Random chance and probability reading

If we calculate a chi square value of 140 from the

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Unformatted text preview: ould use 2 degrees of freedom. If we calculate a Chi-square value of 1.40 from the experiment, then when we look this up on the Chi-square Distribution chart, we find that our Chi-square value places us approximately in the “p=.50” column. This means that the variance between our observed results and our expected results would occur from random chance alone about 50% of the time. Therefore, we could conclude that chance alone could cause such a variance often enough that the data still supported our hypothesis, and probably another factor is not influencing our coin toss results. However, if our calculated Chi-square value, yielded a sum of 5.991 or higher, then when we look this up on the Chi-square Distribution chart, we find that our Chi-square value places us in the “p=.05” column. This means that the variance between our observed results and our expected results would occur from random chance alone only about 5% of the time (only 1 out of every 20 times). Therefore, we would conclude that chance factors alone are no...
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This document was uploaded on 02/03/2014.

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