Explore public exercises tagged statistics.
10 public resources
Learning path
This learning path covers two-way frequency tables for Grade 8 mathematics. Practice reading, calculating, and interpreting joint, marginal, and conditional relative frequencies across various scenarios and context-based data sets.
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This learning path covers lines of best fit and linear models for scatter plots. Students explore core concepts, write and interpret trend line equations, analyze bivariate data, make predictions, and apply skills to real-world scenarios.
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Explore bivariate data concepts, scatter plot patterns, lines of best fit, and two-way tables in this Grade 8 learning path. Practice identifying associations, analyzing real-world scenarios, and making predictions using trend lines.
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Explore how to analyze and compare data sets using measures of center and variability. Learn to interpret box plots and evaluate distributions across various contexts using medians and interquartile ranges.
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Explore key concepts in random sampling and population statistics, including sample bias, sampling techniques, and inference precision. Practice estimating population parameters, analyzing data displays, and applying proportional reasoning to real-world scenarios.
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This learning path covers theoretical and experimental probability. Students explore sample spaces, outcomes, complementary events, likelihood scales, and real-world predictions using coins, dice, spinners, and draw experiments.
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Explore dot plots, histograms, and box plots in this Grade 6 learning path. Practice reading data, analyzing distributions, finding statistical summaries, and comparing different data displays.
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This learning path guides students through understanding and calculating measures of variability, including the median, quartiles, interquartile range, and mean absolute deviation. Students practice basic computation, real-world applications, box plot interpretation, and comparing data sets.
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This Grade 6 learning path covers mean, median, and mode through foundational calculations and real-world application. Students practice working with diverse data sets, evaluating outliers, and selecting appropriate measures of center.
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Dive into the exciting world of data analysis with this engaging exercise, where you'll explore how to calculate the mean, median, mode, and range of colorful datasets! Sharpen your math skills and uncover the stories behind the numbers as you solve real-life problems using these essential statistical tools.
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