SOCR Events May2008 C7 S1

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(New page: == SOCR May 2008 Event - Use percentiles and measures of variability to analyze data== ===Compute different measures of spread, including the range, standard dev...)
 
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== [[SOCR_Events_May2008 | SOCR May 2008 Event]] - Use percentiles and measures of variability to analyze data==
== [[SOCR_Events_May2008 | SOCR May 2008 Event]] - Use percentiles and measures of variability to analyze data==
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===Compute different measures of spread, including the range, standard deviation, and interquartile range ===
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===Compute different [[AP_Statistics_Curriculum_2007_EDA_Var | measures of spread, including the range, standard deviation, and interquartile range]]===
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===Compare the effectiveness of different measures of spread, including the range, standard deviation, and interquartile range in specific situations===  
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===Compare the effectiveness of different [[AP_Statistics_Curriculum_2007_EDA_Var | measures of spread, including the range, standard deviation, and interquartile range]] in specific situations===  
===Use percentiles to summarize the distribution of a numerical variable===  
===Use percentiles to summarize the distribution of a numerical variable===  
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===Use histograms to obtain percentiles ===
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Copy the first 200 measurements of the [[SOCR_Data_Dinov_020108_HeightsWeights | Human Height and Weight Dataset]] into the [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Histogram Chart], map the Heights column and choose the [[AP_Statistics_Curriculum_2007_EDA_Pics#Pictures_of_Data | bin-size]] to be 0.1 - this corresponds roughly to plotting the percentiles for this data.
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<center>[[Image:SOCR_Events_May2008_C7_S1_Dinov_020808_Fig2.jpg|500px]]
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[[Image:SOCR_Events_May2008_C7_S1_Dinov_020808_Fig1.jpg|500px]]</center>
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===Use [[AP_Statistics_Curriculum_2007_EDA_Pics#Frequency_Histogram_Charts | histograms to obtain percentiles]]===
==References==
==References==

Current revision as of 00:15, 9 February 2008

Contents

SOCR May 2008 Event - Use percentiles and measures of variability to analyze data

Compute different measures of spread, including the range, standard deviation, and interquartile range

Compare the effectiveness of different measures of spread, including the range, standard deviation, and interquartile range in specific situations

Use percentiles to summarize the distribution of a numerical variable

Copy the first 200 measurements of the Human Height and Weight Dataset into the SOCR Histogram Chart, map the Heights column and choose the bin-size to be 0.1 - this corresponds roughly to plotting the percentiles for this data.

Use histograms to obtain percentiles

References



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