The difference between the sample size and the population size is called the sampling error.
举一反三
- The difference between the sample mean and the population mean is called the sampling error.
- The difference between the sample mean and the population mean is called the: A: population deviation. B: population standard deviation. C: standard error of the mean. D: sampling error.
- Which of the following statements about sampling is appropriate? A: Sampling risk could be reduced to zero by enlarging the sample size B: Sampling risk could be quantified in a statistical sampling C: Non-sampling risk could be reduced to zero by enlarging the sample size D: Non-sampling risk doesn’t exist during tests of controls
- When the size of the sample is between 0.1-10mg, the analysis is called: A: major analysis B: minor analysis C: trace analysis D: self-minor analysis
- A point estimator will be unbiased if the A: expected value of the point estimator equals the value of the population parameter B: sample size is greater than 30 or np ³ 5 and n(1-p) ³ 5 C: sampling distribution is normally distributed D: value of the population parameter is known