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Mathematics 28 Online
OpenStudy (anonymous):

histogram below, create a grouped frequency distribution

OpenStudy (anonymous):

histogram below, create a grouped frequency distribution : step one to determine the class, find the highest and lowest value and find the range , select the # of classes, find the width for the classes by dividing the range by the number of classes and rounding up, choose a starting point , it is usually convenient to use the lowest value in the data. add the width to get all the lower limits for all classes. find the uper class limits. step II tally data step III. find the numerical frequencies based on tallies from step II

OpenStudy (anonymous):

histogram below, create a grouped frequency distribution : step one to determine the class, find the highest and lowest value and find the range , select the # of classes, find the width for the classes by dividing the range by the number of classes and rounding up, choose a starting point , it is usually convenient to use the lowest value in the data. add the width to get all the lower limits for all classes. find the uper class limits. step II tally data step III. find the numerical frequencies based on tallies from step II

OpenStudy (anonymous):

histogram below, create a grouped frequency distribution : step one to determine the class, find the highest and lowest value and find the range , select the # of classes, find the width for the classes by dividing the range by the number of classes and rounding up, choose a starting point , it is usually convenient to use the lowest value in the data. add the width to get all the lower limits for all classes. find the uper class limits. step II tally data step III. find the numerical frequencies based on tallies from step II

OpenStudy (anonymous):

histogram below, create a grouped frequency distribution : step one to determine the class, find the highest and lowest value and find the range , select the # of classes, find the width for the classes by dividing the range by the number of classes and rounding up, choose a starting point , it is usually convenient to use the lowest value in the data. add the width to get all the lower limits for all classes. find the uper class limits. step II tally data step III. find the numerical frequencies based on tallies from step II

OpenStudy (anonymous):

histogram below, create a grouped frequency distribution : step one to determine the class, find the highest and lowest value and find the range , select the # of classes, find the width for the classes by dividing the range by the number of classes and rounding up, choose a starting point , it is usually convenient to use the lowest value in the data. add the width to get all the lower limits for all classes. find the uper class limits. step II tally data step III. find the numerical frequencies based on tallies from step II

OpenStudy (anonymous):

histogram below, create a grouped frequency distribution : step one to determine the class, find the highest and lowest value and find the range , select the # of classes, find the width for the classes by dividing the range by the number of classes and rounding up, choose a starting point , it is usually convenient to use the lowest value in the data. add the width to get all the lower limits for all classes. find the uper class limits. step II tally data step III. find the numerical frequencies based on tallies from step II

OpenStudy (anonymous):

here is the histogra,m as an attachement. sorry about instructions on how to do this distribution thing so many times !! was an accident!

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