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07 Confidence Intervals Free Online FlashCards

Study 07 Confidence Intervals with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What is a confidence interval?

Back

A confidence interval is a range of plausible values for an unknown population parameter, combining a point estimate with sampling uncertainty.

02
Front

What estimates the population mean?

Back

The sample mean xˉ\bar{x} is the point estimate for the population mean μ\mu.

03
Front

What does a 95% confidence level mean?

Back

A 95% confidence procedure produces intervals containing the true parameter in approximately 95% of repeated samples using the same method.

04
Front

How does higher confidence affect interval width?

Back

Increasing the confidence level increases the critical value and makes the interval wider when sample size and variability remain unchanged.

05
Front

How is the margin of error calculated?

Back

The margin of error is the critical value multiplied by the standard error: ME=critical value×SE\text{ME}=\text{critical value}\times\text{SE}.

06
Front

What is the mean CI formula when σ\sigma is known?

Back

When σ\sigma is known, use xˉ±z∗σn\bar{x}\pm z^*\frac{\sigma}{\sqrt{n}}.

07
Front

What is the mean CI formula when σ\sigma is unknown?

Back

When σ\sigma is unknown, use xˉ±t∗sn\bar{x}\pm t^*\frac{s}{\sqrt{n}} with df=n−1df=n-1.

08
Front

Why use the tt-distribution when σ\sigma is unknown?

Back

The tt-distribution has heavier tails than the standard normal because estimating σ\sigma adds uncertainty.

09
Front

How is a sample proportion calculated?

Back

The sample proportion is p^=x/n\hat{p}=x/n, where xx is the number of successes and nn is the sample size.

10
Front

What is the normal CI formula for a proportion?

Back

The normal-approximation interval is p^±z∗p^(1−p^)n\hat{p}\pm z^*\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}.

11
Front

How is sample size planned for a mean?

Back

Use n=(z∗σE)2n=\left(\frac{z^*\sigma}{E}\right)^2, then round up to the next whole observation.

12
Front

What value of p∗p^* is conservative without prior information?

Back

If no prior estimate is available, set p∗=0.50p^*=0.50; it maximizes p∗(1−p∗)p^*(1-p^*) and therefore gives the largest required sample size.