corn lab

# corn lab - the chi-square is between.90.70 we fail to...

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D’Agnilli 1 Michael D’Agnilli  Bio 2 Dr. Hecht  14 February 2008 Corn Lab Follow-Up Material: For each ear of corn, carry out items #1 through #6: 1. Hypothesis that was tested. Are hypothesis was that purple would out weight yellow at a 3:1 ratio 2. Justification for that hypothesis. It’s justified because purple is the dominate trait in this cross 3. Table showing the observed results for the ear that your group counted, expected results, calculated difference, and the chi-square calculation (just like we did in class when we first discussed chi-square analysis). Be sure that you also include the degrees of freedom. Table 1 corn # 6500 Class Observed Expected Difference Difference^2/ expected Purple 322 319.5 2.5 .0196 Yellow 104 106.5 -2.5 .0587 Totals 426 426 0 .0783 There is 1 degree of freedom 4. Results of the chi-square analysis. This includes the P value for the analysis and what the meaning of the P value that you arrived at.

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Unformatted text preview: the chi-square is between .90-.70, we fail to reject D’Agnilli 2 5. Repeat #3 above for the combined class results for that ear of corn. Class results for # 6500 Class Observed Expected Difference Difference^2/ expected Purple 1210 1173 37 1.167 Yellow 354 391-37 3.561 Totals 1564 1564 4.668 There is 1 degree of freedom 6. Repeat #4 above for the combined class results for that ear of corn. We are between .05-.01 on the chi-square and therefore reject are hypothesis Looking over your answers for all of the above, please answer the following questions: 7. What is the effect of increasing sample size on the chi-square value? In our case the increased population brought us farther from are hypothesis 8. What is the effect of increasing sample size on the P value for your analyses. It brought it to in the reject area on the chi-square...
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corn lab - the chi-square is between.90.70 we fail to...

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