Asked by Melissa Ferreras on Jun 18, 2024
Verified
Inferential statistics tell us that as long as we are prepared to accept a known level of uncertainty in our projections, ______.
A) we do not need huge sample sizes
B) we do need huge sample sizes
C) sample size is irrelevant
D) we can use any sampling method
Inferential Statistics
Statistics that estimate the values for a population from a sample of that population.
Sample Sizes
The number of observations or units chosen from a population for study, crucial for ensuring the statistical reliability of research findings.
- Absorb the foundational elements of inferential statistics, which encompass probability on the normal curve and the impact of sample size adjustments.
Verified Answer
JC
Joaquin CastroJun 23, 2024
Final Answer :
A
Explanation :
Inferential statistics rely on probability and estimation to make projections about a larger population based on a smaller sample. As such, there is always a level of uncertainty associated with these projections, which is typically expressed through confidence intervals or p-values. However, by setting a predetermined level of uncertainty (e.g., a 95% confidence interval), we can use inferential statistics to make reasonably accurate projections even with smaller sample sizes. Therefore, choice A is the best answer.
Learning Objectives
- Absorb the foundational elements of inferential statistics, which encompass probability on the normal curve and the impact of sample size adjustments.
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