
Midterm Review - Ch. 1 - 3 AP Stats
Authored by Kristine Burmeister
Mathematics
12th Grade
CCSS covered
Used 24+ times

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38 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A sociologist is studying the relationship between early childhood nutrition and academic achievement in middle school among children in a certain city. Which of the following statements about the variable “early childhood nutrition” is correct?
Tags
CCSS.HSS.ID.C.9
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A sociologist studying the relationship between early childhood nutrition and academic achievement in middle school among children in a certain city finds that the correlation between these two variables is 0.86. Which of the following conclusions can he draw from this study?
Tags
CCSS.HSS.ID.C.9
CCSS.HSS.ID.B.6
CCSS.HSS.ID.C.8
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following statements about the slope of the least-squares regression line is true?
Tags
CCSS.HSS.ID.B.6
CCSS.HSS.ID.C.7
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
One of the following is a correct statement involving correlation. The other three contain blunders. Which one is correct?
Tags
CCSS.HSF.LE.B.5
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A study showed that students who spend more time studying for statistics tests tend to achieve better scores on their tests. In fact, the number of hours studied turned out to explain 81% of the observed variation in test scores among the students who participated in the study. What is the value of the correlation between number of hours studied and test score?
Tags
CCSS.HSS.ID.C.9
CCSS.HSS.ID.B.6
CCSS.HSS.ID.C.8
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The following computer output describes the relationship between y = height (in cm) and x = foot length (also in cm) for 12 randomly selected students from the British Census @ Schools database. The scatterplot for this relationship show a roughly linear shape. Which of the following is an equation of least-squares regression line for these data?
Tags
CCSS.8.EE.C.8C
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If you graphed height as the explanatory variable and weight as the response variable, what would happen to the LSRL and r if you had accidently graphed the weight as the explanatory variable and the height as the response variable?
Tags
CCSS.8.F.A.2
CCSS.HSF.IF.C.9
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