Respuesta :
Sample error is ±2.9872 from the sample mean of 22 inch and standard deviation of 8 inch and sample size of 30 inch.
What is sample error?
An analyst makes a statistical error known as a sampling error when they choose a sample that does not accurately represent the complete population of data. As a result, the sample's findings do not accurately reflect the findings from the total population.
Here,
mean=22 inch
standard deviation=8 inch
sample size=30 inch
degree of freedom=29 inch
The sampling error is calculated by dividing the standard deviation of the population by the square root of the size of the sample, and then multiplying the resultant with the Z-score value, which is based on the confidence interval.
By using this,
sampling error=±2.9872 inch
With a sample mean of 22 inches, a standard deviation of 8 inches, and a sample size of 30 inches, the sample error is 2.9872 inches.
To know more about sample error,
https://brainly.com/question/15375591
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