obtain your sample?
• You want to know how educational attainment differs by the predominant sector (agriculture, services, or industry) of the area in which subjects live. What test(s) would you use?

Hopefully, whenever you read any conclusions based on statistics tests you’ll be able to critique the methodologies used. In turn, you’ll get better and better at determining robust statistical research methods.

The journey doesn’t end here. Feel free to post any questions about statistics below.

 Data sets used throughout the course Country Finches Fortune 500 Marriages State data student_ages ANOVA: Rent Additional resources: ELS Longitudinal Study 2002-2012: Data from select variables of this longitudinal study, including demographic variables, standardized test scores, activities in which student participated while in high school, hours student spent doing homework, and income 10 years later (in 2011). n = 8247. Stock data set: Stock prices of 15 companies before and after the Greek bank closures on June 29, 2015 comScore Data Mine: Lots of fun findings based on data Infosthetics: Awesome data visualizations Interactivate: Explore how a histogram changes as you adjust the bin size Bureau of Labor Statistics and National Center for Education Statistics: Public microdata