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A statistical hypothesis test will usually be performed by inductively comparing results of experiments or observations. The number or amount of comparisons will generally dictate the statistical test to use. The researcher is basically making a statement and assuming that it is either correct (the hypothesis - H1) or assuming that it is incorrect (the null hypothesis - H0) and testing that assumption within a predetermined significance level - the alpha.
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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.
What is an alternative hypothesis?
with the alternative hypothesis the reasearcher is predicting
What term is used to describe a presentation of a thing or system and can be as away to test hypothesis?
A statistical test.
What is the meaning of hypothesis in statistics?
A hypothesis is the first step in running a statistical test (t-test, chi-square test, etc.) A NULL HYPOTHESIS is the probability that what you are testing does NOT occur. An ALTERNATIVE HYPOTHESIS is the probability that what you are testing DOES occur.
What null hypothsis?
It is the hypothesis that is presumed true until statistical evidence in the form of a hypothesis test proves it is not true.
What is null hypothsis?
It is the hypothesis that is presumed true until statistical evidence in the form of a hypothesis test proves it is not true.
How is the power of a statistical test defined?
The power of a statistical test is defined as being a probability that a test will product a result that is significantly different. It can be defined as equaling the probability of rejecting the null hypothesis.
What is the minimum number of hypotheses necessary for a statistical test?
The minimum number is two: the hypothesis which you wish to test and alternative to that hypothesis. The latter may be rather loosely described.
What does it mean when tests are chi-square based?
A chi-squared test is any statistical hypothesis test in which the sampling distribution of the test statistic is a chi-squared distribution when the null hypothesis is true.
What is the power of a statistic?
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.
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.
How is z score and p value related?
The z-score is a statistical test of significance to help you determine if you should accept or reject the null-hypothesis; whereas the p-value gives you the probability that you were wrong to reject the null-hypothesis. (The null-hypothesis proposes that NO statistical significance exists in a set of observations).
