Respuesta :
Answer:
A) Proportion.
Step-by-step explanation:
The distribution of sample proportions leads or may tends to approximate a normal distribution and is an unbiased estimator that has a graph that is usually distributed and is not skewed. In other words, simply, we can also say that the population proportion is basically defined to be as the mean of the sample proportion. The population proportion is basically equaled the expected value of the sample proportion.
GACA
Answer: 1. B) Normal distribution
2. D) Variance, mean, proportion
3. D) normal distribution
4. D) normal distribution
5. A) proportion
6. A) median
7. C) this is just one sample. The sampling distribution of the mean requires repeating this process with the same sample several times
8. A) not a normal distribution
9. B) mean, variance, proportion
10. A) the sampling distribution of the variance requires repeating this process with the same sample several times. So this does not compare to the sampling distribution of the variance
Step-by-step explanation: 100% :)