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picture1_Standard Deviation Ppt 69745 | Standard Deviation


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File: Standard Deviation Ppt 69745 | Standard Deviation
focus 6 learning goal hs s id a 1 hs s id a 2 hs s id a 3 hs s id b 5 students will summarize represent and interpret ...

icon picture PPTX Filetype Power Point PPTX | Posted on 29 Aug 2022 | 3 years ago
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   Focus 6 Learning Goal – (HS.S-ID.A.1, HS.S-ID.A.2, HS.S-ID.A.3, HS.S-ID.B.5) = Students will summarize, 
   represent and interpret data on a single count or measurement variable.
              4                        3                        2                  1                0
     In addition to       The student will summarize,  The student will be  With help from    Even with 
     level 3.0 and        represent, and interpret data  able to:           the               help, the 
     above and            on a single count or          -  Make dot plots,  teacher, the      student has 
     beyond what was  measurement variable.             histograms, box     student has       no success 
     taught in class,     -  Comparing data includes    plots and two-way  partial success    understandin
      the student         analyzing center of data      frequency tables.   with              g statistical 
     may:                 (mean/median), interquartile  -  Calculate        summarizing       data.
     · Make               range, shape distribution of a  standard          and interpreting 
     connection with      graph, standard deviation     deviation.          data displayed 
     other concepts in  and the effect of outliers on   -  Identify normal  in a dot plot, 
     math                 the data set.                 distribution of data  histogram, box 
     · Make               -  Read, interpret and write  (bell curve) and    plot or 
     connection with      summaries of two-way          convey what it      frequency table.
     other content        frequency tables which        means.
     areas.               includes calculating joint,     
                          marginal and relative          
                          frequencies.
     Normal Distribution
      There are many cases where data tends to 
      be around a central value with no bias left 
      or right.  This is called a Normal 
      Distribution.
      The “Bell Curve” is a Normal Distribution.
      It is often called a “bell curve” because it 
      looks like a bell.
      The Normal Distribution has 
      mean = median = mode.
     Advantages to using a bell curve: readily displays the mean/median, 
     easy to see spread, good for symmetric data
     Disadvantages to using a bell curve: only best for symmetric but not 
     skewed data, don’t know the specific data / individual data points
      Standard Deviation
       The standard deviation is a measure of how spread out numbers are.  
       Generally, this is what we find out:
           68% of values are           95% of values are          99.7% of values are 
           within 1 standard           within 2 standard           within 3 standard 
            deviation of the           deviations of the           deviations of the 
                mean.                        mean.                      mean.
    Learn more about Normal 
    Distribution and Standard 
    Deviations
       The video to play as at the bottom of the screen.
  Refresher on 1, 2 and 3 standard 
  deviations from the mean.
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...Focus learning goal hs s id a b students will summarize represent and interpret data on single count or measurement variable in addition to the student be with help from even level able above make dot plots teacher has beyond what was histograms box no success taught class comparing includes two way partial understandin analyzing center of frequency tables g statistical may mean median interquartile calculate summarizing range shape distribution standard interpreting connection graph deviation displayed other concepts effect outliers identify normal plot math set histogram read write bell curve summaries convey it table content which means areas calculating joint marginal relative frequencies there are many cases where tends around central value bias left right this is called often because looks like mode advantages using readily displays easy see spread good for symmetric disadvantages only best but not skewed don t know specific individual points measure how out numbers generally we ...

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