## What is the Sampling Distribution Formula?

A sampling distribution can be defined as the probability-based distribution of particular statistics and its formula helps in calculation of means, Range, standard deviation and variance for the undertaken sample. S

**For a sample size of more than 30, sampling distribution formula is given below –**

**µ͞x =µ and σ**

_{͞x}=σ / √nHere,

- The mean of the sample and population are represented by µ͞x and µ.
- The standard deviation of the sample and population is represented as σ
_{͞x}and σ. - The sample size of more than 30 represents as n.

### Explanation

The formula for Sampling Distribution can be calculated by using the following steps:

**Step 1:** Firstly, find the count of the sample having a similar size of n from the bigger population of having the value of N.

**Step 2:** Next, segregate the samples in the form of a list and determine the mean of each sample.

**Step 3: **Next, prepare the frequency distribution of the sample mean as determined in step 2.

**Step 4: **Next, determine the probability distribution of the determined sample means after determining the frequency distribution in step 3.

### Examples of Sampling Distribution Formula (with Excel Template)

Let’s see some simple to advanced practical examples of the sampling distribution equation to understand it better.

#### Example #1

** Let us take the example of the female population. The size of the sample is at 100 with a mean weight of 65 kgs and a standard deviation of 20 kg. Help the researcher determine the mean and standard deviation of the sample size of 100 females.**

**Solution**

Use below given data for the calculation of sampling distribution

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The mean of the sample is equivalent to the mean of the population since the sample size is more than 30.

Calculation of standard deviation of the sample size is as follows,

- =20/√100

Standard Deviation of Sample Size will be –

**σ**_{͞x}=2

Therefore, the standard deviation of the sample is 2 and the mean of the sample is at 65 kg.

#### Example #2

**Let us take the example of taxes paid by the vehicles. In the state of California, the average tax paid is $12,225 having a standard deviation of $5,000. Such observations were made on the sample size of 400 trucks and trailers combined. Help the transport department to determine the mean and standard deviation of the sample.**

**Solution**

Use below given data for the calculation of sampling distribution

Calculation of standard deviation of the sample size is as follows,

- = $5,000 / √400

Standard Deviation of Sample Size will be –

**σ**_{͞x}=$250

Therefore, the standard deviation of the sample as assessed by the department of transport is $250 and the mean of the sample is $12,225.

#### Example #3

**Let us take the example of the following data is displayed below:**

Help the researcher determine the mean and standard deviation of the sample.

Determine the mean of the sample as displayed below: –

- =20*0.67

Mean will be –

**=13.33**

**Total Mean**

- =13.33+7+10
**Total Mean =30.33**

Determine the variance of the sample as displayed below: –

- =20^2*0.67
- =266.66667

**Variance **

**Total Variance**

**= 713.67**

Calculation of standard deviation of the sample size is as follows,

- σ
_{͞x}= √ 713.67 – 30.33

Standard Deviation will be –

**σ**_{͞x}= 26.141

Therefore, the standard deviation of the sample as assessed by the researcher is 26.141 and the mean of the sample is at 30.33.

### Relevance and Use

The sampling distribution is utilized by many entities for the purpose of research. It could be analysts, researchers, and statisticians. Whenever population size is large, such methodology helps in formulations of the smaller sample which could then be utilized to determine average means and standard deviations. The average means can be plotted on the graph to arrive at the uniform distribution relating to the population and if the researcher increases the sample size, the probability of graph reaching normal distribution enhances.

It helps in major simplification of the inferences taken up in statistics. It further helps in deducing analytical contemplation by determining the frequency of the probability distribution of sample means. The sampling distribution forms base for several statistical concepts that may be used by the researchers to facilitate their hypothesis.

### Recommended Articles

This has been a guide to Sampling Distribution Formula. Here we discuss how to calculate sampling distribution of standard deviation along with practical examples and downloadable excel sheet. You can learn more from the following articles –

- What is Conditional Probability?
- Poisson Distribution in Excel
- Log Normal Distribution Definition
- Exponential Distribution

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