Fx Copy
LaTeX Copy
Standard Deviation in Normal Distribution is the square root of expectation of the squared deviation of the given normal distribution following data from its population mean or sample mean. Check FAQs
σ=p(1-p)n
σ - Standard Deviation in Normal Distribution?p - Probability of Success?n - Sample Size?

Standard Deviation in Sampling Distribution of Proportion Example

With values
With units
Only example

Here is how the Standard Deviation in Sampling Distribution of Proportion equation looks like with Values.

Here is how the Standard Deviation in Sampling Distribution of Proportion equation looks like with Units.

Here is how the Standard Deviation in Sampling Distribution of Proportion equation looks like.

0.0608Edit=0.6Edit(1-0.6Edit)65Edit
You are here -
HomeIcon Home » Category Math » Category Probability and Disribution » Category Distribution » fx Standard Deviation in Sampling Distribution of Proportion

Standard Deviation in Sampling Distribution of Proportion Solution

Follow our step by step solution on how to calculate Standard Deviation in Sampling Distribution of Proportion?

FIRST Step Consider the formula
σ=p(1-p)n
Next Step Substitute values of Variables
σ=0.6(1-0.6)65
Next Step Prepare to Evaluate
σ=0.6(1-0.6)65
Next Step Evaluate
σ=0.06076436202502
LAST Step Rounding Answer
σ=0.0608

Standard Deviation in Sampling Distribution of Proportion Formula Elements

Variables
Functions
Standard Deviation in Normal Distribution
Standard Deviation in Normal Distribution is the square root of expectation of the squared deviation of the given normal distribution following data from its population mean or sample mean.
Symbol: σ
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
Probability of Success
Probability of Success is the probability of a specific outcome occurring in a single trial of a fixed number of independent Bernoulli trials.
Symbol: p
Measurement: NAUnit: Unitless
Note: Value should be between 0 to 1.
Sample Size
Sample Size is the total number of individuals present in a particular sample drawn from the given population under investigation.
Symbol: n
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
sqrt
A square root function is a function that takes a non-negative number as an input and returns the square root of the given input number.
Syntax: sqrt(Number)

Other Formulas to find Standard Deviation in Normal Distribution

​Go Standard Deviation in Sampling Distribution of Proportion given Probabilities of Success and Failure
σ=pqBDn
​Go Standard Deviation of Population in Sampling Distribution of Proportion
σ=(Σx2N)-((ΣxN)2)

Other formulas in Sampling Distribution category

​Go Variance in Sampling Distribution of Proportion
σ2=p(1-p)n
​Go Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure
σ2=pqBDn

How to Evaluate Standard Deviation in Sampling Distribution of Proportion?

Standard Deviation in Sampling Distribution of Proportion evaluator uses Standard Deviation in Normal Distribution = sqrt((Probability of Success*(1-Probability of Success))/Sample Size) to evaluate the Standard Deviation in Normal Distribution, Standard Deviation in Sampling Distribution of Proportion formula is defined as the square root of expectation of the squared deviation of the random variable that follows sampling distribution of proportion, from its mean. Standard Deviation in Normal Distribution is denoted by σ symbol.

How to evaluate Standard Deviation in Sampling Distribution of Proportion using this online evaluator? To use this online evaluator for Standard Deviation in Sampling Distribution of Proportion, enter Probability of Success (p) & Sample Size (n) and hit the calculate button.

FAQs on Standard Deviation in Sampling Distribution of Proportion

What is the formula to find Standard Deviation in Sampling Distribution of Proportion?
The formula of Standard Deviation in Sampling Distribution of Proportion is expressed as Standard Deviation in Normal Distribution = sqrt((Probability of Success*(1-Probability of Success))/Sample Size). Here is an example- 0.060764 = sqrt((0.6*(1-0.6))/65).
How to calculate Standard Deviation in Sampling Distribution of Proportion?
With Probability of Success (p) & Sample Size (n) we can find Standard Deviation in Sampling Distribution of Proportion using the formula - Standard Deviation in Normal Distribution = sqrt((Probability of Success*(1-Probability of Success))/Sample Size). This formula also uses Square Root (sqrt) function(s).
What are the other ways to Calculate Standard Deviation in Normal Distribution?
Here are the different ways to Calculate Standard Deviation in Normal Distribution-
  • Standard Deviation in Normal Distribution=sqrt((Probability of Success*Probability of Failure in Binomial Distribution)/Sample Size)OpenImg
  • Standard Deviation in Normal Distribution=sqrt((Sum of Squares of Individual Values/Population Size)-((Sum of Individual Values/Population Size)^2))OpenImg
Copied!