3.12 Margins of error TH

The reason we have a margin of error is because

• our sample is too small

• of sampling variability

• of sampling error

• samples are unreliable

The sample produces a (multiple answers)

• point estimate

• parameter

• result

• statistic

The margin of error

• is a mistake

• is how much we expect our statistic to be out by

• is a fixed size

• is affected by the population size

A confidence interval

• if half the size of the margin of error

• is twice the size of the margin of error

• is the same as the margin of error

• is always slightly larger than the margin of error

The smaller the sample

• the larger the margin of error

• the smaller the margin of error

• there is no impact on the margin of error

• the more useful the margin of error

Margins of errors can be calculated using "rules of thumb"?

• True

• False

The confidence interval has a largest value called

• the maximum

• the boundary maximum

• the upper limit

• the upper confidence limit

Media claims are often based on poll

• percentages

• opinions

• means

• none of the above

Margins of errors calculated using "rules of thumb" only work

• if the sample percentage is over 50%

• if the sample percentage is between 30% and 70%

• if the sample percentage is over 75%

• if the sample percentage is between 50% and 80%

A "no comparison" claim uses the rule of thumb margin of error