Chi Square AP Biology

In the formula for Chi Squared, the O stands for

• the sum

• the observed frequency

• The expected frequency

• the p value

Find the degrees of freedom.

• 4

• 5

• 6

• 7

The appropriate null hypothesis for performing a chi-square test is that

• equal proportions of female and male teenagers are almost certain they will be married in 10 years.

• there is no difference between the distributions of female and male teenagers' opinions about marriage in this sample.

• there is no difference between the distributions of female and male teenagers' opinions about marriage in the population.

• there is no association between gender and opinion about marriage in the sample.

• there is no association between gender and opinion about marriage in the population.

What are the expected counts of a female who likes Pepsi?

• 10.5

• 11

• 14.5

• 6.3

In a Chi-Square test, what does the E represent in the formula?

• The expected frequency

• The observed frequency

• The error margin

• The experimental value

Which of the following is a requirement for using the Chi-Square test?

• Data must be continuous

• Data must be categorical

• Data must be normally distributed

• Data must be ordinal

In a Chi-Square test, if the calculated value is greater than the critical value, what is the conclusion?

• Accept the null hypothesis

• Reject the null hypothesis

• Accept the alternative hypothesis

• Reject the alternative hypothesis

What is the primary purpose of the Chi-Square test in biology?

• To compare means between two groups

• To assess the relationship between two categorical variables

• To determine the correlation coefficient

• To analyze variance within a group

Which of the following is an example of a categorical variable suitable for a Chi-Square test?

• Height of plants

• Weight of animals

• Color of flowers

• Temperature of water

In a Chi-Square test, what does a p-value less than 0.05 indicate?

• There is no significant difference

• There is a significant difference

• The test is invalid

• The sample size is too small