Free Online Flashcard Deck

5 Estimation and Confidence Intervals Free Online FlashCards

Study 5 Estimation and 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 point estimate?

Back

A point estimate is a single value calculated from sample data to estimate an unknown population quantity, such as a mean or proportion.

02
Front

What is the general form of a confidence interval?

Back

A confidence interval is the estimate plus or minus the margin of error: estimate±(critical value)(standard error)\text{estimate} \pm (\text{critical value})(\text{standard error}).

03
Front

How do sample size and confidence level usually affect interval width?

Back

Larger samples usually reduce standard error and narrow intervals; higher confidence levels require larger critical values and widen intervals.

04
Front

What does 95% confidence mean?

Back

A 95% confidence procedure captures the true parameter in about 95% of intervals over repeated samples, assuming the procedure’s conditions hold.

05
Front

Which interval estimates a mean when population standard deviation is unknown?

Back

With unknown population standard deviation, use xˉ±t1−α/2, n−1sn\bar{x} \pm t_{1-\alpha/2,\,n-1}\frac{s}{\sqrt{n}}. The data should be reasonably well behaved, especially for small samples.

06
Front

What replaces the t-based standard error when population standard deviation is known?

Back

When the population standard deviation σ\sigma is known, use the critical value z1−α/2z_{1-\alpha/2} and standard error σn\frac{\sigma}{\sqrt{n}}.

07
Front

How is a sample proportion calculated?

Back

For xx successes in nn observations, the sample proportion is p^=xn\hat p=\frac{x}{n}. A common large-sample interval uses standard error p^(1−p^)n\sqrt{\frac{\hat p(1-\hat p)}{n}}.

08
Front

When may a Wilson interval be preferable to the normal approximation?

Back

The normal-approximation interval can perform poorly with few successes or failures, or with proportions near 0 or 1. A Wilson interval is often preferable in these cases.

09
Front

How should paired data be handled when comparing means?

Back

For paired data, analyze the within-pair differences. A confidence interval for a difference in means that contains zero does not prove the means are equivalent.

10
Front

What should guide a confidence interval for a difference in proportions?

Back

Estimate the difference p1−p2p_1-p_2 with a method suited to the sample sizes and observed proportions; simple normal approximations may be inaccurate.

11
Front

What does a regression slope confidence interval estimate?

Back

A slope interval estimates the change in the mean outcome associated with a one-unit increase in a predictor, under the fitted model.

12
Front

Which distribution is used for intervals for variance or standard deviation?

Back

For normally distributed data, confidence intervals for variance or standard deviation use the chi-square distribution rather than the mean’s t-interval.