review the table you completed in question #7:\n| | observed | expected |\n|--|--|--|\n| recombinant | 50 |…

review the table you completed in question #7:\n| | observed | expected |\n|--|--|--|\n| recombinant | 50 | 60 |\n| non - recombinant | 1450 | 1440 |\nnow, use the chi - square equation to calculate the total chi - square value.\n$chi_{s}^{2}=sum_{i = 1}^{c}\frac{(o_{i}-e_{i})^{2}}{e_{i}}$ \n5.89\n1.74\n0.07\n3.33

review the table you completed in question #7:\n| | observed | expected |\n|--|--|--|\n| recombinant | 50 | 60 |\n| non - recombinant | 1450 | 1440 |\nnow, use the chi - square equation to calculate the total chi - square value.\n$chi_{s}^{2}=sum_{i = 1}^{c}\frac{(o_{i}-e_{i})^{2}}{e_{i}}$ \n5.89\n1.74\n0.07\n3.33

Answer

Explanation:

Step1: Calculate for recombinant category

For recombinant, $O_1 = 50$, $E_1=60$. Using the chi - square formula $\frac{(O_1 - E_1)^2}{E_1}=\frac{(50 - 60)^2}{60}=\frac{(- 10)^2}{60}=\frac{100}{60}\approx1.67$.

Step2: Calculate for non - recombinant category

For non - recombinant, $O_2 = 1450$, $E_2 = 1440$. Using the chi - square formula $\frac{(O_2 - E_2)^2}{E_2}=\frac{(1450 - 1440)^2}{1440}=\frac{10^2}{1440}=\frac{100}{1440}\approx0.07$.

Step3: Calculate total chi - square value

$\chi_s^2=\sum_{i = 1}^{2}\frac{(O_i - E_i)^2}{E_i}=1.67+0.07 = 1.74$.

Answer:

1.74