Topic 1: Samples and point estimates
Topic 2: Confidence intervals
Topic 3: Hypothesis testing
100

As it increases, the uncertainty (expressed as the standard error) of a point estimate decreases

What is the effect of sample size on the variance of a point estimate

100

It indicates how many standard deviations the point estimate is from the population mean or proportion

What does the test statistic (or Z-score) for a point estimate do?

100

Represents a “no difference” perspective; nothing special is happening

What is a suitable null hypothesis?

200

The mean or proportion of a sample that estimates the mean or proportion of the population it represents

What is the Point Estimate Definition

200
Used when the population standard deviation (sigma) is unknown

When would we use a t-test over a z test?

200

No difference is reported when there is actually one present

What is the definition of a Type 2 Error?

300

np >= 10 AND n(1-p)>=10

What is the success-failure condition?

300

Expresses the degree of confidence that the “real” population mean or proportion lies within a stated range of a point estimate

What is the definition of a confidence interval?
300

When a sample z-score exceeds the critical value

When would we reject the Null Hypothesis?

400

Sigma divided by the square root of n

What is the standard error (SE) of a point estimate for the mean?

400

point estimate +-Z* X SE

What is the formula for a confidence interval?

400

sample p-value is higher than alpha

When would we not reject the null hypothesis using the p-value method?

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