Unit Plan
Radford University

Are Kitchen Cabinets at the Correct Height? Lesson 6

For Teachers 9th - 12th Standards
Don't hit your head on the kitchen cabinet. Using previously collected female height data, scholars apply confidence intervals and tests of significance to perform a data analysis. They connect the data to the height of kitchen cabinets...
Unit Plan
CK-12 Foundation

Ck 12: Statistics: Confidence Intervals

For Students 11th - 12th
[Free Registration/Login may be required to access all resource tools.] This Concept introduces students to using and interpreting confidence intervals.
Unit Plan
Stefan Warner and Steven R. Costenoble

Finite Mathematics & Applied Calculus: Confidence Intervals

For Students 9th - 10th
Students learn about confidence intervals. Topics explored are the Central Limit Theorem, large sample confidence intervals, and confidence intervals for small samples. The tutorial investigates the statistics concept through class notes...
Unit Plan
CK-12 Foundation

Ck 12: Statistics: Tests of Single Variance

For Students 11th - 12th
[Free Registration/Login may be required to access all resource tools.] This Concept introduces students to testing variance using the chi-square distribution as well as creating a confidence interval for the variance.
Unit Plan
Other

Magoosh: Statistics Fundamentals

For Students 9th - 10th Standards
An online course on the fundamentals of statistics including video lessons in Mean, Median, and Mode; Weighted Averages; Quartiles and Boxplots; Range and Standard Deviation; Normal Distribution; Z-scores; Intro to Inferential...
Unit Plan
NC State University

Nc State University: Multiple Regression

For Students 9th - 10th Standards
Excellent, comprehensive site on multiple regression. Key terms are defined and explained as needed. Links to relevant topics are provided.
Unit Plan
CK-12 Foundation

Ck 12: Statistics: One Way Anova Tests

For Students 11th - 12th
[Free Registration/Login may be required to access all resource tools.] This Concept demonstrates how to use ANOVA to compare multiple means as pairs of hypotheses.