FormulaDen.com

Physics Chemistry Math Chemical Engineering Civil Electrical Electronics Electronics and Instrumentation Materials Science Mechanical Production Engineering Financial Health

Variance in Sampling Distribution of Proportion Formula

GoVariance in Sampling Distribution of Proportion given Probabilities of Success and Failure Formula

Fx Copy

LaTeX Copy

Variance of Data is the expectation of the squared deviation of the random variable associated with the given statistical data from its population mean or sample mean. Check FAQs

σ 2 = \frac{p \cdot (1 - p)}{n}

σ² - Variance of Data?p - Probability of Success?n - Sample Size?

Variance in Sampling Distribution of Proportion Example

With values

With units

Only example

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

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

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

0.0037 = \frac{0.6 \cdot (1 - 0.6)}{65}

0.0037 = \frac{0.6 \cdot (1 - 0.6)}{65}

0.0037 = \frac{0.6 \cdot (1 - 0.6)}{65}

Tip: Use pencil ( Pencil

) icon above to edit Input Values and Units.

Calculate

Recalculate

Solution

Copy

Reset

You are here -

Home » Category

Math » Category

Probability and Disribution » Category

Distribution » fx Variance in Sampling Distribution of Proportion

Variance in Sampling Distribution of Proportion Solution

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

FIRST Step Consider the formula

σ 2 = \frac{p \cdot (1 - p)}{n}

Next Step Substitute values of Variables

∴

σ 2 = \frac{0.6 \cdot (1 - 0.6)}{65}

Next Step Prepare to Evaluate

∴

σ 2 = \frac{0.6 \cdot (1 - 0.6)}{65}

Next Step Evaluate

∴

σ 2 = 0.00369230769230769

LAST Step Rounding Answer

∴

σ 2 = 0.0037

Variance in Sampling Distribution of Proportion Formula Elements

Variables

Variance of Data

Variance of Data is the expectation of the squared deviation of the random variable associated with the given statistical data from its population mean or sample mean.

Symbol: σ²

Measurement: NAUnit: Unitless

Note: Value should be greater than 0.

Formulas to find Variance of Data

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.

Formulas to find Probability of Success

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.

Formulas to find Sample Size

Other Formulas to find Variance of Data

Go Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure

σ 2 = \frac{p \cdot q BD}{n}

Other formulas in Sampling Distribution category

Go Standard Deviation in Sampling Distribution of Proportion

σ = \sqrt{\frac{p \cdot (1 - p)}{n}}

Go Standard Deviation in Sampling Distribution of Proportion given Probabilities of Success and Failure

σ = \sqrt{\frac{p \cdot q BD}{n}}

Go Standard Deviation of Population in Sampling Distribution of Proportion

σ = \sqrt{(\frac{Σx 2}{N}) - ({(\frac{Σx}{N})}^{2})}

How to Evaluate Variance in Sampling Distribution of Proportion?

Variance in Sampling Distribution of Proportion evaluator uses Variance of Data = (Probability of Success*(1-Probability of Success))/Sample Size to evaluate the Variance of Data, Variance in Sampling Distribution of Proportion formula is defined as the expectation of the squared deviation of the random variable that follows sampling distribution of proportion, from its mean. Variance of Data is denoted by σ² symbol.

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

FAQs on Variance in Sampling Distribution of Proportion

What is the formula to find Variance in Sampling Distribution of Proportion?

The formula of Variance in Sampling Distribution of Proportion is expressed as Variance of Data = (Probability of Success*(1-Probability of Success))/Sample Size. Here is an example- 0.003692 = (0.6*(1-0.6))/65.

How to calculate Variance in Sampling Distribution of Proportion?

With Probability of Success (p) & Sample Size (n) we can find Variance in Sampling Distribution of Proportion using the formula - Variance of Data = (Probability of Success*(1-Probability of Success))/Sample Size.

What are the other ways to Calculate Variance of Data?

Here are the different ways to Calculate Variance of Data-

Variance of Data=(Probability of Success*Probability of Failure in Binomial Distribution)/Sample Size

Let Others Know

✖

Facebook

Twitter

Copied!

: Value
: Unit

Variance in Sampling Distribution of Proportion Formula

​GoVariance in Sampling Distribution of Proportion given Probabilities of Success and Failure Formula

Variance in Sampling Distribution of Proportion Example

Variance in Sampling Distribution of Proportion Solution

Variance in Sampling Distribution of Proportion Formula Elements

Other Formulas to find Variance of Data

Other formulas in Sampling Distribution category

How to Evaluate Variance in Sampling Distribution of Proportion?

FAQs on Variance in Sampling Distribution of Proportion

Variable Name

GoVariance in Sampling Distribution of Proportion given Probabilities of Success and Failure Formula