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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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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.
What is a Alpha Value?
The level of significance; that is the probability that a statistical test will give a false positive error.
What is the difference between ethical value and value?
search
The difference between an observed or calculated value and a true value?
error
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 difference between importance and purpose?
There is a very clear difference between importance and purpose. Importance means the significance or value of something while purpose is the objective or goal that you intend to achieve.
0.02 level of significance what is the critical value?
0.02
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 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
What the difference between actual value and earned value?
The difference between the Actual Value & Earned Value is the Project Cost Variance
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?
search
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.
