# How does the evidence support the claim?

## How does the evidence support the claim?

Evidence serves as support for the reasons offered and helps compel audiences to accept claims. Evidence comes in different sorts, and it tends to vary from one academic field or subject of argument to another. In a public speech, they offer audiences a way to see an idea illustrated in a particular case.

## How do you include evidence?

To introduce evidence in an essay, start by establishing a claim or idea in the first sentence of the paragraph, then present the evidence to support your claim. Always analyze the evidence once you have presented it so the reader understands its value.

## What is an example of strong evidence?

Strong evidence may include: Statistics. Studies. Quotes (from subject matter experts, from articles or reports by credible sources)

## How do you know when there is sufficient evidence in statistics?

If the p-value is less than α, we reject the null hypothesis. If the probability is too small (less than the level of significance), then we believe we have enough statistical evidence to reject the null hypothesis and support the alternative claim.

## Is h0 the claim?

A null hypothesis, H0, is the claim tested by a statistical test. My null hypothesis is the same as your claim.

## When you reject the null hypothesis is there sufficient evidence?

Failing to reject the null indicates that our sample did not provide sufficient evidence to conclude that the effect exists. However, at the same time, that lack of evidence doesn’t prove that the effect does not exist.

## How do you state reject the null hypothesis?

Set the significance level, , the probability of making a Type I error to be small — 0.01, 0.05, or 0.10. Compare the P-value to . If the P-value is less than (or equal to) , reject the null hypothesis in favor of the alternative hypothesis. If the P-value is greater than , do not reject the null hypothesis.

## Is it good to reject the null hypothesis?

Null hypothesis are never accepted. We either reject them or fail to reject them. Hence, failing to reject the null hypothesis does not mean that we have shown that there is no difference (accept the null hypothesis).