{"id":262664,"date":"2024-05-30T01:47:23","date_gmt":"2024-05-30T01:47:23","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=262664"},"modified":"2024-05-30T01:47:23","modified_gmt":"2024-05-30T01:47:23","slug":"does-a-001-p-value-accept-or-reject-hypothesis-2","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/does-a-001-p-value-accept-or-reject-hypothesis-2\/","title":{"rendered":"Does a .001 p-value accept or reject hypothesis?"},"content":{"rendered":"

**Does a .001 p-value accept or reject hypothesis?**<\/p>\n

The p-value is a statistical measure used in hypothesis testing to determine the likelihood of obtaining the observed results under the assumption that the null hypothesis is true. A p-value of .001 indicates that there is only a 0.1% chance of observing these results or more extreme if the null hypothesis is true. <\/p>\n

**Therefore, a .001 p-value typically leads us to reject the null hypothesis and accept the alternative hypothesis.** This means that there is strong evidence against the null hypothesis, indicating that there is a significant relationship or effect.<\/p>\n

Now, let’s explore some frequently asked questions related to p-values and hypothesis testing:<\/p>\n

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