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What is the directional and non-directional hypothesis testing?
In statistical hypothesis testing you have a null hypothesis against which you are testing an alternative. The hypothesis concerns one or more characteristics of the distribution. It is easier to illustrate the idea of directional and non-directional hypothesis. In studying the academic abilities of boys and girls the null hypothesis would be that boys and girls are equally able. One directional hypothesis would be that boys are more able. The non-directional alternative would be that there is a gender difference. You have no idea whether boys are more able or girls - only that they are not the same.
Is confidence interval and confidence limits are same thing?
no,these are not the same thing.The values at each end of the interval are called the confidence limits.
Does a linear graph have to increase at the same number of intervals each time?
No
What is stochastic testing?
Stochastic testing is the same as "monkey testing", but stochastic testing is a lot more technical sounding name for the same testing process. Stochastic testing is black box testing, random testing, performed by automated testing tools. Stochastic testing is a series of random tests over time. The software under test typically passes the individual tests, but our goal is to see if it can pass a large number of individual tests.
The imaginary lines joining places of same height at equal intervals are called?
Contours..
Can Bayesian testing come to the same conclusion as null hypothesis significance testing?
Yes, it can.
What is the directional and non-directional hypothesis testing?
In statistical hypothesis testing you have a null hypothesis against which you are testing an alternative. The hypothesis concerns one or more characteristics of the distribution. It is easier to illustrate the idea of directional and non-directional hypothesis. In studying the academic abilities of boys and girls the null hypothesis would be that boys and girls are equally able. One directional hypothesis would be that boys are more able. The non-directional alternative would be that there is a gender difference. You have no idea whether boys are more able or girls - only that they are not the same.
Could a hypothesis be proved scientifically by testing its predictions if a different hypothesis made exactly the same predictions and why?
We could test our hypothesis by means of experimentation, Sorry if you didn't had the information you needed. I didn't understand your question.
What is each sample does not necessarily have the same properties as every other sample?
You will typically have an experimental parameter that will be varied as part of testing a hypothesis.
What is confidence intervals in statistics?
The Confidence Interval is a particular type of measurement that estimates a population's parameter. Usually, a confidence interval correlates with a percentage. The certain percentage represents how many of the same type of sample will include the true mean. Therefore, we would be a certain percent confident that the interval contains the true mean.
What does every hypothesis have the same?
Every hypothesis is a proposed explanation for a phenomenon that can be tested through experimentation and observation. Additionally, every hypothesis should be falsifiable, meaning it can be proven wrong through testing. Finally, a hypothesis should be specific and make a clear prediction that can be tested.
What happens if a hypothesis is tested and shown to be false?
We do not make a clear separation between "proven true" and "proven false" in hypothesis testing. Hypothesis testing in statistical analysis is used to help to make conclusions based on collected data. We always have two hypothesis and must chose between them. The first step is to decide on the null and alternative hypothesis. We also must provide an alpha value, also called a level of significance. Our null hypothesis, or status quo hypothesis is what we might conclude without any data. For example, we believe that Coke and Pepsi tastes the same. Then we do a survey, and many more people prefer Pepsi. So our alternative hypothesis is people prefer Pepsi over Coke. But our sample size is very small, so we are concerned about being wrong. From our data and level of significance, we find that we can not reject the null hypothesis, so we must conclude that Coke and Pepsi taste the same. The options in hypothesis testing are: Null hypothesis rejected, so we accept the alternative or Null hypothesis not rejected, so we accept the null hypothesis. In the taste test, we could always do a larger survey to see if the results change. Please see related links.
Is confidence interval and confidence limits are same thing?
no,these are not the same thing.The values at each end of the interval are called the confidence limits.
Is a hypothesis not the same as a factor?
no its not
Can you accept a null hypothesis under the t statistic and then reject the same null hypothesis using the F statistic?
At the same level of significance and against the same alternative hypothesis, the two tests are equivalent.
How are descending and ascending intervals calculated?
Exactly the same
Is a hypothesis a proven statement?
No, a hypothesis is a proposed explanation or prediction that is based on limited evidence. It is subject to testing and may be supported or refuted by empirical data. Only after rigorous testing and analysis can a hypothesis be confirmed as a theory or scientific fact.
