Prepare for success in your AP Statistics journey with our meticulously crafted AP Stats Unit 2 Practice Test: Data Exploration Assessment. This comprehensive assessment is specifically designed to test your understanding of the key concepts covered in Unit 2 of the AP Statistics curriculum.
Explore the fascinating world of data exploration as you tackle a range of situational questions. You'll navigate through topics such as data types, study design, measures of central tendency, and statistical analysis. Each question is thoughtfully constructed to challenge your knowledge and analytical skills.
Whether you're a dedicated student striving for excellence or an educator seeking valuable assessment tools, this quiz provides an ideal platform for self-evaluation and targeted improvement. It's an essential resource to gauge your readiness and grasp of the fundamentals required to excel in AP Statistics. Sharpen your statistical insights and embark on a successful AP Stats journey today!
A convenience sample
A voluntary response sample
A probability sample
A stratified random sample
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Write the name of each student in the senior class on a slip of paper and put the papers in a container. Then randomly select 40 slips of paper from the container.
Assuming the classes are unlaned, select two classes at random and include those in your sample.
From a list of all seniors, select every nth name on the list until you have 40 people selected.
Select the first 40 seniors to pass through the cafeteria door at lunch.
Randomly select 10 students from each of the four senior calculus classes.
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Chi-Square Test
T-Test
ANOVA (Analysis of Variance)
Correlation Analysis
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Categorical variables
Cause-and-effect variables
Confounding variables
Unfounded variables
Quantitative variables
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Observational Study
Experimental Study
Cross-Sectional Study
Longitudinal Study
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Stratified random sample
Simple random sample
A convenience sample
A systematic random sample
An observational study
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Mean
Median
Mode
Range
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Double dummy design
Single-blind design
Double-blind design
Finite population design
Stratified sample design
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The data is normally distributed.
The data is skewed to the right.
The data is skewed to the left.
The data is bimodal.
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Categorical
Continuous
Discrete
Ordinal
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Ratio
Interval
Ordinal
Nominal
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Completely randomized
Comparative randomized, blocked by gender
Completely randomized, stratified by gender
Randomized, blocked by gender and type of medication
A matched pairs design
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2 factors, 7 levels and 420 treatments
2 factors, 3 levels and 12 treatments
3 factors, 7 levels and 420 treatments
3 factors, 12 levels and 420 treatments
3 factors, 7 levels and 12 treatments
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I only
II only
III only
I and III only
I and II only
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