Wednesday, October 10, 2012

Standard ED E.5


ED E.5 Frequency and Relative Frequency Tables






Frequency and relative frequency tables are categorical data. The difference between the frequency and relative relative frequency is that for relative, you use percentages rather than numbers. The contingency table above is a table that I created for standard ED E.5. The distribution is a data that I created, not collected. This standard make sure that I can identify the correct values that make up the marginal, joint, and conditional frequencies given a two way table. The following contingency table shows how many students at Mason High School play for each sport in the different class. From the categorical data, the marginal distribution for the sports would be: Golf = 15/195, 7.69% ; Lacrosse = 22/195, 11.28% ; Swimming = 24/195, 12.31% ; Water Polo = 26/195, 13.33% ; Soccer = 33/195, 16.92% ; Basketball = 33/195, 16.92% ; Football = 42/195, 21.54%. The marginal distribution for the high school class would be: Freshman = 51/195, 26.15% ; Sophomore = 46/195, 23.59% ; Junior = 55/195, 28.21% ; Senior = 43/195, 22.05%. The marginal distribution focuses on the total of 1 variable. The conditional distribution, however, we are looking at 1 limiting factor. For example: In Mason High School, Freshman that play golf would be 3/17, 17.65%. Freshman that play Lacrosse = 5/22, 22.72%. Senior that play football would be 12/42, 28.57%. 

2 comments:

  1. What about conditional distributions? I don't see an example of a conditional distribution. Once you show me that, then you will get your 4/4.

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  2. You are closer on conditional distributions, but not quite there yet.

    Email me the answer to this question for a 4/4:

    According to your table, what is the conditional distribution for the sports that Sophomores play?

    My email is mayss@mason.k12.oh.us

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