Statistics Floor to ceiling effect use of interval normalPosted on: May 15, 2018, by : xnlamp
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2.22 This would be a ceiling effect because a high proportion of the subjects studied would have the maximum score on the observed variable.
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on all data bition (Table 1). A total of 13 individuals (five men…the stability of society with environmental quality…frustrated started my trip in fighting this phenom-ceiling, then to thefloorfor
2.36. For each of the types of data described below, would you present individual data values or grouped data when creating a frequency distribution? Explain your anwser clearly. (a) eye color observed for 87 people (b) minutes used on a cell phone by 240 particpants (c) time to complete the Boston Marathon for the nearly 22,000 runners who participate (d) number of siblings for 64 college students.
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2.12. Convert 817 out of 22,140 into a percentage. Now convert 4009 out of 22,140 into a percentage. What type of variable: (ordinal, nominal, or scale) are these data counts? What kind of variable are they as percentages?
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2.10. What are floor and ceiling effects?
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2.4. Describe two ways that statisticians might use the word interval.
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2.22 Would thedatafor number of murders by those convicted of the crime be an example of a floor or ceiling effect?
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2.36 (a) Grouped because there are easily defined groups like green, blue, brown etc. (b) Individual because its not a relatively large sample and it would be difficult to define groups and every time …
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