Write a hypothesis: Null Hypothesis: H0: the data sets are independent Alternative Hypothesis: H1: the data sets are not independent (ie. dependent) Calculate the chi-squared value on the Calulator: Calculator Sheet => [menu] => 7: Matrix => 1: Create => 1: Matrix ~ type in number of columns and rows (TAB is useful for this) => [enter] ~type in values from table => [enter] => [ctrl] [var] [A] [enter] => [menu] => 6: Statistics => 7: Stat tests => 8: Chi squared 2-way test magic! on your screen will be the chi-squared vale and the p-value Conclusion: Comparing chi-squared value If your chi-squared calculated value is less than your chi-squared critical value you accept the null hypothesis. chi-squared calculated < chi-squared critical accept H0 : the data sets are independent If your chi-squared calculated value is greater than your chi-squared critical value you reject the null hypothesis and accept the alternative hypothesis. chi-squared calculated > chi-squared critical reject H0, accept H1 : the data sets are not independent chi high, no H0 Comparing p-value If your p-value is less than your significance level you reject the null hypothesis and accept the alternative hypothesis. p-value < significance level reject H0, accept H1 : the data sets are not independent P low, no H0 If your p-value is greater than your significance level you accept the null hypothesis. p-value > significance level accept H0 : the data sets are independent |