AP Statistics Unit 2 Review
Authored by Delery Janet
Mathematics
9th - 12th Grade
CCSS covered
Used 1K+ times
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About
This quiz comprehensively covers correlation, regression analysis, and bivariate data analysis concepts essential to AP Statistics. The questions assess students' understanding of correlation strength and direction, interpretation of scatterplots, calculation and contextual meaning of least squares regression lines, residual analysis, and two-way table analysis. Students need strong foundational skills in identifying linear relationships, calculating and interpreting correlation coefficients, understanding slope and y-intercept in context, computing residuals, and analyzing conditional and marginal distributions. The material requires mastery of regression equation interpretation, model appropriateness assessment through residual plots, identification of outliers and influential points, and the critical distinction between correlation and causation. This represents grade 11-12 level advanced placement statistics content that builds upon Algebra 2 concepts while introducing sophisticated statistical reasoning and data interpretation skills. Created by Janet Delery, a Mathematics teacher in US who teaches grade 9-12. This assessment serves as an excellent comprehensive review tool for students preparing for unit examinations or AP Statistics assessments covering bivariate data analysis. Teachers can effectively use this quiz as a formative assessment to gauge student readiness before moving to inferential statistics topics, or as targeted practice for students struggling with regression concepts. The variety of question formats - from basic correlation identification to complex contextual interpretations - makes it ideal for differentiated instruction and homework assignments that reinforce classroom learning. The quiz aligns with Common Core Standards HSA-CED.A.2 and HSA-CED.A.3 for creating and interpreting linear equations, while supporting AP Statistics Learning Objectives covering exploratory analysis of two-variable data, least squares regression, and residual analysis that form the foundation for advanced statistical modeling.
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30 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Describe the correlation in the graph shown.
Tags
CCSS.HSF-LE.A.1B
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Describe the correlation in the graph shown.
Tags
CCSS.HSS.ID.B.6
CCSS.HSS.ID.C.8
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A correlation shows that two variables are
Tags
CCSS.HSS.ID.B.6
CCSS.HSS.ID.C.9
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of correlation does this graph show?
Tags
CCSS.HSS.ID.B.6
CCSS.HSS.ID.C.8
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What type of correlation describes the following sentence:
The "number of people that go to the pool" and the "temperature outside".
Tags
CCSS.HSS.ID.B.6
CCSS.HSS.ID.C.8
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What type of correlation describes the following sentence:
The "temperature outside" and the "number of hot chocolate sold" at a football game.
Tags
CCSS.HSF-LE.A.1B
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
If two variables are negatively correlated...
Tags
CCSS.HSF-LE.A.1B
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