Asked by Thaiyanis Betancourt on Jul 31, 2024
Verified
Which of the following is a measure of the reliability of a statistical inference?
A) A population parameter.
B) A significance level.
C) A descriptive statistic.
D) A sample statistic.
Statistical Inference
The process of making predictions or decisions about a population based on sample data.
Reliability
The degree to which an assessment tool produces stable and consistent results.
Significance Level
The threshold of probability below which a null hypothesis is rejected in statistical tests, representing the risk of a Type I error.
- Acknowledge the measures of dependability in statistical inference, such as significance and confidence intervals.
Verified Answer
YH
Yodany HamiltonAug 02, 2024
Final Answer :
B
Explanation :
A significance level (often denoted as alpha or α) is a measure used in hypothesis testing to determine the threshold at which the null hypothesis is rejected, thus it directly relates to the reliability of a statistical inference. It essentially indicates how strong the evidence must be before we can conclude that an effect is statistically significant and not just due to random chance.
Learning Objectives
- Acknowledge the measures of dependability in statistical inference, such as significance and confidence intervals.
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