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What is the critical value of an inferential statistic and how does it relate to the alpha level?
Wiki User
∙ 10y ago
For an inferential statistic such as a one-sided t, an F or a chi-square test, a critical value is the number above which a fraction of the values of the inference statistics equal to the alpha level would fall on repeated trials if the null hypothesis were true.
For example, suppose the research has chosen an alpha level of 0.05. She has a sample size of 11 and will be using a one-sided t-statistic because she is interested in deciding whether the mean of the population from which she has drawn her sample exceeds a certain given value. The critical value for a t-test in this situation is about 1.8 because about 0.05 of the time anyone could take a sample of size 11 from a population with a known mean and find that the t-statistic calculated for the sample exceeds 1.8.
Wiki User
∙ 10y ago
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What is the critical z value of a two-tailed test with alpha 0.005?
-2.58,2.58
Does standard deviation effect the alpha level?
Yes.For some tests, such as the Fisher F-test, the test statistic is an estimate of the variance. If the alpha level was not affected, the test would be no use at all!Yes.For some tests, such as the Fisher F-test, the test statistic is an estimate of the variance. If the alpha level was not affected, the test would be no use at all!Yes.For some tests, such as the Fisher F-test, the test statistic is an estimate of the variance. If the alpha level was not affected, the test would be no use at all!Yes.For some tests, such as the Fisher F-test, the test statistic is an estimate of the variance. If the alpha level was not affected, the test would be no use at all!
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.
Is alpha the probability that the test statistic would assume a value as or more extreme than the observed value of the test?
Alpha is the probability that the test statistics would assume a value as or more extreme than the observed value of the test, BY PURE CHANCE, WHEN THE NULL HYPOTHESIS IS TRUE.
What is the characteristics of alpha beta and gamma?
charactrestic of alpha
How do atlas and alpha kappa alpha relate?
Alpha Kappa Alpha Sorority Incorporated employs Atlas of Greek mythology to symbolize her endurance and strength.
If the alpha level is increased from alpha 01 to alpha 05 what happens to the size of the critical region?
I f alpha increases the power is also increases.
How do you perform a Statistical Hypothesis Testing?
To start with you select your hypothesis and its opposite: the null and alternative hypotheses. You select a confidence level (alpha %), which is the probability that your testing procedure rejects the null hypothesis when, if fact, it is true.Next you select a test statistic and calculate its probability distribution under the two hypotheses. You then find the possible values of the test statistic which, if the null hypothesis were true, would only occur alpha % of the times. This is called the critical region.Carry out the trial and collect data. Calculate the value of the test statistic. If it lies in the critical region then you reject the null hypothesis and go with the alternative hypothesis. If the test statistic does not lie in the critical region then you have no evidence to reject the null hypothesis.
What is the critical z value of a two-tailed test with alpha 0.005?
-2.58,2.58
Which statistics will apply to deuteron and alpha particles?
B-E Statistic
Does standard deviation effect the alpha level?
Yes.For some tests, such as the Fisher F-test, the test statistic is an estimate of the variance. If the alpha level was not affected, the test would be no use at all!Yes.For some tests, such as the Fisher F-test, the test statistic is an estimate of the variance. If the alpha level was not affected, the test would be no use at all!Yes.For some tests, such as the Fisher F-test, the test statistic is an estimate of the variance. If the alpha level was not affected, the test would be no use at all!Yes.For some tests, such as the Fisher F-test, the test statistic is an estimate of the variance. If the alpha level was not affected, the test would be no use at all!
.01 criterion of significance what is the percent type you error?
I believe you are asking about hypothesis testing, where we choose an alpha value, (also called a signifance level). Thus, I will rephrase your question as follows: If I choose an alpha value of 0.01, what percent of time do you expect the come to an erroneous conclusion, that is test statistic to fall out of the critical region yet the null hypothesis is true? The answer is 1% of the time, an incorrect rejection of the null hypotheis, which is a type I error.
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.
How do sphinx and alpha phi alpha relate?
In answering this question, I would call your attention to pp. 261-262 of the Alpha Phi Alpha history book. And I quote James White, Jr., Alpha Phi Alpha, Epsilon Chapter, April 14, 1973:"To the Alpha Phi Alpha brotherhood, African history and civilization, the Sphinx, an Ethiopian tradition bring new meanings and these are being interpreted with new significance to others. As Americans of European parentage point with pride to the ancestral history of their people, so Alpha Phi Alpha would have the Negroes of America look with pride upon African civilization with its kingdoms, its governments and its laws, its social institutions, its buildings and roads, and its evidences of indigenous progress, unaffected as it was, by outside influences."
What would you do to the alpha level?
The alpha level is the level decided before inferential statistic tests are run at which the null hypothesis may be rejected. The null hypothesis basically states that there is no difference or that a certain claim is true. For example, somebody may say the mean of a population is 50. If we test a sample and find a sample mean different from 50, we may question if the mean of the population really is people. Based on a normal distribution curve, we find how likely it is that we got the result we did assuming the mean really was 50. The alpha level would be determined before hand. If we set the alpha level at .05 and found our result would only occur in 3% of cases if the mean were really 50, we would reject the null hypothesis (In this example the null hypothesis states that the mean is 50). Depending on how important it is to have accurate data, the alpha level may be higher or lower. If in our example the alpha level was .01, the data would not be significant and we would fail to reject the null hypothesis because 3% is greater than 1%.
Who is the brother fraternity of alpha kappa alpha?
Alpha Phi Alpha
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.
