Asked by James Logan on Apr 25, 2024
Verified
A smaller difference between the sample statistic and the population parameter means that you will have ______ sampling error.
A) higher
B) lower
C) no
D) infinite
Sampling Error
The error that arises from estimating a population parameter based on a sample rather than the entire population.
Sample Statistic
A numerical measure calculated from a sample of data, used to estimate a population parameter.
Population Parameter
A numerical value that represents a characteristic of a population.
- Understand the concept of sampling error and its implications for research accuracy.
Verified Answer
SG
Swapnil Gawade5 days ago
Final Answer :
B
Explanation :
When the sample statistic (e.g. mean or proportion) is close to the population parameter, it suggests that the sample is representative of the entire population. This means that the sample is less likely to suffer from sampling error, which refers to the discrepancy between the sample statistic and the population parameter. Therefore, a smaller difference between the sample statistic and the population parameter means that you will have lower sampling error.
Learning Objectives
- Understand the concept of sampling error and its implications for research accuracy.
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