7. Sampling Distributions & Confidence Intervals: Mean
Introduction to Confidence Intervals
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Find for a 90% confidence interval.
A
B
C
D
Verified step by step guidance1
Understand that the confidence level of a confidence interval is the probability that the interval contains the true parameter value. For a 90% confidence interval, this means we are 90% confident that the interval contains the true parameter.
The confidence level is denoted by (1 - α), where α is the significance level. Therefore, for a 90% confidence interval, we have 1 - α = 0.90.
To find α, rearrange the equation: α = 1 - confidence level. Substitute the confidence level with 0.90.
Calculate α by subtracting the confidence level from 1: α = 1 - 0.90.
Interpret the result: α represents the probability of the interval not containing the true parameter value, which is the complement of the confidence level.
6:33mWatch next
Master Introduction to Confidence Intervals with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice
