## Support or Reject Null Hypothesis

### How to find null hypothesis in an article

Now that you have identified the null and alternative hypotheses, you need to find evidence and develop a strategy for declaring your "support" for either the null or alternative hypothesis. We can do this using some statistical theory and some arbitrary cut-off points. Both these issues are dealt with next.

### How to find null hypothesis in an article

**For claims about a population mean from a population with a or for any sample with large sample size (for which the sample mean will follow a normal distribution by the ) with unknown standard deviation, the appropriate significance test is known as the , where the teststatistic is defined as t = .**The test statistic follows the distribution with degrees of freedom.

This number, 0.030, is the *P* value. It is defined as the probability of getting the observed result, or a more extreme result, if the null hypothesis is true. So "*P*=0.030" is a shorthand way of saying "The probability of getting 17 or fewer male chickens out of 48 total chickens, *IF* the null hypothesis is true that 50% of chickens are male, is 0.030."

## Hypothesis testing is vital to test patient outcomes.

If your test statistic is positive, first find the probability that is greater than your test statistic (look up your test statistic on the -table, find its corresponding probability, and subtract it from one). Then double this result to get thevalue.

## That’s How to State the Null Hypothesis!

When we were constructing confidence intervals, it mattered whether the data were drawn from normally distributed populations, whether the population standard deviations were equal, and whether the sample sizes were large or small, The answers to these questions helped us determine the proper multiplier for the standard error. The same considerations apply to significance tests. The answers determine the critical value of for a result to be declared statistically significant.

## Hypothesis Testing - Signifinance ..

**State the null hypothesis.** When you state the null hypothesis, you also have to state the alternate hypothesis. Sometimes it is easier to state the alternate hypothesis first, because that’s the researcher’s thoughts about the experiment. (opens in a new window).

## 3.2 - Hypothesis Testing (P-value approach) | Statistics

The null hypothesis can be thought of as a *nullifiable *hypothesis. That means you can nullify it, or reject it. What happens if you reject the null hypothesis? It gets replaced with the which is what you think might actually be true about a situation. For example, let’s say you think that a certain drug might be responsible for a spate of recent heart attacks. The drug company thinks the drug is safe. The null hypothesis is always the accepted hypothesis; in this example, the drug is on the market, people are using it, and it’s generally accepted to be safe. Therefore, the null hypothesis is that the drug is safe. The alternate hypothesis — the one you want to replace the null hypothesis, is that the drug *isn’t* safe. Rejecting the null hypothesis in this case means that you will have to prove that the drug is not safe.

## reject the null hypothesis in favor of the alternative hypothesis.

The null hypothesis claims that there is no difference between the meanscore for female students and the mean for the entire population, so that = 70.