Let Prove that if f is one-to-one, thenfor all Is the converse true? Explain.

Chapter 6: Continuous Probability Distribution Section 6.1-Probability Distribution for a Continuous Random Variable ~2 Types of Variable~ •Discrete Possible values – a finite set or a countably infinite set Ex] counting and “the number of …” Probability distribution – specified by giving a … Ex] table and/or Probability Mass Function Important Example- Binomial Distribution •Continuous Possible values – an infinite set that forms an interval on the number line Ex] measuring (ex: heights, weights, volumes, times, …) Probability distribution – specified by giving a probability density function Important example – Normal distribution ~Probability Density Function~ – a curve that … • is o