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What must be known to find the mean and standard deviation of a binomial distribution?

$\mathrm{n}$ and $\mathrm{p}$

Calculus 3

Chapter 9

Statistics

Section 4

Normal Approximation to the Binomial Distribution

Multivariable Optimization

Oregon State University

Harvey Mudd College

University of Michigan - Ann Arbor

University of Nottingham

Lectures

03:20

In mathematics, optimization is the process of finding the best element of a set of choices. The best element is often defined as the element that has the largest value of some property. The set of choices is usually referred to as the domain of the optimization problem. The most general problem is to find the element which maximizes a given function. The set of choices is called the domain of the function.

29:31

In mathematics, the gradient of a function is a vector field that describes the direction and magnitude of the greatest rate of change of the function. The gradient of a function of two or more variables is a vector field in the Cartesian plane whose components are the partial derivatives of the function of multiple variables with respect to each of the variables. The gradient is often denoted by a small letter, such as "d" (or "?") for a scalar function, partial derivative, or gradient vector, or "D" for a matrix of partial derivatives, or tensor gradient.

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in this question, we were asked to identify what is needed in order in order to figure out the mean and standard deviation of a binomial distribution. I've already written the formulas on here, and as you can see, we need to know both and on P. And it represents the number of trials on P represents the probability of success of a single trial.

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