Asked by Joshua Williams on Jun 02, 2024

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What is the likelihood of misleading results in a small sample,compared to the likelihood of misleading results in a large sample

A)  less in a small sample 
B)  likelihood is unaffected by sample size 
C)  greater in a small sample 
D)  same in both types of sample

Small Sample

A subgroup of a population selected for observation and analysis where the size of the group is considered statistically insufficient for conclusive results.

Misleading Results

Outcomes of experiments or studies that do not accurately reflect the true situation, often due to errors in design, methodology, or interpretation.

Sample Size

The number of observations or data points collected from a population for the purpose of statistical analysis.

  • Discern the impact of probability and risk evaluation in the process of determining choices.
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MN
Michael NaderJun 04, 2024
Final Answer :
C
Explanation :
Misleading results are more likely in a small sample because small samples are less representative of the population and have a higher probability of random sampling error. In contrast, large samples tend to be more representative of the population and are less likely to produce random sampling error.