Through observation, survey, or secondary data
To set up a nonparametric test using the six-step hypothesis testing procedure, start by stating the null hypothesis (H0) and the alternative hypothesis (H1). Next, select the appropriate nonparametric test based on the data type and research question, such as the Mann-Whitney U test or the Kruskal-Wallis test. Then, determine the significance level (alpha), typically set at 0.05. Collect the data, perform the test to calculate the test statistic, and finally, compare the p-value to the significance level to make a decision about the null hypothesis.
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 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.
Data collection occurs during the experimentation phase of the scientific method. After formulating a hypothesis and designing an experiment, researchers systematically gather data through observations and measurements to test the hypothesis. This data is then analyzed to draw conclusions about the validity of the hypothesis.
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