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Descriptive Statistics Homework Help Resources


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Students will be able to create a box plot or histogram. They will find measures of central tendency and identify which best describes the data set. This activity is intended to be a teacher-led discussion, but can be done using the student worksheet.
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Students will compare two distributions. Graphical and numerical representations will be used to draw conclusions. Students will graph histograms side-by-side to make comparisons based on shape, center, and spread. Students will graph box plots on the same axes comparing shape, spread, and the five-number summary.
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In this activity, students will be introduced to density curves as a simple analysis of a data set. They also will investigate where the median and mean lie on symmetric or skewed graphs.
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In this activity, students will learn four characteristics of a normal curve: the distribution is symmetric and mound-shaped; the mean and median are approximately equal; the distribution meets the 68-95.5-99.7 rule; and the normal probability plot is linear. They will use these to determine if a data set it normal.
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Students will be able to create a box plot or histogram. They will find measures of central tendency and identify which best describes the data set. This activity is intended to be a teacher-led discussion, but can be done using the student worksheet.
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Students will compare two distributions. Graphical and numerical representations will be used to draw conclusions. Students will graph histograms side-by-side to make comparisons based on shape, center, and spread. Students will graph box plots on the same axes comparing shape, spread, and the five-number summary.
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In this activity, students will be introduced to density curves as a simple analysis of a data set. They also will investigate where the median and mean lie on symmetric or skewed graphs.
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In this activity, students will learn four characteristics of a normal curve: the distribution is symmetric and mound-shaped; the mean and median are approximately equal; the distribution meets the 68-95.5-99.7 rule; and the normal probability plot is linear. They will use these to determine if a data set it normal.
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In this video, Salman Khan of Khan Academy explains the normal distribution.
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In this video, Salman Khan of Khan Academy explains binomial distribution. Part 2 of 4.
1 . 2 2 . 3 3 . 4 4 Next >
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