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How is a hypothesis and a research question different?
A hypothesis is more like a pre-research prediction of what you will find out rather than a question
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 does a p value of 0.66 tell us?
A p-value is the probability of obtaining a test statistic as extreme or more extreme than the one actually obtained if the null hypothesis were true. If this p-value is less than the level of significance (usually set by the experimenter as .05 or .01), we reject the null hypothesis. Otherwise, we retain the null hypothesis. Therefore, a p-value of 0.66 tell us not to reject the null hypothesis.
What is an anova test?
An ANOVA is an analysis of the variation present in an experiment. It is a test of the hypothesis that the variation in an experiment is no greater than that due to normal variation of individuals' characteristics and error in their measurement.
When do you accept a hypothesis?
You accept an alternative hypothesis when the p-value is greater than the sample a for a confidence level of 95%. The null hypothesis cannot be accepted.
How is a hypothesis and a research question different?
A hypothesis is more like a pre-research prediction of what you will find out rather than a question
What happens if more than one hypothesis is put forward to explain the same observations?
For a hypothesis to be put forward as a scientific hypothesis, the scientific method requires that one can test it. A working hypothesis is a provisionally accepted hypothesis proposed for further research.
Discuss the Role of Research Hypothesis in a research Project?
In science, a hypothesis is an idea or explanation that you then test through study and experimentation. Outside science, a theory or guess can also be called a hypothesis. A hypothesis is something more than a wild guess but less than a well-established theory.
What is the rule in hypothesis testing?
The rules are as follows:the hypothesis and its alternative are clearly spelled out before you look at he data,the observations are obtained randomly,the test statistic is based only on the observed data,you have measures of what the likely values of the test statistic if the [null] hypothesis were true and if it were not,you then reject the null hypothesis if the likelihood of obtaining a test statistic which is as or more extreme than observed is smaller than some predetermined (but arbitrary) value. Otherwise you accept the hypothesis.
Is it sufficient to do a single experiment to test a hypothesis Why or why not?
Whether or not you write down an hypothesis, if you conduct an experiment, you naturally have a hypothesis since you are trying to find the answer to something and have some sort of expectations.
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 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.
Why a hypothesis has to be more than a scientists best answer to a question?
A hypothesis is a general guess as to what a result may be. In general, it is the second step of the "scientific process". In the average "scientific process" you start with a question, form a hypothesis, test the hypothesis, make a conclusion, and report results.
How is H1 hypothesis rejected?
H1 hypothesis is rejected when the p-value associated with the test statistic is less than the significance level (usually 0.05) chosen for the hypothesis test. This indicates that the data provides enough evidence to reject the alternative hypothesis in favor of the null hypothesis.
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 reason of a null hypothesis being rejected?
W The test statistic is is the critical region or it exceeds the critical level. What this means is that there is a very low probability (less than the critical level) that the test statistics could have attained a value as extreme (or more extreme) if the null hypothesis were true. In simpler terms, if the null hypothesis were true you are very, very unlikely to get such an extreme value for the test statistic. And although it is possible that this happened purely by chance, it is more likely that the null hypothesis was wrong and so you reject it.
Is a hypothesis is more certain than a theory in science?
No. A theory is more certain: it is a hypothesis which has had some supporting evidence.
