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P- value is the probability that the given null hypothesis is true and the level of significance is the chance in a hundred or thousand off occurence of an event i an outcome

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Q: Difference between p value and level of significance?
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If the 2-tailed value is .0001 then what is the significance level why?

if 0.01 significance value show ztab value to be 2.33 howw actually this is computed?


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


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.


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 the difference between actual value and earned value?

The difference between the Actual Value & Earned Value is the Project Cost Variance


What is the difference between the place value and face value of 9 in 309812?

the DIFFERENCE between the place value and the face value is 991


How do you know when there is a significant difference in statistics?

In statistics, a significant difference is typically determined through hypothesis testing. This involves comparing the observed data with what would be expected by chance alone. If the difference between the observed data and what is expected by chance is large enough, it is considered statistically significant. This is typically determined by calculating a p-value, with a lower p-value indicating a higher level of statistical significance.


In scientific method An hypothesis is accepted when it is above the cut-off value and it is rejected when it is below the cut-off value. If our statistical analysis shows that the significance level i?

If the statistical analysis shows that the significance level is below the predetermined alpha level (cut-off value), then the hypothesis is rejected. This suggests that there is enough evidence to believe that the results are not due to random chance. If the significance level is above the alpha level, then the hypothesis is accepted, indicating that the results are not statistically significant and may be due to random variation.


What is a Alpha Value?

The level of significance; that is the probability that a statistical test will give a false positive error.


The relationship between the value of money and the price level?

There is an inverse relationship between value of money and the price level. So if the value of money is low, then the price level is high or if the value of money is high, then the price level is low.


What is the difference between ethical value and value?

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The difference between what the workers produce and what they earn is surplus value?

Surplus value is the difference between the value that workers produce and what they are paid in wages.