geneticsLAB

GeneticsLAB - Mendelian Human Population Genetics Worksheet Name Layla Fijany Lab Day Time Bio 3A AM Lab A UNDERSTANDING MEIOSIS CHROMOSOME

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Name: Layla Fijany Lab Day & Time: Bio 3A – AM Lab A. UNDERSTANDING MEIOSIS & CHROMOSOME SEGREGATION 2. Where in the human body does meiosis occur? Gonads: testes and ovary 3. Which meiotic division is known as the reduction division? Meiosis I Diploid to haploid 4. What two sexual sources of variation occur during meiosis and how might these events affect the outcome of meiosis? Crossing over and independent assortment lead to variation. B. Importance of sample size in probability 5. Record the number of heads and tails for 100 coin tosses below and record your data on the computer in the classroom: Heads: 49 Tails: 51 6. Calculate the % deviation for your group’s data using the equation from the written section. Show your work. Lab data: I50 – 49I + I50 – 51I X 100% = 2% 100 C. Chi-Square “Goodness of Fit” Test Tables 1 - 3. Chi squared data table for personal, lab section and all coin flip data Observed Expected Heads 49 50 Tails 51 50 Observed Expected Heads 734 750 Tails 766 750 Observed Expected Heads 8955 9100 Tails 9245 9100 7. Using Excel, graph the outcomes for a) your personal data set, b) your lab data set and c) the
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large data set (posted on the web). Figure 1. Observed outcomes of heads and tails for personal, lab, and large data. For all three data groups, outcomes for heads and tails were 49 and 51, respectively. These results are very close to our expected outcome of 50/50 and closely support the 50% chance probability of flipping heads or tails. 8. Next, graph the p values against the log of the number of measurements. In a short paragraph discuss, once again, the effect of the number of measurements on the p value in these measurements. http://www.graphpad.com/quickcalcs/chisquared1.cfm Figure 2. P value (chi squared, two-tailed) for personal, lab and large group data. P value and the number of measurements made are indirectly related; p value decreases as measurements increase. In the personal and lab group data there were not enough measurements made for there to be a statistical difference (p value was greater then 0.05). For the large group data, there were about 18,200 measurements made that produced a p value of 0.0316 (< 0.05) and shows there is a statistical difference. P value measures the “goodness of fit.” The larger data set suggests that the data are not from the samples we expected (no difference of heads/tails, 50% probability). Name: Layla Fijany
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This note was uploaded on 02/28/2012 for the course BIO 3A taught by Professor Huntley during the Spring '10 term at Saddleback.

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GeneticsLAB - Mendelian Human Population Genetics Worksheet Name Layla Fijany Lab Day Time Bio 3A AM Lab A UNDERSTANDING MEIOSIS CHROMOSOME

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