Type I and II Errors

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.

Tags

CCSS.HSS.MD.B.7

To test a claim about a mean, when the population standard deviation is unknown we use:

• z procedures
• Pythagorean Theorem
• t procedures
• np > 10 and n(1-p) > 10

To test a claim about a mean, when the population standard deviation is known we use:

• z procedures

• Pythagorean Theorem

• t procedures

• np > 10 and n(1-p) > 10

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.

p-hat can be found by:

• x/n
• z*
• n > 30
• x-bar

The null hypothesis is represented by:

• Ha
• Ho
• t*
• HP

The null hypothesis always contains a(an):

• < or >
• =
• >
• = or >

When p-value is greater than alpha we:

• Accept Ho
• Accept Ha
• Fail to reject Ho
• Reject Ho

Margin of error equals:

• Critical Value ∗ standard Error
• z*
• 1.96
• Standard Error

Which of the following best describes a Type II error?

• The null is true but we mistakenly reject it.
• The null is false but we mistakenly reject it.
• The is false but we fail to reject it.
• The null is true but w