Statistical inference for binomial data addresses the analysis of outcomes that can take one of two values, typically termed “success” or “failure”. Central to this domain is the estimation of the ...

• Apply E(X) = np and Var(X) = np(1 − p) • Interpret results in real-world and IB-style contexts The lesson includes step-by-step examples involving free throws, product reliability, and defect rates.

The binomial distribution is an important discrete distribution. It gives the probability of the number of "successes," in a sequence of n independent binary trials. This applet allows users to drag ...

Through the PowerPoint there are links to Youtube videos, GeoGebra and Desmos interactives. The PowerPoint has worked examples, and student exercises. I have also put in past paper exam questions for ...