## What is the difference between normal CDF and binomial CDF?

Explanation: The main difference between normal distribution and binomial distribution is that while binomial distribution is discrete. In other words, there are a finite amount of events in a binomial distribution, but an infinite number in a normal distribution.

## How do I know if CDF or PDF?

The probability density function (PDF) describes the likelihood of possible values of fill weight. The CDF provides the cumulative probability for each x-value. The CDF for fill weights at any specific point is equal to the shaded area under the PDF curve to the left of that point.

**What is the difference between normal PDF and normal CDF?**

Normalpdf finds the probability of getting a value at a single point on a normal curve given any mean and standard deviation. Normalcdf just finds the probability of getting a value in a range of values on a normal curve given any mean and standard deviation.

**What is the PDF of an exponential distribution?**

A PDF is the derivative of the CDF. Since we already have the CDF, 1 – P(T > t), of exponential, we can get its PDF by differentiating it. The probability density function is the derivative of the cumulative density function.

### What is the PDF of a Poisson distribution?

The Poisson probability density function lets you obtain the probability of an event occurring within a given time or space interval exactly x times if on average the event occurs λ times within that interval. f ( x | λ ) = λ x x ! e − λ ; x = 0 , 1 , 2 , … , ∞ .

### Where is binomial PDF on TI 84?

binomialpdf

- Step 1: Go to the distributions menu on the calculator and select binompdf. To get to this menu, press: followed by.
- Step 2: Enter the required data. In this problem, there are 9 people selected (n = number of trials = 9). The probability of success is 0.62 and we are finding P(X = 4).