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Reject Null Hypothesis Chi Square Spss

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. However, you want to know whether this is "statistically significant". Typically, if there was a 5% or less chance (5 times in 100 or less) that the difference in the mean exam performance between the two teaching methods (or whatever statistic you are using) is as different as observed given the null hypothesis is true, you would reject the null hypothesis and accept the alternative hypothesis. Alternately, if the chance was greater than 5% (5 times in 100 or more), you would fail to reject the null hypothesis and would not accept the alternative hypothesis. As such, in this example where p = .03, we would reject the null hypothesis and accept the alternative hypothesis. We reject it because at a significance level of 0.03 (i.e., less than a 5% chance), the result we obtained could happen too frequently for us to be confident that it was the two teaching methods that had an effect on exam performance.

Null and Alternative Hypothesis | Real Statistics Using …

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Chi-square and F Distributions | Real Statistics Using Excel

02/10/2015 · State if you would accept or reject the null hypothesis based on the chi square from BIOLOGY 1110 at College of DuPage

After you do a statistical test, you are either going to reject or accept the null hypothesis. Rejecting the null hypothesis means that you conclude that the null hypothesis is not true; in our chicken sex example, you would conclude that the true proportion of male chicks, if you gave chocolate to an infinite number of chicken mothers, would be less than 50%.

Hypothesis testing - Handbook of Biological Statistics

Based on the outcome of the chi-square test we will either reject or fail to reject the null hypothesis

The Structure of Hypothesis Testing with Chi-Square The Structure of Hypothesis Testing with Chi-Square. that we can reject the null hypothesis and assume Chi Square.
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