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# Can the p-value be 0?

**It is incorrect that the p-value will never be « 0 »**…some statistical software such as SPSS sometimes gives p-values. 000 which is impossible, must be treated as p< . 001, i.e. the null hypothesis is rejected (the test is statistically significant).

## Is a p-value of 0.000 significant?

If the p-value is less than the significance level, we **reject** null hypothesis. So when you get a p-value of 0.000, you should compare it to the significance level. …since 0.000 is below all of these significance levels, we will reject the null hypothesis in each case.

## What does it mean when p is 0?

If P=0, subtract it from 100% and you are **100% confident** The data you tested is statistically significant. Reject NULL (no difference) and accept the alternative (difference) P=0.05, then you are 95% confident that the data is statistical.

## Can a p-value in Anova be 0?

**True zero p-values are possible**, but not in any context you might see. This means that « under the null hypothesis, this evidence is practically impossible ». Example: If your null is « no unicorn exists » and you observe one, then your p-value = 0.

## What would you write when the p value is 0?

Most statisticians write 0.000 as a P value**= 0.001**. Muhammad’s answer is wrong. P=0.000 means P<0.0005。 iF P>=0.0005, p=0.0001.

## P-value = .000? ? ?What to do when the p-value is reported as 0.000

**34 related questions found**

## What is an example of a p-value?

Definition of P value

p-values are used in hypothesis testing to help you support or reject the null hypothesis. p value **Evidence against the null hypothesis**. . . For example, an ap value of 0.0254 is 2.54%. This means that there is a 2.54% chance that your result is random (ie happens by chance).

## Are the p-values statistically significant?

One **p-values less than 0.05 (usually ≤ 0.05) are statistically significant**… p-values above 0.05 (> 0.05) are not statistically significant, indicating strong evidence for the null hypothesis. This means that we keep the null hypothesis and reject the alternative hypothesis.

## What does a p-value of 0.01 mean?

The p-value measures how much evidence we have against the null hypothesis. … under normal circumstances, a p-value less than 0.01 means that **There is substantial evidence against the null hypothesis**.

## What does a p-value of 0.5 mean?

Mathematical probabilities like p-values range from 0 (no chance) to 1 (absolute certainty).So 0.5 means **50% chance** 0.05 means a 5% chance. …results were considered statistically significant if p-values were below .01, and highly statistically significant if they were below .005.

## What does the p-value of ANOVA mean?

One-way ANOVA for F-values is a tool that helps you answer the question « Are the variances between the means of two populations significantly different? » The F value in the ANOVA test also determines the P value; the P value **the probability of getting an outcome that is at least as extreme as the actually observed outcome,** …

## Can the p-value be 1?

As a probability, **P can take any value between 0 and 1**. A value close to 0 indicates that the observed difference is unlikely to be due to chance, while a P value close to 1 indicates that there is no difference between groups other than chance.

## Why is my p-value so low?

very small p-value **Indicates that the null hypothesis is very incompatible with the collected data**. … a small P-value may simply be due to a very large sample size, regardless of effect size. A P value >0.05 does not mean that no effect was observed, or that the effect size is small.

## Can the p-value be greater than 1?

no, one **p-value cannot be greater than one**.

## Why is my p-value so high?

A high p-value indicates that **Your evidence is insufficient to suggest an effect in the population**. There may be an effect, but it may be that the effect size is too small, the sample size is too small, or the variability of the hypothesis test is too large to detect it.

## What does a chi-square significance value of P = 0.05 mean?

What is the significant p-value for chi-square? The likelihood chi-square statistic is 11.816, p-value = 0.019. Therefore, at a significance level of 0.05, you can draw the following conclusions: **The association between the variables is statistically significant**.

## How do you reject the null hypothesis with a p-value?

if **p-value less than 0.05**, we reject the null hypothesis that there is no difference between the means and conclude that there is a significant difference. If the p-value is greater than 0.05, we cannot conclude that there is a significant difference. It’s simple, right? Below 0.05, it is significant.

## What does a p-value of 0.2 mean?

If p-value = 0.2, then there is **The probability of the null hypothesis is 20%** is correct? . … The P-value is a statistical measure with its own strengths and weaknesses that should be considered to avoid misuse and misunderstanding (12).

## What does a p-value of 0.08 mean?

A p-value of 0.08 greater than a benchmark of 0.05 indicates that the test is not significant.this means **The null hypothesis cannot be rejected**…so if your p-value is less than your alpha error, you can reject the null hypothesis and accept the alternative.

## What does a p-value of 0.04 mean?

In this case, P = 0.04 (or 4%) means that **If the null hypothesis is true** If you conduct the study in the exact same way multiple times, each time taking a random sample from the population, then in 4% of cases you will get the same or greater difference between groups…

## How to calculate p-value?

If your test counts positive, first **Find the probability that Z is greater than** Your test statistic (look up your test statistic on the Z-table, find its corresponding probability, and subtract it from it). This result is then doubled to obtain a p-value.

## What affects the p-value?

The p-value is affected by **sample size**. The larger the sample size, the smaller the p-value. …increasing the sample size results in a smaller P-value only if the null hypothesis is false.

## What is a p-value in plain English?

From Simple English Wikipedia, the free encyclopedia.In statistics, the p-value is **Probability of the null hypothesis** (The theory being tested is a false idea) to make a particular experimental result happen. p-values are also known as probability values.

## What is a p-value table?

The p-value or probability value is **A number describing how likely your data is to occur under the null hypothesis of a statistical test**…they can also be estimated using a table of p-values for the relevant test statistic. P-values are calculated from the null distribution of the test statistic.

## What is a p-value in a normal distribution?

Normal distribution: An approximate representation of data in hypothesis testing. p-value: **The probability that an outcome at least as extreme as the observed outcome occurs if the null hypothesis is true**.

## What does a p-value greater than 0.05 mean?

P > 0.05 is the probability that the null hypothesis is true. 1 minus the P value is the probability that the alternative hypothesis is true. A statistically significant test result (P ≤ 0.05) means that the test hypothesis is false or should be rejected. AP value greater than 0.05 means **No effect observed**.