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.
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.
ANOVA test null hypothesis is the means among two or more data sets are equal.
You can calculate a result that is somehow related to the mean, based on the data available. Provided that you can work out its distribution under the null hypothesis against appropriate alternatives, you have a test statistic.
A hypothesis comes before data. A hypothesis is an estimated guess to what will happen. And Data is the steps it takes to come to a solution in a problem.
A hypothesis is a testable statement. To check the accuracy of your statement, you need to design an experiment to test it and collect data. Then you analyze your data to see how well it supported your hypothesis.
ask a question state your hypothesis identify and control variables test your hypothesis collect and record your data interpret your data state your conclusion go further
Ask a question. Form a hypothesis. Prodedure. Data. Evidence. Conclusion. Reasons for error.There are many other forms of the scientific method. If this is not useful... One word for ya... GOOGLE!
After forming a hypothesis, the scientist will design and conduct experiments to test the hypothesis. They will collect data, analyze the results, and draw conclusions based on the findings. If the hypothesis is supported by the data, it may lead to the development of a theory.
An Experiment
1. Have a question. 2. Make a Hypothesis. 3. Test the Hypothesis. 4. Collect and analyze data. 5. Come to a conclusion where you state whether or not your hypothesis was correct.
scientist do to collect data or hypothesis,easy way was reaserch about a specific thing or doing an experimentation,observation,then their we have the proven hypothesis right...... Waka-waka_01
the answer is the scientist designs a scientific inquiry
1)Ask a question 2)Make a hypothesis (predict what will happen with your experiment) 3)Research your hypothesis 4)Test your hypothesis 5)Collect/organized your data 6)Results 7)Draw a conclusion
Scientists make observations to help them make a hypothesis or collect data during an experiment.
inference
inferences