What is the impact of a large sample size on the confidence interval of the mean?
- Larger sample size has no impact on the confidence interval
- Larger sample size leads to a narrower interval
- Larger sample size leads to a wider interval
- Larger sample size makes the interval skewed
Larger sample sizes lead to narrower confidence intervals. With more data, we're able to estimate the population parameter more precisely, thus the range of values within which we believe the parameter lies (the confidence interval) gets smaller.
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