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National College of Business Administration and Economics LahoreESTIMATION OF POPULATION MEAN OF A SENSITIVE VARIABLE USING AUXILIARY INFORMATION BY NADIA MUST DOCTOR OF PHILOSOPHY IN STATISTICSFEBURERY,
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01
Collect a representative sample from the population.
02
Calculate the sample mean by adding up all the values in the sample and dividing by the sample size.
03
Calculate the sample standard deviation by taking the square root of the sum of the squared differences between each value and the sample mean, divided by the sample size minus one.
04
Use the formula for calculating the margin of error: Margin of Error = (Critical Value) x (Standard Deviation / square root of Sample Size).
05
Calculate the confidence interval by adding and subtracting the margin of error from the sample mean.
06
Interpret the results and report the estimated population mean along with the confidence interval.

Who needs estimation of population mean?

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Researchers conducting studies or experiments.
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Businesses looking to make informed decisions based on data analysis.
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Government agencies planning policies and programs.
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Investors assessing the performance of investments.
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Academic institutions conducting research projects.
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Estimation of population mean is the process of calculating the average value of a population based on a sample.
Researchers, statisticians, and analysts are typically required to file estimation of population mean.
Estimation of population mean is filled out by collecting a sample from the population, calculating the sample mean, and using statistical methods to estimate the population mean.
The purpose of estimation of population mean is to make inferences about the population using sample data.
Information such as the sample mean, sample size, confidence interval, and margin of error must be reported on estimation of population mean.
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