Chi Square Biology

Find the degrees of freedom.

• 4

• 5

• 6

• 7

What is the null hypothesis?

• Injury type is independent of position played

• Injury type is dependent on the position played independent

• Injury type is correlated to position played.

What is the purpose of a Chi-Square test?

• To determine if there is a significant difference between the observed and expected values in an experiment.

• To determine if there is a statistically significant difference between the observed and expected values in an experiment.

• To do extra math.

• To conclusively prove that your null hypothesis is true or false.

How do you find the expected number?

• ratio from punnett square multiplied to total 

• ratio from punnett square divided by total

• ratio from punnett square multiplied by observed number

• ratio from punnett square minus observed number

Tags

NGSS.HS-LS3-3

In the formula for Chi Squared, the E stands for

• the sum

• the observed frequency

• The expected frequency

• the p value

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

• To compare observed and expected frequencies in categorical data

• To measure the central tendency of a data set

• To calculate the mean of a data set

• To determine the correlation between two variables

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

• Data must be normally distributed

• Data must be categorical

• Data must be continuous

• Data must be ordinal

In a Chi-Square test, what does a high Chi-Square value indicate?

• A strong correlation between variables

• A significant difference between observed and expected frequencies

• No difference between observed and expected frequencies

• Data is normally distributed

What is the null hypothesis in a Chi-Square test?

• There is no significant difference between observed and expected frequencies

• There is a significant difference between observed and expected frequencies

• The data is normally distributed

• The data is skewed

How is the degree of freedom calculated in a Chi-Square test for a contingency table?

• Number of rows minus one

• Number of columns minus one

• (Number of rows minus one) times (number of columns minus one)

• Number of rows plus number of columns minus two