AP STATISTICS UPDATED 3 PRACTICE
QUESTIONS WITH DETAILED EXPLANATIONS
2026
◉ μ.
Answer: Population Mean
◉ σ.
Answer: Population Standard Deviation
◉ β.
Answer: Population Slope or P(type II error)
◉ α.
Answer: Significance Level or P(type I error)
◉ x̅ . A
nswer: Sample Mean
◉ n.
Answer: Sample Size
,◉ N.
Answer: Population Size
◉ p̂ . A
nswer: Sample Proportion
◉ t* or z*.
Answer: Critical Value
◉ t* =.
Answer: invt(area to left, df)
◉ z* =.
Answer: invnorm(area to left, df)
◉ SOCS.
Answer: Comparing or Describing Distributions
◉ FODS.
Answer: Describing Scatterplots
, ◉ Regression Model
( logx , y ).
Answer: Logarithmic Model
◉ Regression Model
( logx , logy ).
Answer: Power Model
◉ Regression Model
( x , logy ).
Answer: Exponential Model
◉ r.
Answer: Correlation Coefficient
◉ r squared.
Answer: Coefficient of determination
◉ r squared interpretation.
Answer: ____% of the variation in y can be explained by its linear
relationship with x.
QUESTIONS WITH DETAILED EXPLANATIONS
2026
◉ μ.
Answer: Population Mean
◉ σ.
Answer: Population Standard Deviation
◉ β.
Answer: Population Slope or P(type II error)
◉ α.
Answer: Significance Level or P(type I error)
◉ x̅ . A
nswer: Sample Mean
◉ n.
Answer: Sample Size
,◉ N.
Answer: Population Size
◉ p̂ . A
nswer: Sample Proportion
◉ t* or z*.
Answer: Critical Value
◉ t* =.
Answer: invt(area to left, df)
◉ z* =.
Answer: invnorm(area to left, df)
◉ SOCS.
Answer: Comparing or Describing Distributions
◉ FODS.
Answer: Describing Scatterplots
, ◉ Regression Model
( logx , y ).
Answer: Logarithmic Model
◉ Regression Model
( logx , logy ).
Answer: Power Model
◉ Regression Model
( x , logy ).
Answer: Exponential Model
◉ r.
Answer: Correlation Coefficient
◉ r squared.
Answer: Coefficient of determination
◉ r squared interpretation.
Answer: ____% of the variation in y can be explained by its linear
relationship with x.
