Data Analysis Helps

A teacher's class lecture using a screen cast of a Notebook file. It's not interactive but gives a good explanation of median, mode, and mean.

Robert Niles gives a solid text-based explanation of standard deviation. This would likely only work for high schoolers (possibly) or higher education students.

This 20-min tutorial looks at standard deviation. It includes text, audio explanations, and a few visuals.

This lesson covers normal distribution through text, a few diagrams, and exercises. It is static but could provide a good review for a student who missed class that day and needs to see what was covered.

This is an excellent tutorial that covers AP statistics concepts. It includes videos, interactive activities, and explanations.

I love, love, love Khan Academy. If students watched most/all of these they would have a much better understanding that can supplement their course work.

One thing I love about Khan Academy is Khan's ability to explain difficult concepts in everyday English, in a way that is easier to grasp. This video is no exception. He explains statistics as a way to get your head around data using descriptive and inferential data. Descriptive data is particularly beneficial to evaluation reports in that it explains indicative data without having to go over all the numbers specifically. This is good for data analysis reporting. Inferential data uses samples to draw conclusions that are representative of the entire data set using central tendency.

This is a great 2-min tutorial explaining the median. The teacher has a pleasant, conversational tone (which is why I love Khan) and he puts students at ease. He uses the 7-day forecast (an authentic real-life application) to demonstrate "the number in the middle." He shows what a common mistake might be of students choosing the actual number in the middle before arranging them in sequential order. When he is finished, he lists the two basic steps for finding the median. Short, fun, and purposeful.

This online data analysis tutorial covers qualitative and quantitative data analysis. It includes definitions, further readings, examples, self tests, and explanations. I particularly like the examples of qualitative data analysis, as it shows examples in analyzing text data (including an interview transcript) and analyzing visual data (based on several photographs). The quantitative data analysis section gets into the meat of descriptive and inferential statistics.

Math Made Easy is a great video explanation of mode, median, mean, and range of a set of numbers. It's friendly, short, and helpful.

A 3-min video of a lecture explaining mean, median, and mode. Simple, direct, no-frill approach.

a very basic multimedia presentation (with annoying sound effects) explaining mean, median, and mode. Only has a few slides with no quiz capability

busy, hard to read site that explains central tendency and lets you plug in numbers

uses a real-life example (elections!) to explain why statistics should matter lecture-based video but easy to understand and it shows text and occasional visuals

built-in tutorial to explore mean, median, and mode

fast-paced explanation of mean, mode, and median set to funky music. moves faster than most students will be able to keep up with. good for review but not necessarily for instruction.

A 2-min video tutorial on median. A short, simple way to reinforce this concept.

A short, catchy video song about mean, median, and mode

This 4.5-minute video gives a good explanation of median, mode, and mean. It's thorough but not overwhelming and would be good either as instructional supplement or review.

A UK-based free, online tutorial geared for higher educational students to help them explore data analysis. It includes explanations, definitions, interactive quizzes, data tools, and research issues for both qualitative and quantitative analysis. It also includes downloadable sample documents such as surveys, observation checklists, interview transcripts, focus group questions, and others. This site is covers all the bases to get students started and build their understanding.