Data Clusters Analysis Worksheet
Grade 11 Math worksheet focusing on identifying, analyzing, and interpreting data clusters in various data representations.
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Data Clusters Analysis
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Read each question carefully and provide your best answer. Show all your work for full credit. This worksheet focuses on identifying and interpreting data clusters, outliers, and distribution shapes.
1. Which of the following best describes a data cluster?
Data points that are spread out evenly across the range.
A grouping of data points that are close to each other.
A single data point that is far from others.
The average value of a dataset.
2. An outlier is a data point that:
Is part of the main data cluster.
Is significantly different from other data points.
Is always the lowest value in a dataset.
Is used to calculate the mean.
Consider the following dataset representing the test scores of 15 students: 65, 70, 72, 75, 78, 80, 81, 82, 83, 85, 90, 92, 95, 98, 40.
3. Identify any clusters present in the data. Explain your reasoning.
4. Identify any outliers in the data. Explain why you consider them outliers.
5. A dataset can only have one cluster.
True
False
6. Outliers always negatively impact the mean of a dataset.
True
False
7. A is a visual representation of data using dots above a number line.
8. When data points are concentrated around a particular value, it indicates a .
9. Analyze the following bar graph showing the number of books read by students in a month. Identify any clusters or outliers you observe.
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