What Does No Significant Mean This common statistical error comes about when comparisons are summarised by declarations of statistical significance and results are sharply distinguished between significant and not significant
If both of these tests are significant then you have rejected the hypothesis that the true value is outside the interval you care about If one or both are non significant you fail to reject the Not significant means didn t reach the confidence threshold your results could be significant but also insignificant confident but not important or your observations could be significant but not significant important but not
What Does No Significant Mean
What Does No Significant Mean
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What it really means when No significant differences were found The trick is what happens when the differences between the groups aren t large enough to find a statistically If the p value the result is not statistically significant and the null hypothesis is not rejected For instance if you set a significance level of 0 05 and obtain a p value of 0 03
You didn t get significant results Now you may be asking yourself What do I do now What went wrong How do I fix my study One of the most common concerns that I see from students is about what to do when they find non Non significant results could be due to many things including a small effect or low statistical power of the experiment Additionally significant results are often interpreted or over interpreted as
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When a significance test results in a high probability value it means that the data provide little or no evidence that the null hypothesis is false However the high probability Statistical significance is so commonly misreported and misinterpreted that we recommend that terms such as not significant not statistically significant significant statistically
When researchers fail to find a statistically significant result it s often treated as exactly that a failure Non significant results are difficult to publish in scientific journals and We concluded that the treatment had an effect if the value of this test statistic was bigger than 95 of the values that would occur if the treatment had no effect When this is so it is
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This common statistical error comes about when comparisons are summarised by declarations of statistical significance and results are sharply distinguished between significant and not significant
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If both of these tests are significant then you have rejected the hypothesis that the true value is outside the interval you care about If one or both are non significant you fail to reject the

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What Does No Significant Mean - You didn t get significant results Now you may be asking yourself What do I do now What went wrong How do I fix my study One of the most common concerns that I see from students is about what to do when they find non