Asked by Bryan Flores on May 05, 2024

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Which of the following provides you with a measure of how well your sample approximates the population?

A) generalizability
B) population
C) sampling error
D) hypothesis

Generalizability

The extent to which findings from a study can be applied to larger populations or different contexts.

Sampling Error

The difference between a sample statistic and its corresponding population parameter, arising purely by chance because a sample is only part of the whole.

Sample Approximates

Estimates derived from a sample that are used to infer characteristics of the overall population.

  • Comprehend the idea of selecting a sample and extending observations to the broader population.
  • Recognize the importance of sample representativeness for generalizability.
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KJ
Kyl jane VasquezMay 11, 2024
Final Answer :
C
Explanation :
Sampling error provides a measure of how well your sample approximates the population. It is the difference between the sample statistic and the population parameter. The smaller the sampling error, the more representative the sample is likely to be of the population. Generalizability refers to the extent to which the findings can be generalized to the larger population, and hypothesis is a testable statement about the relationship between two or more variables. Population refers to the entire group of individuals or items that share one or more characteristics of interest.