Confidence Interval introduction

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Mathematics
•
12th Grade
•
Hard
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1.
FLASHCARD QUESTION
Front
What is a confidence interval?
Back
A confidence interval is a range of values, derived from a data set, that is likely to contain the true value of an unknown population parameter, with a specified level of confidence.
2.
FLASHCARD QUESTION
Front
What does a 90% confidence interval mean?
Back
A 90% confidence interval means that if we were to take many samples and construct a confidence interval from each sample, approximately 90% of those intervals would contain the true population parameter.
3.
FLASHCARD QUESTION
Front
How is the margin of error calculated?
Back
The margin of error is calculated as half the width of the confidence interval. It represents the maximum expected difference between the true population parameter and a sample estimate.
4.
FLASHCARD QUESTION
Front
What is the interpretation of a confidence interval?
Back
The interpretation of a confidence interval is that we are confident (e.g., 90%, 95%) that the interval contains the true population parameter.
5.
FLASHCARD QUESTION
Front
What is the formula for calculating a confidence interval for a mean?
Back
The formula is: CI = sample mean ± (critical value) * (standard deviation / √n), where n is the sample size.
6.
FLASHCARD QUESTION
Front
What does it mean if a confidence interval is wide?
Back
A wide confidence interval indicates a high level of uncertainty about the estimate of the population parameter, often due to a small sample size or high variability in the data.
7.
FLASHCARD QUESTION
Front
What does it mean if a confidence interval is narrow?
Back
A narrow confidence interval indicates a high level of precision in estimating the population parameter, often due to a large sample size or low variability in the data.
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