# Question: Is P 0.01 Statistically Significant?

## What does P value signify?

In statistics, the p-value is the probability of obtaining results as extreme as the observed results of a statistical hypothesis test, assuming that the null hypothesis is correct.

A smaller p-value means that there is stronger evidence in favor of the alternative hypothesis..

## What does P 0.01 mean?

The p-value is a measure of how much evidence we have against the null hypothesis. The most important thing to remember about the p-value is that it is used to test hypotheses. … A p-value less than 0.01 will under normal circumstances mean that there is substantial evidence against the null hypothesis.

## What does P .05 mean?

statistically significant05 mean? Statistical significance, often represented by the term p < . 05, has a very straightforward meaning. If a finding is said to be “statistically significant,” that simply means that the pattern of findings found in a study is likely to generalize to the broader population of interest. That is it.

## What does P value of 0.000 mean?

If the statistical software renders a p value of 0.000 it means that the value is very low, with many “0” before any other digit. In SPSS for example, you can double click on it and it will show you the actual value.

## What does P value of 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.

## Why do we reject the null hypothesis when the p value is small?

A low p value means that the sample result would be unlikely if the null hypothesis were true and leads to the rejection of the null hypothesis. … If there is less than a 5% chance of a result as extreme as the sample result if the null hypothesis were true, then the null hypothesis is rejected.

## Can P values be greater than 1?

A p-value tells you the probability of having a result that is equal to or greater than the result you achieved under your specific hypothesis. … A p-value higher than one would mean a probability greater than 100% and this can’t occur.

## What does P .001 mean in statistics?

In economics and most of the social sciences what a p-value of . 001 really means is that assuming everything else in the model is correctly specified the probability that such a result could have happened by chance is only 0.1%. … A highly statistically significant result does not tell you that a result is robust.

## What does P value tell you?

When you perform a hypothesis test in statistics, a p-value helps you determine the significance of your results. … The p-value is a number between 0 and 1 and interpreted in the following way: A small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, so you reject the null hypothesis.

## What does P value of 0.2 mean?

If p-value = 0.2, there is a 20% chance that the null hypothesis is correct?. P-value = 0.02 means that the probability of a type I error is 2%‏. P-value is a statistical index and has its own strengths and weaknesses, which should be considered to avoid its misuse and misinterpretation(12).

## What does P value of 0.02 mean?

“A p-value is the probability of seeing something as extreme as was observed, if the model were true.” … If we get a p-value of 0.02 and we’re using 0.05 as our alpha level, we would reject the hypothesis that the population means are equal.

## What if P value is 0?

The level of statistical significance is often expressed as a p-value between 0 and 1. … A p-value less than 0.05 (typically ≤ 0.05) is statistically significant. It indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null is correct (and the results are random).

## Is P 0.02 statistically significant?

Let us consider that the appropriate statistical test is applied and the P-value obtained is 0.02. Conventionally, the P-value for statistical significance is defined as P < 0.05. ... Many published statistical analyses quote P-values as ≥0.05 (not significant), <0.05 (significant), <0.01 (highly significant) etc.

## Is P 0.03 statistically significant?

The level of statistical significance is often expressed as the so-called p-value. … So, you might get a p-value such as 0.03 (i.e., p = . 03). This means that there is a 3% chance of finding a difference as large as (or larger than) the one in your study given that the null hypothesis is true.