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- Multiple ChoicePlease save your changes before editing any questions.
Which of the following best describes a Type I error?

The null is true, but we mistakenly reject it.

The null is false and we reject it.

The null is false, but we fail to reject it.

The null is true but we fail to reject it.

The null is true, and we fail to reject it.

- Multiple ChoicePlease save your changes before editing any questions.To test a claim about a mean, when the population standard deviation is unknown we use:z proceduresPythagorean Theoremt proceduresnp > 10 and n(1-p) > 10
- Multiple ChoicePlease save your changes before editing any questions.
The null hypothesis is represented by:

Ha

Ho

t*

HP

μ

- Multiple ChoicePlease save your changes before editing any questions.
The null hypothesis always contains a(an):

< or >

=

>

= or >

≠

- Multiple ChoicePlease save your changes before editing any questions.When p-value is greater than alpha we:Accept HoAccept HaFail to reject HoReject Ho
- Multiple ChoicePlease save your changes before editing any questions.Margin of error equals:Critical Value ∗ standard Errorz*1.96Standard Error
- Multiple ChoicePlease save your changes before editing any questions.What is the Power of a test?A strong forceThe probability that we correctly reject a false null.The probability that we correctly accept a true null.How tough it is.
- Multiple ChoicePlease save your changes before editing any questions.
Which of the following best describes a type II error?

The null is true, but we mistakenly reject it.

The null is false and we reject it.

The null is false, but we fail to reject it.

The null is true but we fail to reject it.

Te null is false, and we reject it.

- Multiple ChoicePlease save your changes before editing any questions.What does it mean when a test is statistically significant?it has reached alpha level statusthe test statistic had a P-value higher than the alpha levelthe test statistic had a P-value lower than the alpha levelit is important in practical terms
- Multiple ChoicePlease save your changes before editing any questions.How can you reduce both Type I and Type II errors?it can't be reducedredo the testsincrease the sample sizetamper with the data
- Multiple ChoicePlease save your changes before editing any questions.
When conducting a significance test for the difference in proportions, why do we pool the data when finding standard error?

Because we like to swim

Because we assume p1 = p2 in Ho

Because the sample sizes are always equal

To be safe and make sure we don't underestimate the standard error

Because we don't the standard deviation.

- Multiple ChoicePlease save your changes before editing any questions.When creating a confidence interval for the difference of 2 proportions, we pool the samples when finding standard errorTrueFalse
- Multiple ChoicePlease save your changes before editing any questions.What do we use to estimate unknown parameters?Hypothesis TestConfidence IntervalTrig IdentityGuess and check