{"id":227659,"date":"2024-05-28T02:38:32","date_gmt":"2024-05-28T02:38:32","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=227659"},"modified":"2024-05-28T02:38:32","modified_gmt":"2024-05-28T02:38:32","slug":"how-to-decrease-the-p-value","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/","title":{"rendered":"How to decrease the p value?"},"content":{"rendered":"<p>In statistical analysis, the p-value is a measure used to determine the strength of evidence against the null hypothesis. Generally, a smaller p-value signifies stronger evidence against the null hypothesis. In this article, we will explore various techniques and considerations to decrease the p-value, thereby increasing the significance of our findings.<\/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-to-decrease-the-p-value\/#Understanding_the_Concept_of_the_p-value\" title=\"Understanding the Concept of the p-value\">Understanding the Concept of the p-value<\/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-to-decrease-the-p-value\/#Techniques_to_Decrease_the_p-value\" title=\"Techniques to Decrease the p-value\">Techniques to Decrease the p-value<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#1_Increase_the_Sample_Size\" title=\"1. Increase the Sample Size\">1. Increase the Sample Size<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#2_Enhance_Measurement_Precision\" title=\"2. Enhance Measurement Precision\">2. Enhance Measurement Precision<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#3_Control_for_Confounding_Variables\" title=\"3. Control for Confounding Variables\">3. Control for Confounding Variables<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#4_Use_a_One-tailed_Test\" title=\"4. Use a One-tailed Test\">4. Use a One-tailed Test<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#5_Conduct_a_Randomized_Controlled_Trial_RCT\" title=\"5. Conduct a Randomized Controlled Trial (RCT)\">5. Conduct a Randomized Controlled Trial (RCT)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#6_Apply_Correct_Statistical_Tests\" title=\"6. Apply Correct Statistical Tests\">6. Apply Correct Statistical Tests<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#7_Reduce_Variability\" title=\"7. Reduce Variability\">7. Reduce Variability<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#8_Consider_Interaction_Effects\" title=\"8. Consider Interaction Effects\">8. Consider Interaction Effects<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#9_Apply_appropriate_Transformations\" title=\"9. Apply appropriate Transformations\">9. Apply appropriate Transformations<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#10_Account_for_Multiple_Comparisons\" title=\"10. Account for Multiple Comparisons\">10. Account for Multiple Comparisons<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#11_Consider_the_Effect_Size\" title=\"11. Consider the Effect Size\">11. Consider the Effect Size<\/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-to-decrease-the-p-value\/#12_Replicate_the_Study\" title=\"12. Replicate the Study\">12. Replicate the Study<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#Frequently_Asked_Questions_FAQs\" title=\"Frequently Asked Questions (FAQs)\">Frequently Asked Questions (FAQs)<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#Q1_Can_I_manipulate_my_data_to_decrease_the_p-value\" title=\"Q1: Can I manipulate my data to decrease the p-value?\">Q1: Can I manipulate my data to decrease the p-value?<\/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-to-decrease-the-p-value\/#Q2_Can_changing_the_significance_level_reduce_the_p-value\" title=\"Q2: Can changing the significance level reduce the p-value?\">Q2: Can changing the significance level reduce the p-value?<\/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-to-decrease-the-p-value\/#Q3_Is_a_smaller_p-value_always_desirable\" title=\"Q3: Is a smaller p-value always desirable?\">Q3: Is a smaller p-value always desirable?<\/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-to-decrease-the-p-value\/#Q4_What_if_my_p-value_remains_high_despite_implementing_these_techniques\" title=\"Q4: What if my p-value remains high despite implementing these techniques?\">Q4: What if my p-value remains high despite implementing these techniques?<\/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-to-decrease-the-p-value\/#Q5_Can_we_guarantee_that_decreasing_the_p-value_will_lead_to_conclusive_results\" title=\"Q5: Can we guarantee that decreasing the p-value will lead to conclusive results?\">Q5: Can we guarantee that decreasing the p-value will lead to conclusive results?<\/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-to-decrease-the-p-value\/#Q6_What_are_some_common_mistakes_that_increase_the_p-value\" title=\"Q6: What are some common mistakes that increase the p-value?\">Q6: What are some common mistakes that increase the p-value?<\/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-to-decrease-the-p-value\/#Q7_What_is_the_relationship_between_statistical_power_and_the_p-value\" title=\"Q7: What is the relationship between statistical power and the p-value?\">Q7: What is the relationship between statistical power and the p-value?<\/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-to-decrease-the-p-value\/#Q8_Is_it_possible_to_have_a_p-value_of_0\" title=\"Q8: Is it possible to have a p-value of 0?\">Q8: Is it possible to have a p-value of 0?<\/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-to-decrease-the-p-value\/#Q9_Can_outliers_impact_the_p-value\" title=\"Q9: Can outliers impact the p-value?\">Q9: Can outliers impact the p-value?<\/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-to-decrease-the-p-value\/#Q10_Is_a_higher_effect_size_always_associated_with_a_lower_p-value\" title=\"Q10: Is a higher effect size always associated with a lower p-value?\">Q10: Is a higher effect size always associated with a lower p-value?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-26\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#Q11_Are_there_situations_where_increasing_the_p-value_is_desirable\" title=\"Q11: Are there situations where increasing the p-value is desirable?\">Q11: Are there situations where increasing the p-value is desirable?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-27\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#Q12_What_if_my_study_has_conflicting_results_despite_decreasing_the_p-value\" title=\"Q12: What if my study has conflicting results despite decreasing the p-value?\">Q12: What if my study has conflicting results despite decreasing the p-value?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Understanding_the_Concept_of_the_p-value\"><\/span>Understanding the Concept of the p-value<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Before discussing how to decrease the p-value, let us briefly understand what it represents. The p-value is the probability of obtaining results as extreme or more extreme than the observed data, assuming the null hypothesis is true. If the p-value is less than a predetermined threshold (usually 0.05), it is considered statistically significant, suggesting that the null hypothesis is unlikely.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Techniques_to_Decrease_the_p-value\"><\/span>Techniques to Decrease the p-value<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Determining how to decrease the p-value requires careful consideration and adherence to the principles of statistical analysis. Here are a few techniques to consider:<\/p>\n<h3><span class=\"ez-toc-section\" id=\"1_Increase_the_Sample_Size\"><\/span><b>1. Increase the Sample Size<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nIncreasing the sample size enhances statistical power, making it easier to detect smaller effects and reducing the p-value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"2_Enhance_Measurement_Precision\"><\/span><b>2. Enhance Measurement Precision<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nImproving the precision of measurements and reducing measurement errors can increase the statistical power and decrease the p-value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"3_Control_for_Confounding_Variables\"><\/span><b>3. Control for Confounding Variables<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nAccounting for potential confounding variables in your analysis can help limit their impact on the results and reduce the p-value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"4_Use_a_One-tailed_Test\"><\/span><b>4. Use a One-tailed Test<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nIf prior evidence or knowledge suggests the direction of the effect, using a one-tailed test instead of a two-tailed test can decrease the p-value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"5_Conduct_a_Randomized_Controlled_Trial_RCT\"><\/span><b>5. Conduct a Randomized Controlled Trial (RCT)<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nRandomized Controlled Trials provide strong evidence when establishing causation, leading to lower p-values compared to observational studies.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"6_Apply_Correct_Statistical_Tests\"><\/span><b>6. Apply Correct Statistical Tests<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nUsing appropriate statistical tests for your research design and data type is crucial to obtain accurate results and minimize the p-value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"7_Reduce_Variability\"><\/span><b>7. Reduce Variability<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nReducing variability within your data, either by standardizing protocols or using more precise measurement instruments, can decrease the p-value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"8_Consider_Interaction_Effects\"><\/span><b>8. Consider Interaction Effects<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nExplore potential interaction effects between variables, as this can lead to a better understanding of the underlying relationships and decrease the p-value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"9_Apply_appropriate_Transformations\"><\/span><b>9. Apply appropriate Transformations<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nIn some cases, transforming variables (e.g., logarithmic or square root transformation) can help meet assumptions of statistical tests, leading to a decreased p-value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"10_Account_for_Multiple_Comparisons\"><\/span><b>10. Account for Multiple Comparisons<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nWhen conducting multiple comparisons, p-values should be adjusted using methods like Bonferroni correction to control the overall false positive rate.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"11_Consider_the_Effect_Size\"><\/span><b>11. Consider the Effect Size<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nWhile p-values measure statistical significance, the effect size provides information about the practical significance. A large effect size can compensate for a larger p-value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"12_Replicate_the_Study\"><\/span><b>12. Replicate the Study<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nObtaining similar results in independent replications can strengthen the evidence, validate the findings, and decrease the p-value.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions_FAQs\"><\/span>Frequently Asked Questions (FAQs)<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Q1_Can_I_manipulate_my_data_to_decrease_the_p-value\"><\/span>Q1: Can I manipulate my data to decrease the p-value?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nNo, manipulating or falsifying data is unethical and unacceptable. It is important to conduct unbiased and robust research.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q2_Can_changing_the_significance_level_reduce_the_p-value\"><\/span>Q2: Can changing the significance level reduce the p-value?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nTechnically, yes. However, changing the significance level is not advisable as it affects the interpretation and overall credibility of the results.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q3_Is_a_smaller_p-value_always_desirable\"><\/span>Q3: Is a smaller p-value always desirable?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYes, a smaller p-value indicates stronger evidence against the null hypothesis, making the findings more statistically significant.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q4_What_if_my_p-value_remains_high_despite_implementing_these_techniques\"><\/span>Q4: What if my p-value remains high despite implementing these techniques?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nIf the p-value remains high, it may indicate that the data does not strongly support rejecting the null hypothesis, and further investigation or adjustments may be required.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q5_Can_we_guarantee_that_decreasing_the_p-value_will_lead_to_conclusive_results\"><\/span>Q5: Can we guarantee that decreasing the p-value will lead to conclusive results?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nWhile decreasing the p-value increases the significance, it does not guarantee conclusive results. It is important to consider the entire body of evidence and assess its strength collectively.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q6_What_are_some_common_mistakes_that_increase_the_p-value\"><\/span>Q6: What are some common mistakes that increase the p-value?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nCommon mistakes include improper study design, insufficient sample size, failure to control for confounding variables, and incorrect statistical techniques.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q7_What_is_the_relationship_between_statistical_power_and_the_p-value\"><\/span>Q7: What is the relationship between statistical power and the p-value?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nA higher statistical power increases the likelihood of finding significant results and decreases the p-value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q8_Is_it_possible_to_have_a_p-value_of_0\"><\/span>Q8: Is it possible to have a p-value of 0?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nNo, a p-value of 0 signifies perfect precision, which is highly unlikely in real-world scenarios.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q9_Can_outliers_impact_the_p-value\"><\/span>Q9: Can outliers impact the p-value?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYes, outliers can significantly affect the p-value, especially when the sample size is small or the data is sensitive to extreme values.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q10_Is_a_higher_effect_size_always_associated_with_a_lower_p-value\"><\/span>Q10: Is a higher effect size always associated with a lower p-value?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nNot necessarily. While a higher effect size can contribute to a lower p-value, other factors such as sample size and variability also influence the p-value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q11_Are_there_situations_where_increasing_the_p-value_is_desirable\"><\/span>Q11: Are there situations where increasing the p-value is desirable?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nIn some exploratory or descriptive analyses, a larger p-value may still provide valuable insights or highlight areas that require further investigation.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Q12_What_if_my_study_has_conflicting_results_despite_decreasing_the_p-value\"><\/span>Q12: What if my study has conflicting results despite decreasing the p-value?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nConflicting results may arise due to various factors, such as study heterogeneity or a complex research topic. Further research and replication studies are necessary to resolve conflicting findings.<\/p>\n<p>In conclusion, decreasing the p-value involves careful consideration of several factors, including sample size, measurement precision, statistical tests, and study design. While these techniques can enhance the significance of your findings, it is essential to interpret results in the broader context of the research field. By employing robust methodologies, researchers can strengthen their evidence and contribute to meaningful advancements in their respective fields.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In statistical analysis, the p-value is a measure used to determine the strength of evidence against the null hypothesis. Generally, a smaller p-value signifies stronger evidence against the null hypothesis. In this article, we will explore various techniques and considerations to decrease the p-value, thereby increasing the significance of our findings. Understanding the Concept of &#8230; <\/p>\n<p class=\"read-more-container\"><a title=\"How to decrease the p value?\" class=\"read-more button\" href=\"https:\/\/namso-gen.co\/blog\/how-to-decrease-the-p-value\/#more-227659\">Read more<span class=\"screen-reader-text\">How to decrease the p value?<\/span><\/a><\/p>\n","protected":false},"author":57,"featured_media":107420,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[86279],"tags":[],"class_list":["post-227659","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 to decrease the p value?<\/title>\n<meta name=\"description\" content=\"In statistical analysis, the p-value is a measure used to determine the strength of evidence against the null hypothesis. 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