{"id":257051,"date":"2024-05-07T08:45:16","date_gmt":"2024-05-07T08:45:16","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=257051"},"modified":"2024-05-07T08:45:16","modified_gmt":"2024-05-07T08:45:16","slug":"how-do-i-know-which-p-value-formula-to-use","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/","title":{"rendered":"How do I know which p-value formula to use?"},"content":{"rendered":"<p>The p-value is a statistical measure used to determine the strength of evidence against a null hypothesis. It tells us how likely it is to observe a test statistic as extreme as the one calculated, assuming the null hypothesis is true. The calculation of the p-value depends on the nature of the hypothesis being tested, the type of data collected, and the appropriate statistical test chosen. Here are several commonly used p-value formulas and when to use them.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_62 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#1_For_testing_population_mean_using_sample_data_with_known_population_standard_deviation\" title=\"1. For testing population mean using sample data with known population standard deviation:\">1. For testing population mean using sample data with known population standard deviation:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#2_For_testing_population_mean_using_sample_data_with_unknown_population_standard_deviation\" title=\"2. For testing population mean using sample data with unknown population standard deviation:\">2. For testing population mean using sample data with unknown population standard deviation:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#3_For_testing_population_proportion\" title=\"3. For testing population proportion:\">3. For testing population proportion:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#4_For_testing_the_difference_between_two_population_means\" title=\"4. For testing the difference between two population means:\">4. For testing the difference between two population means:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#5_For_testing_the_difference_between_two_population_proportions\" title=\"5. For testing the difference between two population proportions:\">5. For testing the difference between two population proportions:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#6_For_testing_the_relationship_between_two_categorical_variables\" title=\"6. For testing the relationship between two categorical variables:\">6. For testing the relationship between two categorical variables:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#7_For_testing_the_relationship_between_two_continuous_variables\" title=\"7. For testing the relationship between two continuous variables:\">7. For testing the relationship between two continuous variables:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#8_For_testing_the_difference_between_more_than_two_population_means\" title=\"8. For testing the difference between more than two population means:\">8. For testing the difference between more than two population means:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#9_For_testing_the_slope_of_a_regression_model\" title=\"9. For testing the slope of a regression model:\">9. For testing the slope of a regression model:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#10_For_testing_the_goodness_of_fit\" title=\"10. For testing the goodness of fit:\">10. For testing the goodness of fit:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#11_For_testing_the_independence_of_variables\" title=\"11. For testing the independence of variables:\">11. For testing the independence of variables:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#12_For_testing_the_equality_of_variances\" title=\"12. For testing the equality of variances:\">12. For testing the equality of variances:<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Frequently_Asked_Questions\" title=\"Frequently Asked Questions:\">Frequently Asked Questions:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Q1_Is_p-value_the_only_factor_for_determining_statistical_significance\" title=\"Q1: Is p-value the only factor for determining statistical significance?\">Q1: Is p-value the only factor for determining statistical significance?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Q2_Can_p-value_be_used_to_determine_the_magnitude_or_importance_of_an_effect\" title=\"Q2: Can p-value be used to determine the magnitude or importance of an effect?\">Q2: Can p-value be used to determine the magnitude or importance of an effect?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Q3_What_is_the_significance_level_and_why_is_it_important\" title=\"Q3: What is the significance level, and why is it important?\">Q3: What is the significance level, and why is it important?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Q4_Can_p-value_be_interpreted_as_the_probability_of_the_null_hypothesis_being_true\" title=\"Q4: Can p-value be interpreted as the probability of the null hypothesis being true?\">Q4: Can p-value be interpreted as the probability of the null hypothesis being true?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Q5_What_is_a_type_I_error\" title=\"Q5: What is a type I error?\">Q5: What is a type I error?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Q6_What_is_a_type_II_error\" title=\"Q6: What is a type II error?\">Q6: What is a type II error?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Q7_Can_p-value_be_used_to_make_predictions_or_causation_claims\" title=\"Q7: Can p-value be used to make predictions or causation claims?\">Q7: Can p-value be used to make predictions or causation claims?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Q8_If_the_p-value_is_above_the_significance_level_does_it_mean_the_null_hypothesis_is_true\" title=\"Q8: If the p-value is above the significance level, does it mean the null hypothesis is true?\">Q8: If the p-value is above the significance level, does it mean the null hypothesis is true?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Q9_Are_small_p-values_always_more_meaningful_or_important_than_larger_p-values\" title=\"Q9: Are small p-values always more meaningful or important than larger p-values?\">Q9: Are small p-values always more meaningful or important than larger p-values?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Q10_Can_p-values_be_used_for_multiple_comparisons\" title=\"Q10: Can p-values be used for multiple comparisons?\">Q10: Can p-values be used for multiple comparisons?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Q11_What_should_be_done_if_the_assumptions_of_a_statistical_test_are_violated\" title=\"Q11: What should be done if the assumptions of a statistical test are violated?\">Q11: What should be done if the assumptions of a statistical test are violated?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-25\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#Q12_Are_small_sample_sizes_problematic_for_p-value_calculations\" title=\"Q12: Are small sample sizes problematic for p-value calculations?\">Q12: Are small sample sizes problematic for p-value calculations?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"1_For_testing_population_mean_using_sample_data_with_known_population_standard_deviation\"><\/span><b>1. For testing population mean using sample data with known population standard deviation:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>If the population standard deviation is known, the z-test can be used to test the mean of a population. The p-value formula for this scenario involves calculating the standard normal distribution.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"2_For_testing_population_mean_using_sample_data_with_unknown_population_standard_deviation\"><\/span><b>2. For testing population mean using sample data with unknown population standard deviation:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>If the population standard deviation is unknown, the t-test is employed. The p-value formula involves calculating a t-distribution value to determine the probability of obtaining the observed sample mean.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"3_For_testing_population_proportion\"><\/span><b>3. For testing population proportion:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When testing a population proportion, such as the proportion of people who prefer a particular brand, the p-value formula  uses the standard normal distribution for large sample sizes (z-test) or the binomial distribution for small sample sizes (exact test).<\/p>\n<h2><span class=\"ez-toc-section\" id=\"4_For_testing_the_difference_between_two_population_means\"><\/span><b>4. For testing the difference between two population means:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>To compare the means of two independent populations, the independent samples t-test is utilized. The p-value formula involves calculating a t-distribution value using the difference in sample means and the standard error.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"5_For_testing_the_difference_between_two_population_proportions\"><\/span><b>5. For testing the difference between two population proportions:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The p-value formula for testing the difference between two population proportions uses the standard normal distribution for large sample sizes (z-test) or the binomial distribution for small sample sizes (exact test).<\/p>\n<h2><span class=\"ez-toc-section\" id=\"6_For_testing_the_relationship_between_two_categorical_variables\"><\/span><b>6. For testing the relationship between two categorical variables:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When analyzing the relationship between two categorical variables, a chi-square test is employed. The p-value formula calculates the probability of obtaining the observed distribution based on a chi-square distribution.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"7_For_testing_the_relationship_between_two_continuous_variables\"><\/span><b>7. For testing the relationship between two continuous variables:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When examining the relationship between two continuous variables, a correlation coefficient is often used. The p-value formula calculates the probability of obtaining the observed correlation coefficient based on the null hypothesis of no correlation.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"8_For_testing_the_difference_between_more_than_two_population_means\"><\/span><b>8. For testing the difference between more than two population means:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When comparing the means of more than two independent populations, an analysis of variance (ANOVA) is employed. The p-value formula calculates the probability of obtaining the observed variation between groups based on the F-distribution.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"9_For_testing_the_slope_of_a_regression_model\"><\/span><b>9. For testing the slope of a regression model:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When examining the significance of the slope in a linear regression model, the p-value formula calculates the probability of obtaining the observed regression coefficient based on the null hypothesis of no relationship between the variables.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"10_For_testing_the_goodness_of_fit\"><\/span><b>10. For testing the goodness of fit:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When assessing whether the observed data fits a specific distribution or model, the p-value formula calculates the probability of obtaining the observed discrepancy between the observed and expected values based on the appropriate distribution or model.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"11_For_testing_the_independence_of_variables\"><\/span><b>11. For testing the independence of variables:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When determining the independence of two categorical variables, such as gender and job satisfaction, the p-value formula calculates the probability of obtaining the observed association in a contingency table based on the null hypothesis of independence.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"12_For_testing_the_equality_of_variances\"><\/span><b>12. For testing the equality of variances:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When comparing the variances of two or more groups, such as in the Bartlett&#8217;s test or Levene&#8217;s test, the p-value formula calculates the probability of obtaining the observed difference in variances based on appropriate distribution assumptions.<\/p>\n<p><b>How do I know which p-value formula to use?<\/b><\/p>\n<p>Determining the appropriate p-value formula requires careful consideration of the research question, type of variable being tested, and the study design. Understanding the specific hypothesis being tested and the underlying assumptions of different statistical tests is crucial. Consulting a statistical text, software documentation, or seeking guidance from a statistician can help in selecting the correct formula for calculating the p-value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span>Frequently Asked Questions:<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h3><span class=\"ez-toc-section\" id=\"Q1_Is_p-value_the_only_factor_for_determining_statistical_significance\"><\/span>Q1: Is p-value the only factor for determining statistical significance?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>A1: No, p-value is just one component of statistical significance. Sample size, effect size, and the chosen significance level (alpha) also play a role.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q2_Can_p-value_be_used_to_determine_the_magnitude_or_importance_of_an_effect\"><\/span>Q2: Can p-value be used to determine the magnitude or importance of an effect?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>A2: No, p-value only tells us about the statistical evidence against the null hypothesis, not the practical or clinical significance of an effect.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q3_What_is_the_significance_level_and_why_is_it_important\"><\/span>Q3: What is the significance level, and why is it important?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>A3: The significance level (usually denoted as alpha) is the threshold used to determine statistical significance. It helps in deciding whether the p-value is small enough to reject the null hypothesis.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q4_Can_p-value_be_interpreted_as_the_probability_of_the_null_hypothesis_being_true\"><\/span>Q4: Can p-value be interpreted as the probability of the null hypothesis being true?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>A4: No, p-value cannot be directly interpreted as the probability of the null hypothesis. It represents the probability of obtaining the observed data, or more extreme, assuming the null hypothesis is true.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q5_What_is_a_type_I_error\"><\/span>Q5: What is a type I error?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>A5: A type I error occurs when the null hypothesis is wrongly rejected. The probability of type I error is equal to the significance level.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q6_What_is_a_type_II_error\"><\/span>Q6: What is a type II error?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>A6: A type II error occurs when the null hypothesis is wrongly accepted. It is influenced by the sample size, effect size, and chosen significance level.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q7_Can_p-value_be_used_to_make_predictions_or_causation_claims\"><\/span>Q7: Can p-value be used to make predictions or causation claims?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>A7: No, p-value only assesses the strength of evidence against the null hypothesis and is not suitable for making predictions or causal claims.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q8_If_the_p-value_is_above_the_significance_level_does_it_mean_the_null_hypothesis_is_true\"><\/span>Q8: If the p-value is above the significance level, does it mean the null hypothesis is true?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>A8: No, it means there is not enough evidence to reject the null hypothesis. It does not prove the null hypothesis to be true.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q9_Are_small_p-values_always_more_meaningful_or_important_than_larger_p-values\"><\/span>Q9: Are small p-values always more meaningful or important than larger p-values?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>A9: Not necessarily. Small p-values indicate stronger evidence against the null hypothesis, but the significance and importance of an effect should be evaluated in a broader context.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q10_Can_p-values_be_used_for_multiple_comparisons\"><\/span>Q10: Can p-values be used for multiple comparisons?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>A10: When conducting multiple comparisons, p-values should be adjusted to control the overall type I error rate, for example, using methods like Bonferroni correction.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q11_What_should_be_done_if_the_assumptions_of_a_statistical_test_are_violated\"><\/span>Q11: What should be done if the assumptions of a statistical test are violated?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>A11: If assumptions are violated, alternative tests or methods that are more robust to violations should be considered, or transformations of the data may be applied.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q12_Are_small_sample_sizes_problematic_for_p-value_calculations\"><\/span>Q12: Are small sample sizes problematic for p-value calculations?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>A12: Small sample sizes can lead to imprecise estimates and inflated p-values. Special attention should be given to sample size planning to ensure adequate power for meaningful inferences.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The p-value is a statistical measure used to determine the strength of evidence against a null hypothesis. It tells us how likely it is to observe a test statistic as extreme as the one calculated, assuming the null hypothesis is true. The calculation of the p-value depends on the nature of the hypothesis being tested, &#8230; <\/p>\n<p class=\"read-more-container\"><a title=\"How do I know which p-value formula to use?\" class=\"read-more button\" href=\"https:\/\/namso-gen.co\/blog\/how-do-i-know-which-p-value-formula-to-use\/#more-257051\">Read more<span class=\"screen-reader-text\">How do I know which p-value formula to use?<\/span><\/a><\/p>\n","protected":false},"author":65,"featured_media":107420,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[86279],"tags":[],"class_list":["post-257051","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-learn","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How do I know which p-value formula to use?<\/title>\n<meta name=\"description\" content=\"The p-value is a statistical measure used to determine the strength of evidence against a null hypothesis. 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