Chi squared

• Hypothesis = 

  H0 - no significant difference in gender and observed preference 

  H1 - is a significant difference in gender and observed preference
• Chi Square Test - The formula is (O-E)^2/E, where O=observed frequency and E=expected frequency
• The chi square test can be used to determine if there are differences between the expected and actual frequencies.
• Step 1 - total for rows and columns 

  Step 2 - a-d

  Step 3 create table 

  Step 4: calculate E (expected value) for ‘cell a’

  E= row total X column total / grand total 

  Step 5: calculate O-E, (O-E)squared, (O-E)squared/E

  step 6: sum up total

  step 7: find degree of freedom formula (r-1)(c-1)

  step 8: look up critic value by knowing if you have one or two tailed hypothesis, use p<0.05 usually, p<0.01 for sensitive research

  Step 9: to be significant chi squared test must be greater than or equal to the number on critical value table