Correct Answer: Correct answer is: (D) Sampling Error.
Exam Relevance: AP Statistics, GRE Quantitative, GMAT Quantitative
Difficulty: Easy
Concept notes: Measures of dispersion are statistical tools used to quantify the spread or variability of a dataset. Common measures include range, quartile deviation, and standard deviation. Sampling error, however, is not a measure of dispersion but rather a measure of the variability of a statistic from sample to sample.
Common Mistakes: Students may confuse sampling error with measures of dispersion because both involve variability. However, sampling error specifically refers to the difference between a sample statistic and the population parameter it estimates.
Explanations: Sampling error is not a measure of dispersion. Measures of dispersion, such as range, quartile deviation, and standard deviation, quantify the spread of data points within a single dataset. Sampling error, on the other hand, refers to the variability of a statistic across different samples from the same population. It is not a measure of how data points are spread within a single dataset.
Option Analysis: - Option A: Quartile Deviation is a measure of dispersion that uses the interquartile range.
- Option B: Range is a measure of dispersion that is the difference between the maximum and minimum values in a dataset.
- Option C: Standard Deviation is a measure of dispersion that quantifies the average deviation of data points from the mean.
- Option D: Sampling Error is not a measure of dispersion but rather a measure of the variability of a statistic from sample to sample.
Ques 51 explanation is not related to the question…
Very useful question but plz give explanation with correct answer