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| Type of paper: | Statistics Project |
| Subject area: | Mathematics |
| Academic level: | College, Bachelor |
| Style: | MLA |
| Size: | 51.5 kB |
| Word count: |
715 words/3 pages
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| Mark awarded: |  |
| Author: | Whitney Short |
| Date submitted: | 2008-11-22 01:54:09 |
| Rating/Votes count: |
5.00 / 3
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| Tags: | students, intelligence, money, business, justice, test, experiment, math, emotional, shopping, shopper, msbs, lessons, John Wiley, SSR, Stanford Prison Experiment, MSR, Error |
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The experiment would involve the three teachers training 40 students each in fall , and 30 students each in spring . In each class , random sample of twenty students (in fall ) and fifteen students (in spring , will buy textbooks and the other half will pay a similar lab fee for animation labs over the web . At the end of the course , an exam will be given to the students . An evaluation exam will be given to the teachers to assess their performance in the previous semester . Now , we will test , based on the test results if students using animation software tend to have higher grades than those that buy books . The experimental design that will be used is Split-plot in Randomized Complete Block Design (RCBD . Let a be the students buying books or will pay lab fees over the net , so there are 2 factors . Let b be the students , there are forty and thirty in fall and in spring in each class , so there are forty factors . Let r be the teachers , there are three teachers so , there are three factors . Let a r be the number of homogenous plots ie students buying books in Ms . Green 's class , students paying over the net in Ms . Green 's class , students buying books in Mr . White 's class , and so on . This is the plot for the experiment Let A buying books B paying over the net A B A B A B students students students students students students Ms . Green Mr . White Mr . Brown note : students are randomly selected to attend a class ANOVA will be used to test the claim that animation software soft ware tend to better understand concepts involved in data structures courses such as sorting , searching and data organization . F-test will be the appropriate test . Blocks and levels of factor A and factor B can be fixed or random (Montgomery 2001 . This is the intended ANOVA table for the experiment . Source of Variation Degrees of Freedom Sum of Squares Mean Square F - computed mainplot ar-1 Block (teacher ) r-1 RSS MSR MSR A a-1 ASS MSA MSA /MSEa Error (a ) a (r-1 ) EaSS MSEa subplot ar (b-1 ) B b-1 BSS MSB MSB /MSEb AB (a-1 (b-1 ) ABSS MSAB MSAB /MSEb Error (b ) a (b-1 (r-1 ) EbSS MSEb In analysis , test the interaction effect AB with Ho : there is no interaction effect and Ha : there is interaction effect . If the test proved not significant , test on the effects of the individual factors , A and B . their Ho states there is no difference between the mean test scores among different levels of A (B . Similar test is to determine the block effect or if the teachers are effective in teaching the course . This test is not included in the sequential test above . Alpha .1 since people are being studied . A problem that will be encountered is the students not participating in the experiment . Statistics laws are true that when observations approach infinity , the error will approach zero but the researcher... |
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