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What does the test statistic measure?
The test statistic is a measure of how close the sample proportion is to the null value.
What do you call the statement that determines if the null hypothesis is rejected?
The hypothesis test.
When can a null hypothesis be rejected?
Usually when the test statistic is in the critical region.
How would you determine the expected frequencies for a chi-square goodness of fit test?
You first decide on a null hypothesis. Expected frequencies are calculated on the basis of the null hypothesis, that is, assuming that the null hypothesis is true.
How do you know if you have enough information to draw an hypothesis test in statistics?
You can test a hypothesis with very little information. For hypothesis testing you will have a null hypothesis, and alternative and some test statistic. The hypothesis test consists of checking whether or not the test statistic lies in the critical region. If it does, then you reject the null hypothesis and accept the alternative. The default option is to stick with the null hypothesis.If the number of observations is very small then the critical region is so small that you have virtually no chance of rejecting the null: you will default to accepting it.Different test have different powers and these depend on the underlying distribution of the variable being tested as well as the sample size.
Reject or accept null hypothesis F-test?
F-test results will determine if the null hypothesis will be rejected or accepted. All test are ran with the assumption that the null hypothesis is true.
If a test of hypothesis has a type 1 error probability 01?
If the type 1 error has a probability of 01 = 1, then you will always reject the null hypothesis (false positive) - even when the evidence is wholly consistent with the null hypothesis.
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 does the test statistic measure?
The test statistic is a measure of how close the sample proportion is to the null value.
What is the null hypothesis tested by an ANOVA?
ANOVA test null hypothesis is the means among two or more data sets are equal.
What do you call the statement that determines if the null hypothesis is rejected?
The hypothesis test.
When can a null hypothesis be rejected?
Usually when the test statistic is in the critical region.
How do you create an application form using PHP?
CREATE TABLE `test`.`users` ( `id` INT NOT NULL auto_increment , `name` VARCHAR( 20 ) NOT NULL , `password` VARCHAR( 20 ) NOT NULL , `email` VARCHAR( 20 ) NOT NULL , PRIMARY KEY ( `id` ) )
How would you determine the expected frequencies for a chi-square goodness of fit test?
You first decide on a null hypothesis. Expected frequencies are calculated on the basis of the null hypothesis, that is, assuming that the null hypothesis is true.
How do you know if you have enough information to draw an hypothesis test in statistics?
You can test a hypothesis with very little information. For hypothesis testing you will have a null hypothesis, and alternative and some test statistic. The hypothesis test consists of checking whether or not the test statistic lies in the critical region. If it does, then you reject the null hypothesis and accept the alternative. The default option is to stick with the null hypothesis.If the number of observations is very small then the critical region is so small that you have virtually no chance of rejecting the null: you will default to accepting it.Different test have different powers and these depend on the underlying distribution of the variable being tested as well as the sample size.
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 power of a statistical test?
The power of a statistical test is the probability that the test will reject the null hypothesis when it is, in fact, false. Please see the link.
