<\/span><\/h4>\n<\/p>\n
Calculate the p-value based on the test statistic. The p-value can be obtained using statistical software or referring to critical value tables. It represents the probability of obtaining results as extreme or more extreme than the observed data, assuming the null hypothesis is true.<\/p>\n
Step 6: Make a Decision<\/strong><\/p>\n<\/p>\n
Compare the p-value to the chosen significance level (alpha). If the p-value is less than or equal to alpha, reject the null hypothesis. If the p-value is greater than alpha, fail to reject the null hypothesis.<\/p>\n
This decision does not prove the alternative hypothesis, but it suggests that the observed data provides enough evidence to support the presence of an effect or relationship.<\/p>\n