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Reject Ho or do not reject H0?
Rejecting or Failing to reject the Null Hypothesis (Ho) depends of the P-Value. Generally, the P-value (probability( Observation | Ho ) ) is around .05, thus minimizing the Type 1 error rate. If the P-value < Alpha , you would reject the Ho, and instead believe the Ha (Alternative Hypothesis), and if the P-value > Alpha, you would Fail to reject the Ho because there is not enough evidence to believe the Ha.
If we reject the null hypothesis what can we conclude about the alpha risk?
If we reject the null hypothesis, we conclude that the alternative hypothesis which is the alpha risk is true. The null hypothesis is used in statistics.
Can you not reject null hypothesis?
you do not need to reject a null hypothesis. If you don not that means "we retain the null hypothesis." we retain the null hypothesis when the p-value is large but you have to compare the p-values with alpha levels of .01,.1, and .05 (most common alpha levels). If p-value is above alpha levels then we fail to reject the null hypothesis. retaining the null hypothesis means that we have evidence that something is going to occur (depending on the question)
What happens when p value is equal to alpha value?
You chose whether or ot to reject the null hypothesis. Or you repeat the experiment.
What is the abstract noun for reject?
The word 'reject' is both a verb and a noun.The noun 'reject' is a concrete or abstract noun depending on context.The noun 'reject' is a concrete noun as a word for a person or a physical thing dismissed or rejected.The noun 'reject' is an abstract noun as a word for an idea or a concept dismissed or discarded.The abstract noun forms of the verb to reject are rejection and the gerund, rejecting (words for a process).
Reject Ho or do not reject H0?
Rejecting or Failing to reject the Null Hypothesis (Ho) depends of the P-Value. Generally, the P-value (probability( Observation | Ho ) ) is around .05, thus minimizing the Type 1 error rate. If the P-value < Alpha , you would reject the Ho, and instead believe the Ha (Alternative Hypothesis), and if the P-value > Alpha, you would Fail to reject the Ho because there is not enough evidence to believe the Ha.
If we reject the null hypothesis what can we conclude about the alpha risk?
If we reject the null hypothesis, we conclude that the alternative hypothesis which is the alpha risk is true. The null hypothesis is used in statistics.
Would I accept or reject the null hypothesis if the probability of the obtained statistic is 0.001 and alpha is 0.05?
You should reject the null hypothesis.
Can you not reject null hypothesis?
you do not need to reject a null hypothesis. If you don not that means "we retain the null hypothesis." we retain the null hypothesis when the p-value is large but you have to compare the p-values with alpha levels of .01,.1, and .05 (most common alpha levels). If p-value is above alpha levels then we fail to reject the null hypothesis. retaining the null hypothesis means that we have evidence that something is going to occur (depending on the question)
If your p-value is .7712 do you reject the hypothesis at 10 percent level of statistical significance If so is there a relationship in the test?
u reject if P-Value is < significance level. so since .7712 > .10 u fail to reject! remember this: "if P is high Ho will fly nd if P is low Ho must go" Help by USman Noor
What happens when p value is equal to alpha value?
You chose whether or ot to reject the null hypothesis. Or you repeat the experiment.
In Soul-silver how do you complete the Ho-oh puzzle in the ruins of alpha?
its easy get a picture of ho-oh from the internet or a book and piece together the ieces or you can just guess for 5 hours like i did.
If the alpha level is increased from alpha 01 to alpha 05 what happens to the size of the critical region?
If the alpha level is increased from 0.01 to 0.05, the size of the critical region expands. This means that it becomes more likely to reject the null hypothesis and make a Type I error. Increasing the alpha level makes the test more liberal and increases the chances of detecting a significant result when one may not truly exist.
What is the probability of making a Type II error if the null hypothesis is actually true?
zero. We have a sample from which a statistic is calculated and will challenge our held belief or "status quo" or null hypothesis. Now you present a case where the null hypothesis is true, so the only possible error we could make is to reject the null hypothesis- a type I error. Hypothesis testing generally sets a criteria for the test statistic to reject Ho or fail to reject Ho, so both type 1 and 2 errors are possible.
Can you go to Navel Rock Island in Pokemon Omega Ruby and Alpha Sapphire?
No, Navel Rock cannot be accessed in Pokemon Omega Ruby and Alpha Sapphire. Lugia or Ho-oh appears in Sea Mauville on the Abandoned Ship after getting the Scanner.
If a null hypothesis is not rejected at the 0.10 level can it may be rejected at the 0.05 level?
No, because 0.05 is a stricter alpha level than 0.10. 0.05 means you are allowing for 5% error, and 0.10 means 10% error. Therefore if you can not reject it at 0.10 then you can not reject it at either 0.05 or 0.01.
9.64 An auditor reviewed 25 oral surgery insurance claims from a particular surgical office determining that the mean out-of-pocket patient billing above the reimbursed amount was 275.66 with a Stan?
Ho: mu= 250 Ha: mu > 250 Critical value for alpha = 5% and df = 24 is t = 1.711 Test statistic: t(275.66) = (275.66-250)/[78.11/sqrt(25)] = 25.66*5/78.11 = 1.643 Since the test statistic is less than the critical value Fail to reject Ho. ------------------------------- (b) Is this a close decision? The p-value for t= 1.643 is 0.05675... Very close to 5% which is the breakpoint for deciding rejection of Ho.
