What makes data big? The 38th installment in the series Crash Course Statistics provides a definition of big data and its origins. It shows various methods and resources on how to collect big data and how companies use big data for a...

What are you growing in your math classroom? Scholars use a video lesson to learn how to read a stem and leaf diagram. The video instructor explains how to interpret the key and then explores how to find the range, mode, and median from...

The big, the bad, and the ugly of data. The resource picks up from the description of big data and discusses the possible problems. Using examples, the 39th video in the series of Crash Course statistics explains how some use big data...

Whiskers are more than just a cat facial feature! Learn how the whiskers of a box-and-whisker help make conclusions about a data set. An instructor first explains how to create a box-and-whisker and then how to read it. Several examples...

Elucidating the concept of box-and-whisker plots, Sal explains not only how to generate the diagram but also how to read one. He uses several examples to help young mathematicians become familiar with the format and explains its...

Clever marketers can use visual statistics to mislead their target populations. Explore these visual misrepresentations with a video lesson from a larger statistics playlist. The lesson instructor explains visual representations of both...

Learn about statistics from A to z-score. Young statisticians watch an informative video that explains how to compare different normally distributed quantities using z-scores and percentiles. An example using ACT and SAT scores...

You can bet on Bayes. Continuing from the previous video, scholars learn about Bayesian statistics and hypothesis testing. The 25th installment of the Crash Course Statistics series applies these concepts to continuous data and to...

If you have two feet, you have more than the average number of feet! Explore the meaning of the numbers of measures of central tendency of different data sets with the third of five lessons in a video statistics playlist. Using unique...

How many ways can you visualize data? An informative video showcases data representations, with specific attention to stem-and-leaf plots and box plots. Viewers also learn to identify and interpret outliers in data.

Probability is all about patterns and rules. An instructive video explores the tenets of probability. It starts with basic probability, moves on to compound probability, and explores the addition and multiplication rules for...

Give learners the freedom to learn about hypothesis testing. The 28th installment of the Crash Course Statistics series focuses on degrees of freedom and effect size. It looks at how these concepts relate to t-tests and t-distributions.

Sometimes the measures of center don't give us enough information. The spread of the data can tell statisticians much more about the data set. A video lesson, part of a statistics video series, describes different measures of spread such...

It's your birthday! But, maybe other people's, too. An illuminating video describes how to apply geometric probability distributions in real-world situations. It then reveals how probability helps explain the birthday paradox.

Keep your knowledge of distributions in shape. An informative YouTube video describes how to analyze data using the shape of the data distribution. The seventh installment of the Crash Course Statistics series looks at normal...

How many of you found the video to be useful? Young statisticians learn about surveys in the 10th installment of the Crash Course Statistics playlist. An informative video describes different sampling methods and possible sources of bias.

A statistic of interest is often affected by multiple variables. Continuing from the previous lesson in the Crash Course Statistics playlist, the instructor explains how to apply the ANOVA calculations to multiple variables that have an...

How do you account for multiple variables when analyzing data? Following a lesson on regression, the 33rd lesson in the Crash Course Statistics series examines the ANOVA, analysis of variances, method of determining differences...

There's likely a strong correlation between watching the video and learning about causation. Scholars hear about different types of correlation and correlation coefficients through the informative YouTube video. They also see how...

There is growing evidence that suggests the results of many studies are not reproducible. The 31st lesson of the Crash Course Statistics playlist discusses possible causes of the problem and identifies solutions since producibility is...

Let the machines do what they do best. The 37th installment of the Crash Course Statistics series focuses on unsupervised machine learning. It describes two methods, k-means and hierarchical clustering, and provides examples for each.

It's normal to want to learn about normal distribution. The 19th installment of the Crash Course Statistics series focuses on how means of sample distributions show a normal distribution. It looks at the Central Limit Theorem and also...

Pair a video with your lesson on t-tests. Viewers of an informative YouTube video, the 27th part of the Crash Course Statistics series, study two sample t-tests and paired t-tests. They see which test would be appropriate for a situation...