We can expect some difference between sample statistics and the corresponding population parameters. This difference is called the sampling error.
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Q9: Based on the central limit theorem,the sample
Q10: Sampling a population is often necessary because
Q11: The items or individuals of the population
Q12: In the sampling distribution of the sample
Q13: In cluster sampling,a population is divided into
Q15: The standard error of the mean is
Q16: For the sampling distribution of sample means,standard
Q17: The central limit theorem states that for
Q18: A sampling distribution of the means is
Q19: The central limit theorem states that if
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