Covers the variance for a normally distributed random variable.
This video gives more detail about the mathematical principles presented in Variance of Normally Distributed Data.
This video shows how to work step-by-step through one or more of the examples in Variance of Normally Distributed Data.
Examines the statistical concept of standard deviation, which is used to characterize the spread of a distribution. The video also differentiates between sample standard deviations and population standard deviations and introduces the formulas.
A list of student-submitted discussion questions for Variance of a Data Set.
To organize ideas, increase comprehension, synthesize learning, demonstrate understanding of key concepts, and reinforce vocabulary using a Quickwrite.
To reinforce and increase concept comprehension, and to analyze similarities and differences between topics using a Two Column Table.
Students will analyze professional athletes' salaries using variance and standard deviation.
This study guide looks at levels of measurement and the shape, measures of center (median, mean, mode), and measures of spread (standard deviation) of a data set. It also compares the measures for population vs the measures for sample.
covers variance, standard deviation, and coefficient of variation
covers normal, binomial, multinomial, geometric, poisson, and student's t distributions
covers an intro to data and measurement, levels of measurement, and descriptive statistics
These flashcards help you study important terms and vocabulary from Spread of a Normal Distribution, Variance of Normally Distributed Data, and Empirical Rule.