SCCI Digital Library and Forum

Khan Academy

S# Lecture Course Institute Instructor Discipline
17651
Stem and leaf plots review (K-A)
Displaying quantitative data with graphs (K-A) Khan Academy Basic and Health Sciences
17652
Stem-and-leaf plots (K-A)
Displaying quantitative data with graphs (K-A) Khan Academy Basic and Health Sciences
17653
Box plot review (K-A)
Box and whisker plots (K-A) Khan Academy Basic and Health Sciences
17654
Constructing a box plot (K-A)
Box and whisker plots (K-A) Khan Academy Basic and Health Sciences
17655
Identifying outliers with the 1.5xIQR rule (K-A)
Box and whisker plots (K-A) Khan Academy Basic and Health Sciences
17656
Interpreting box plots (K-A)
Box and whisker plots (K-A) Khan Academy Basic and Health Sciences
17657
Judging outliers in a dataset (K-A)
Box and whisker plots (K-A) Khan Academy Basic and Health Sciences
17658
Reading box plots (K-A)
Box and whisker plots (K-A) Khan Academy Basic and Health Sciences
17659
Worked example: Creating a box plot (even number of data points) (K-A)
Box and whisker plots (K-A) Khan Academy Basic and Health Sciences
17660
Comparing range and interquartile range (IQR) (K-A)
Interquartile range (IQR) (K-A) Khan Academy Basic and Health Sciences
17661
Worked example: Creating a box plot (odd number of data points) (K-A)
Box and whisker plots (K-A) Khan Academy Basic and Health Sciences
17662
Interquartile range (IQR)-video (K-A)
Interquartile range (IQR) (K-A) Khan Academy Basic and Health Sciences
17663
Interquartile range review (K-A)
Interquartile range (IQR) (K-A) Khan Academy Basic and Health Sciences
17664
Calculating the mean (K-A)
Measuring center in quantitative data (K-A) Khan Academy Basic and Health Sciences
17665
Choosing the "best" measure of center (K-A)
Measuring center in quantitative data (K-A) Khan Academy Basic and Health Sciences
17666
Mean, median, & mode example (K-A)
Measuring center in quantitative data (K-A) Khan Academy Basic and Health Sciences
17667
Mean, median, and mode review (K-A)
Measuring center in quantitative data (K-A) Khan Academy Basic and Health Sciences
17668
Statistics intro: Mean, median, & mode (K-A)
Measuring center in quantitative data (K-A) Khan Academy Basic and Health Sciences
17669
Comparing means of distributions (K-A)
More on mean and median (K-A) Khan Academy Basic and Health Sciences
17670
Review and intuition why we divide by n-1 for the unbiased sample variance (K-A)
More on standard deviation (K-A) Khan Academy Basic and Health Sciences
17671
Impact on median & mean: increasing an outlier (K-A)
More on mean and median (K-A) Khan Academy Basic and Health Sciences
17672
Simulation providing evidence that (n-1) gives us unbiased estimate (K-A)
More on standard deviation (K-A) Khan Academy Basic and Health Sciences
17673
Impact on median & mean: removing an outlier (K-A)
More on mean and median (K-A) Khan Academy Basic and Health Sciences
17674
Simulation showing bias in sample variance (K-A)
More on standard deviation (K-A) Khan Academy Basic and Health Sciences
17675
Mean as the balancing point (K-A)
More on mean and median (K-A) Khan Academy Basic and Health Sciences