Asked by Aliyah Grant on Apr 27, 2024
Verified
If a researcher chooses a confidence level less than the 95%, which of the following occurs?
A) a smaller confidence interval that contains the population mean
B) a larger confidence interval that contain the population mean
C) a loss of precision in estimating the sample mean
D) a loss of precision in estimating the population mean
Confidence Level
The probability that a parameter will fall between two values for a specified proportion of times.
Confidence Interval
A range of values, derived from sample statistics, that is likely to contain the true population parameter with a specified level of confidence.
Precision
The consistency of outcomes given by multiple measurements in the same conditions without any variation.
- Acknowledge the linkage between confidence degrees and interval expanses.
- Understand the effect of altering confidence levels on the accuracy of confidence intervals.
Verified Answer
JT
Jayden ThorpeApr 27, 2024
Final Answer :
A
Explanation :
Choosing a confidence level less than 95% results in a smaller confidence interval, as it reflects less certainty about where the population mean lies, thus narrowing the range of values.
Learning Objectives
- Acknowledge the linkage between confidence degrees and interval expanses.
- Understand the effect of altering confidence levels on the accuracy of confidence intervals.