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Sampling Error Calculator
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The sampling error is the statistical error that occurs due to the nature of sampling. It is  generally caused when only the sample data is measured instead of considering whole population.Suppose we are measuring the weight of every individual in a group of 100. Here the average weight in this sample group differs a lot from the weight of the whole city population. Thus the sampling error formula is given by
Sampling error = $\pm$ $\sqrt{\frac{2500}{Sample \ Size}}$ $\times$ 1.96
The sampling error Calculator is a online tool to calculate the statistical error. You just have to enter the sample size in the block and get the maximum sample size error instantly.
 

Steps for Sampling Error Calculator

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Step 1 :  

Read the problem and observe the sample size



Step 2 :  

To calculate the sampling error use the formula


Sampling error = $\pm$ $\sqrt{\frac{2500}{Sample \ Size}}$ $\times$ 1.96


Substitute the values in the above formula and get the answer.



Problems on Sampling Error Calculator

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  1. Calculate the sampling error if the average height among the given sample of 100 people is 5 feet. 


    Step 1 :  

    Given: sample size = 100



    Step 2 :  

    Sampling error = $\pm$ $\sqrt{\frac{2500}{Sample \ Size}}$ $\times$ 1.96


                         = $\pm$ $\sqrt{\frac{2500}{100}}$ $\times$ 1.96


                         = $\pm$ 9.8



    Answer  :  

    Sampling error = 9.8



  2. What is the sampling error if the average marks scored among 80 people in the class is 65 ? 


    Step 1 :  

    Sample size = 80 marks



    Step 2 :  

    Sampling error = $\pm$ $\sqrt{\frac{2500}{Sample \ Size}}$ $\times$ 1.96


                         = $\pm$ $\sqrt{\frac{2500}{80}}$ $\times$ 1.96


                         = $\pm$ 10.956



    Answer  :  

    Sampling error = 10.956.



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