Problem library
/
Math I
/
M1-052-A02-V02
◇ Problem preview
S-ID.3
Warmup
M1-052-A02-V02
Interpret differences in shape, center, spread, and outliers in context.
Classify the shape of a histogram
Problem
Classify the histogram with equal-width nonoverlapping bins \([0,10)\), \([10,20)\), and \([20,30)\) and counts \(6\), \(3\), and \(1\). Report its modality and modal bin, symmetry or skew, uniformity, gaps, and supporting count evidence.
Answer choices
Choose your path.
⌁ Preview only
A
modality=unimodal, modal bin=[0,10) count6; skew=right-skewed; uniformity=not uniform; gaps=none; evidence=frequencies decrease6→3→1 toward higher values, forming right tail
B
modality=all bins tied; skew=none; uniformity=uniform; gaps=none; evidence=counts6,3,1 are treated as equal
C
modality=unimodal, modal bin=[0,10) count6; symmetry=roughly symmetric; uniformity=not uniform; gaps=none; evidence=counts6,3,1 are treated as balanced
D
modality=unimodal, modal bin=[0,10) count6; skew=left-skewed; uniformity=not uniform; gaps=none; evidence=declining counts6→3→1 toward higher values are treated as a left tail
The choices are visible. Checking your work and seeing which answer is correct happen inside Gozunta.
More than a preview
Gozunta lets you study this problem—and more than 10,000 others.
Create targeted learning sessions, use hints, check your answer, read the walkthrough, watch the video, print the work, and track your progress.
Four variants of this problem type
1 2 3 4
Copy link
Print
Curriculum context
Standard S-ID.3
Category Statistics and Probability
Domain Interpreting Categorical and Quantitative Data
Objective Interpret differences in shape, center, spread, and outliers in context.
Problem type Classify the shape of a histogram