AP Stats Inference Review

A __________ gives an interval of plausible values for the _____________. 

• confidence interval, statistic
• point estimate, parameter
• point estimate, statistic
• confidence interval, parameter

Tags

CCSS.HSS.IC.B.4

Complete the equation: 
point estimate +/- _____

• standard deviation
• margin of error
• critical value
• confidence level

Tags

CCSS.HSS.IC.B.4

What is the format for interpreting a confidence interval? 

• The interval from ___ to ___ captures the true mean in context.
• C% of samples of the same size taken from the same population will capture the parameter in question
• There is convincing evidence that C% gives the interval (___, ___) capturing the parameter in question.
• We are C% confident that the interval from ___ to ___ captures the [parameter in context].

Tags

CCSS.HSS.IC.B.4

What can you do to reduce the margin of error? 

• increase the confidence level
• decrease the confidence level
• increase sample size
• decrease sample size

Tags

CCSS.HSS.IC.B.4

What is the critical value z* for a 99% confidence interval? 

Hint: Use yellow page or Inverse Normal

• -2.75

• 1.96
• -1.64
• 2.58

Tags

CCSS.HSS.ID.A.4

Given the interval (1.2, 1.8), what is the point estimate and the margin of error? 

Hint: Point estimate should be in the middle of the interval.

• 1.5, 0.6
• 1.5, 0.3
• 1.2, 0.3
• 1.2, 0.6

Tags

CCSS.HSS.IC.B.4

What critical value t* is used in constructing a 99% confidence interval based on n = 12 randomly selected observations. 

Hint: Use yellow page or Inverse T

• 3.106
• 3.055
• 2.58
• 1.96

Tags

CCSS.HSS.ID.A.4

Which of the following shows a right-tailed test?

Be careful which one you pick

• Ha: µ < 15
• H₀: µ < 15
• Ha: µ > 15
• H₀: µ > 15

In testing hypotheses, which of the following would be strong evidence against the null hypothesis?

• using a small level of significance
• using a large level of significance
• obtaining data with a small p-value
• obtaining data with a low test statistic

A P-value indicates:

• the probability that the null hypothesis is true
• the probability that the alternative hypothesis is true
• the probability of obtaining the results (or one more extreme) if the null hypothesis is true
• probability of a Type I error