
Module 9 Practice Questions (3)
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Mathematics
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University
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Practice Problem
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Hard
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1.
FLASHCARD QUESTION
Front
What is a sample proportion (p̂)?
Back
The sample proportion (p̂) is the ratio of the number of successes in a sample to the total number of observations in that sample, used as an estimator for the population proportion (p).
2.
FLASHCARD QUESTION
Front
What does it mean for a sample proportion to be an unbiased estimator?
Back
A sample proportion is considered an unbiased estimator if the expected value of the sample proportion equals the true population proportion, meaning it does not systematically overestimate or underestimate the population parameter.
3.
FLASHCARD QUESTION
Front
How does sample size affect the sample proportion?
Back
As the sample size increases, the sample proportion is expected to be closer to the population proportion, reducing variability and increasing accuracy.
4.
FLASHCARD QUESTION
Front
What is a confidence interval?
Back
A confidence interval is a range of values, derived from a sample, that is likely to contain the population parameter with a specified level of confidence (e.g., 95%).
5.
FLASHCARD QUESTION
Front
What is the significance of a normal distribution in estimating population parameters?
Back
A normal distribution allows for the application of statistical methods, such as confidence intervals and hypothesis testing, as many statistical techniques assume normality in the data.
6.
FLASHCARD QUESTION
Front
What is the formula for calculating a confidence interval for a population mean (μ)?
Back
The confidence interval for a population mean is calculated as: CI = x̄ ± z*(σ/√n), where x̄ is the sample mean, z is the z-score corresponding to the desired confidence level, σ is the population standard deviation, and n is the sample size.
7.
FLASHCARD QUESTION
Front
What does a margin of error represent in polling?
Back
The margin of error indicates the range within which the true population parameter is expected to fall, given a certain level of confidence, reflecting the uncertainty in the estimate.
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