Travis

Probability and statistics

Unit Summary: Examination of the probability of independent events, conditional probability, and discrete random events. Measures of central tendency, and spread, as well as expected values of distributions, especially of the normal, binomial, and exponential distributions.


 * **Essential Question** ||
 * How can mathematics be used to analyze the real world? ||
 * **Unit Questions** ||
 * How are probability and statistics related and how are they used in the world? ||
 * **Content Questions** ||
 * What are independent events and how do you find the probability of them?
 * **Content Questions** ||
 * What are independent events and how do you find the probability of them?

What is Baye’s Theorem and what is it used for?

What are the different measures of central tendency and spread, and when is it appropriate to use them?

What is the difference between a discrete random variable and a continuous random variable?

How do you organize and interpret a box-and-whisker plot?

What is the expected value of a distribution and how do you calculate it?

For what situations is it appropriate to use a normal, binomial, and exponential distribution? ||



summative assessment:



student facilitaion presentation: