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Q: What do you mean by level of significance?
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How many standard deviations above or below the mean should a score be to establish significance?

It depends on the significance level required. And that, in turn, will depend on the cost of making the wrong decision. For ordinary use, a 95% significance level will require 1.96 sd


Why is the sample standard deviation used to derive the standard error of the mean?

the sample mean is used to derive the significance level.


What is another name for the probability of observing a sample value at least as extreme as a given on under a null hypothesis?

The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis.


What is the p-value if 0.01 is the level of significance and the mean is 18688 and the standard deviation is 15500?

In order to solve this you need the null hypothesis value also level of significance only helps you decide whether or not to reject the null hypothesis, is the p-value is above this then you do not reject the null hypothesis, if it is below you reject the null hypothesis Level of significance has nothing to do with the math


Are all scientific hypotheses tested at 1 level of significance?

No, not all scientific hypotheses which are tested at level 1 are of significance.


How can you explain the significance level of at statistics?

Significance Level (Alpha Level): If the level is set a .05, it means the statistician is acknowledging that there is a 5% chance the results of the findings will lead them to an incorrect conclusion.


What is the importance of the level of significance of study findings in a quantitative research report?

What is the importance of the level of significance of study findings in a quantitative research report


Why null hypothesis it is tested at 0.05 level of significance?

A significance level of 0.05 is commonly used in hypothesis testing as it provides a balance between Type I and Type II errors. Setting the significance level at 0.05 means that there is a 5% chance of rejecting the null hypothesis when it is actually true. This level is widely accepted in many fields as a standard threshold for determining statistical significance.


Confidence level and significance level?

The confidence level is the probability that the true value of a parameter lies within the confidence interval. It is typically set at 95% in statistical analysis. The significance level is the probability of making a Type I error, which is mistakenly rejecting a true null hypothesis. It is commonly set at 0.05.


Why is the level of significance always small?

The significance level is always small because significance levels tell you if you can reject the null-hypothesis or if you cannot reject the null-hypothesis in a hypothesis test. The thought behind this is that if your p-value, or the probability of getting a value at least as extreme as the one observed, is smaller than the significance level, then the null hypothesis can be rejected. If the significance level was larger, then statisticians would reject the accuracy of hypotheses without proper reason.


What is the significance between science and technology?

Depends on what you mean by significance.


What is the significance of the great sphinx at Giza?

what do you mean by significance?