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If the difference between the observed and expected frequencies if the critical value is 9.488 and the computed value is 6.079 do you reject or do not reject the null hypothesis?
Wiki User
∙ 14y ago
Not enough information - nature of step progression towards critical value has to be specified (sample size, linear vs. logarithmic vs. whatever, etc.).
Wiki User
∙ 14y ago
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What does the critical value represent?
The critical value is used to test a null hypothesis against an alternative hypothesis at some pre-defined level of significance. A test statistic is calculated from the outcomes of a set of trials and if this test statistic is more extreme than the critical value then the null hypothesis must be rejected in favour of the alternative.
How do you find the critical value in statistics?
To find the critical value in statistics, it requires a hypothesis testing. Using the critical value approach can also be helpful in this matter.
What is the difference between Z-Test and The Z-score?
The Z-score is just the score. The Z-test uses the Z-score to compare to the critical value. That is then used to establish if the null hypothesis is refused.
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 are the critical z-values ofr a two-tailed hypothesis test if the significant level equals 0.01?
2.58
How is the critical region utilized in hypothesis testing?
When you formulate and test a statistical hypothesis, you compute a test statistic (a numerical value using a formula depending on the test). If the test statistic falls in the critical region, it leads us to reject our hypothesis. If it does not fall in the critical region, we do not reject our hypothesis. The critical region is a numerical interval.
Is the critical region the values of the test statistics for which the null hypothesis will reject?
The null hypothesis will not reject - it is a hypothesis and is not capable of rejecting anything. The critical region consists of the values of the test statistic where YOU will reject the null hypothesis in favour of the expressed alternative hypothesis.
What is the critical ratio?
Critical Ratio is an index number computed by dividing the time remaining until due date by the work time remaining. As opposed to priority rules, critical ratio is dynamic and easily
What does the critical value represent?
The critical value is used to test a null hypothesis against an alternative hypothesis at some pre-defined level of significance. A test statistic is calculated from the outcomes of a set of trials and if this test statistic is more extreme than the critical value then the null hypothesis must be rejected in favour of the alternative.
What could be the hypothesis for an experiment which finds that teens who play video games have increased critical thinking skills?
Hypothesis: Video games provide a useful form of mental exercise. Hypothesis: Teens who play video games have increased critical thinking skills.
When can a null hypothesis be rejected?
Usually when the test statistic is in the critical region.
How do you find the critical value in statistics?
To find the critical value in statistics, it requires a hypothesis testing. Using the critical value approach can also be helpful in this matter.
What is the difference between a test statistic and a critical value?
A test statistic is a value calculated from a set of observations. A critical value depends on a null hypothesis about the distribution of the variable and the degree of certainty required from the test. Given a null hypothesis it may be possible to calculate the distribution of the test statistic. Then, given an alternative hypothesis, it is may be possible to calculate the probability of the test statistic taking the observed (or more extreme) value under the null hypothesis and the alternative. Finally, you need the degree of certainty required from the test and this will determine the value such that if the test statistic is more extreme than the critical value, it is unlikely that the observations are consistent with the hypothesis so it must be rejected in favour of the alternative hypothesis. It may not always be possible to calculate the distribution function for the variable.
What is the difference between Z-Test and The Z-score?
The Z-score is just the score. The Z-test uses the Z-score to compare to the critical value. That is then used to establish if the null hypothesis is refused.
What is difference between critical temperature and boiling point?
difference between critical temp and boiling point
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 corroborative?
tentative confirmation of a hypothesis based upon the performance under critical tests. ~ Not falsified
