AP Statistics Inference Review

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

When creating a confidence interval for the difference of 2 proportions, we pool the samples when finding standard error

• True
• False

Tags

CCSS.HSS.IC.B.4

Margin of error equals:

• Critical Value x Standard Error
• z*
• 1.96
• Standard Error

Tags

CCSS.HSS.IC.B.4

When p-value is greater than alpha we:

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

The null hypothesis always contains a:

• < or >
• =
• >
• = or >

The null hypothesis is represented by:

• Ha
• Ho
• t*
• HP

Tags

CCSS.HSS.IC.B.3

The point estimate for the difference of two proportions is:

• z*
• xbar1 - xbar2
• sqrt(p*(1-p)/n)
• p-hat1 minus p-hat 2

Tags

CCSS.HSS.IC.B.4

p-hat can be found by:

• x/n
• z*
• n > 30
• x-bar

Tags

CCSS.HSS.IC.B.4

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

Tags

CCSS.HSS.ID.A.4

What do we use to estimate unknown parameters?

• Hypothesis Test
• Confidence Interval
• Trig Identity
• Guess and check