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Probability distributions calculator

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Enter a probability distribution table and this calculator will find the mean, standard deviation and variance. The calculator will generate a step by step explanation along with the graphic representation of the data sets and regression line.

solution

You entered the following data:

$$\begin{array}{c|ccccc}X&5000&2000&1000&500&0\\P(X)&0.0228&0.0338&0.0654&0.459&0.419\end{array}$$

The standard deviation of the given distribution is:

$$ \sigma = 811.3555 $$

explanation

In order to find the standard deviation of the given distribution, we will use the following formula:

$$ \sigma = \sqrt{\sum{x^2 \cdot p(x) } - \mu^2}$$

In this example:

$$ \mu = 476.5 $$

(use "Find the Mean" option in this calculator for the step-by-step explanation on how to find mean)

Now we will find the sum:

$$ \begin{aligned}\sum{x^2 \cdot p(x) } &= 5000^2\cdot0.0228+2000^2\cdot0.0338+1000^2\cdot0.0654+500^2\cdot0.459+0^2\cdot0.419 \\\sum{x^2 \cdot p(x) } &= 885350\end{aligned}$$

Putting all together we have:

$$ \sigma = \sqrt{\sum{x^2 \cdot p(x) } - \mu^2} = \sqrt{ 885350 - 476.5^2 } = \sqrt{ 658298 } \approx 811.3555$$

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Script name : probability-distributions-calculator

Form values: 5000,2000,1000,500,0 , 0.0228,.0338,.0654,.459,.419 , dev , expl , g , , , , , Distribution st. dev. X = 5000,2000,..., P(X) = ...

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Probability Distributions Calculator
Mean, Standard deviation and Variance of a distribution
help ↓↓ examples ↓↓
Check this if all possible outcomes are equally likely
Use data grit to input $ X $ and $ P(x) $
Find the Mean (expectation) of a distribution
Find the Standard Deviation of a distribution
Find the Variance of a distribution
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Find approximate solution
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examples
example 1:ex 1:

A company tested a new product and found that the number of errors per 100 products had the following probability distribution:

$$ \begin{array}{c|ccccc} number~of~errors (X) & ~2~ & ~3~ & ~4~ & ~5~ & ~6 \\ P(X) & ~0.02~ & ~0.25~ & ~0.4~ & ~0.3~ & ~0.03 \end{array} $$

Find the mean number of errors per 100 products.

example 2:ex 2:

You flip the coin. What is the expected value if every time you get heads, you lose \$2, and every time you get tails, you gain \$5. The probability distribution is:

$$ \begin{array}{c|ccccc} \text{money gain} & -2 & 5 \\ P(X) & 0.5 & 0.5 \end{array} $$
example 3:ex 3:

The discrete probability distribution of X is given by:

$$ \begin{array}{c|ccccc} X & ~0~ & ~2~ & ~5~ & ~7/3~ & ~5 \\ P(X) & ~0.1~ & ~0.2~ & ~1/3~ & ~1/6~ & ~0.2 \end{array} $$

Find the mean of the distribution.

example 4:ex 4:

When you roll a die, you will be paid \$3 for numbers divisible by 3 and you will lose \$2 for numbers that are not divisible by 3 Find the expected value of money you get.

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