Confidence Intervals for Proportions

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•
Mathematics
•
9th - 12th Grade
•
Hard
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Standards-aligned
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15 questions
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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.
Tags
CCSS.HSS.IC.B.4
2.
FLASHCARD QUESTION
Front
What does the term 'proportion' refer to in statistics?
Back
In statistics, a proportion is a type of ratio that compares a part to the whole, often expressed as a fraction, decimal, or percentage.
Tags
CCSS.7.SP.A.1
CCSS.HSS.IC.A.1
3.
FLASHCARD QUESTION
Front
How do you calculate the sample proportion (p̂)?
Back
The sample proportion (p̂) is calculated by dividing the number of successes (e.g., individuals with a certain characteristic) by the total number of observations in the sample.
Tags
CCSS.HSS.IC.B.4
4.
FLASHCARD QUESTION
Front
What is the formula for a confidence interval for a proportion?
Back
The formula for a confidence interval for a proportion is: p̂ ± Z * √(p̂(1-p̂)/n), where p̂ is the sample proportion, Z is the Z-score corresponding to the desired confidence level, and n is the sample size.
Tags
CCSS.HSS.IC.B.4
5.
FLASHCARD QUESTION
Front
What is the Z-score for a 99% confidence level?
Back
The Z-score for a 99% confidence level is approximately 2.576.
Tags
CCSS.HSS.ID.A.4
6.
FLASHCARD QUESTION
Front
What is the Z-score for a 90% confidence level?
Back
The Z-score for a 90% confidence level is approximately 1.645.
Tags
CCSS.HSS.ID.A.4
7.
FLASHCARD QUESTION
Front
What does a 95% confidence interval imply?
Back
A 95% confidence interval implies that if we were to take many samples and build a confidence interval from each sample, approximately 95% of those intervals would contain the true population parameter.
Tags
CCSS.HSS.IC.B.4
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