when do we use a chi squared test
for a test of difference with an unrelated design and nominal data
step 1 of a chi squared
create a contingency table and work out row and column totals
step 2 of a chi squared
calculate expected frequencies for each cell
whats this calculation
expected frequencies
step 3 of a chi squared
minus the raw value from the cell to the expected frequency that was just calculated, and then square that value (it’ll be very small) and divide by the previously calculated expected value
step four of a chi sqaured
find the observed value of x² by adding all the values in the final column
what is this calculation
observed value of x²
step five of a chi squared
calculate the degrees of freedom
how to calculate the degrees of freedom in a chi squared
df = (number of rows - 1) x (number of column - 1)
step 6 of a chi squared
find the critical value for x²
step 7 of a chi squared
state the conclusions