Question

question 1
why would you run a chi - squared test?
a to determine if our data exactly matches the expected results.
b to determine if our data is consistent with expected results.
c to determine the expected results.
d to compare the phenotypic ratios to the genotypic ratios.
question 2
write the complete null hypothesis for this experiment.
use the editor to format your answer
question 3
write the complete alternative hypothesis for this experiment.
use the editor to format your answer
question 4

Explanation:

• Question 1: A Chi - squared test is used to determine if observed data is consistent with expected results. It doesn't check for an exact match.
• Question 2: The null hypothesis ($H_0$) for a Chi - squared test in general terms is that there is no significant difference between the observed and expected frequencies. For example, if testing a genetic cross, it could be "There is no significant difference between the observed phenotypic ratios and the expected phenotypic ratios based on Mendelian genetics."
• Question 3: The alternative hypothesis ($H_1$) is that there is a significant difference between the observed and expected frequencies. For the genetic cross example, it could be "There is a significant difference between the observed phenotypic ratios and the expected phenotypic ratios based on Mendelian genetics."

Answer:

• Question 1: B. To determine if our data is consistent with expected results.
• Question 2: The null hypothesis is that there is no significant difference between the observed and expected frequencies (adjust according to specific experiment context).
• Question 3: The alternative hypothesis is that there is a significant difference between the observed and expected frequencies (adjust according to specific experiment context).