Table of Contents

## Is 0.3 A significant p-value?

If the p-value is less than 0.05, we reject the null hypothesis that there's no difference between the means and conclude that a significant difference does exist. If the p-value is larger than 0.05, we cannot conclude that a significant difference exists. That's pretty straightforward, right? **Below 0.05, significant.**

## Is P 0.003 statistically significant?

**The p value of .** **003 is statistically significant**. Following, the odds ratio of 69 with a p value of . 001 (95%CI of 8.39- 567.5) would also be statistically significant but the Confidence Interval does open concern.

## Is P 0.02 statistically significant?

The smaller the p-value the greater the discrepancy: “If p is between 0.1 and 0.9, there is certainly no reason to suspect the hypothesis tested, but **if it is below 0.02, it strongly indicates that the hypothesis fails to account for the entire facts**.

## What does p-value 0.08 mean?

A p-value of 0.08 being more than the benchmark of 0.05 indicates non-significance of the test. This means that the null hypothesis cannot be rejected.

## What does a 0.04 p-value mean?

In this context, what P = 0.04 (i.e., 4%) means is that if the null hypothesis is true and if you perform the study a large number of times and in exactly the same manner, drawing random samples from the population on each occasion, then, on 4% of occasions, you would get the same or greater difference between groups

## What does a .3 p-value mean?

The lower the p-value, the more meaningful the result because it is less likely to be caused by noise. There's a common misinterpretation of p-value for most people in our case: The p-value 0.03 means that there's 3% (probability in percentage) that the result is due to chance — which is not true.

## What does p-value of 0.01 mean?

eg the p-value = 0.01, it means if you reproduced the experiment (with the same conditions) 100 times, and assuming the null hypothesis is true, you would see the results only 1 time. OR in the case that the null hypothesis is true, there's only a 1% chance of seeing the results.

## What does the p-value of 0.03 indicates Mcq?

If the P-value of a given test statistic is 0.03 then, (A) It is unlikely that the extremeness of the test statistic is due to chance. answer: (B) Assuming the null hypothesis is true, there is a 3% chance of getting a more extreme test statistic.

## What does p-value of 0.1 mean?

The smaller the p-value, the stronger the evidence for rejecting the H_{0}. This leads to the guidelines of p < 0.001 indicating very strong evidence against H_{0}, p < 0.01 strong evidence, p < 0.05 moderate evidence, p < 0.1 weak evidence or a trend, and p ≥ 0.1 indicating insufficient evidence[1].

## Is 0.001 statistically significant?

In some rare situations, 10% level of significance is also used. Statistical inferences indicating the strength of the evidence corresponding to different values of p are explained as under: Conventionally, p < 0.05 is referred as statistically significant and p < 0.001 as statistically highly significant.

## What does a small p-value mean?

A low p-value shows that the results are replicable. A low p-value shows that the effect is large or that the result is of major theoretical, clinical or practical importance. A non-significant result, leading us not to reject the null hypothesis, is evidence that the null hypothesis is true.