Asked by Courtney Mendez on May 12, 2024
Verified
If a researcher chooses the 99% confidence interval instead of the 95% confidence interval, how does it affect the critical value of t?
A) Critical value of t is lower.
B) Critical value of t is higher.
C) Critical value of t is unchanged.
D) Critical value of t is not dependent on the confidence interval chosen.
Confidence Interval
A range of values, derived from sample data, that is likely to contain the value of an unknown population parameter with a certain level of confidence.
Critical Value
A mark on the test statistic's scale that, when surpassed, results in the null hypothesis being rejected.
- Implement the formula for determining the 99% confidence interval.
- Recognize the link between confidence levels and the precision in determining confidence intervals.
Verified Answer
RN
Robbin NicoleMay 18, 2024
Final Answer :
B
Explanation :
The critical value of t increases as the confidence level increases. Therefore, choosing the 99% confidence interval instead of the 95% confidence interval would result in a higher critical value of t.
Learning Objectives
- Implement the formula for determining the 99% confidence interval.
- Recognize the link between confidence levels and the precision in determining confidence intervals.
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