It is a fact that to write a dissertation, you require a huge amount of data. There are two ways to gather such a huge amount of data. One is the quantitative research methodology, and the other is the qualitative research methodology. Once you have gathered the data, you need to perform different tests on it and draw useful conclusions. It is why today’s article is all about how to conduct statistical tests.
A statistical test provides a complete mechanism for researchers to get their desired results. If you don’t know how to conduct statistical tests while conducting quantitative research, then you can get help from cheap dissertation writing services. However, below you can find a step by step to conduct this test. Let’s look at each point one by one.
1. Design Your Experiment Properly from the Start:
The first and the most important step to conducting statistical tests is to design your experiment correctly. A correctly designed experiment gives statistical power to your answers. Its reason is you will be better positioned to reject the null hypothesis from your data. For this reason, the students should get an idea about the sample size and the number of replicates. It will help avoid statistical errors. Therefore, designing the experiment properly is the first step toward a successful statistical test.
2. Know the Classes of Statistical Errors:
Knowing about the basics of statistical tests is mandatory before conducting them. It is because you may be stuck between the test results when you encounter an error. Therefore, you must know that there are two types of statistical errors.
These are known as false positives and false negatives. It is unavoidable for the students to get an idea about these two common classes of statistical errors. They should also get enough idea of the best ways to remove these errors. Its reason is that the power of an experiment is determined by dividing the true positives by the sum of the false positives and false negatives.
3. Use the Appropriate Statistical Test:
Here comes the main point of today’s article. Choosing the right statistical test is the most important step in writing a quantitative dissertation. All your test results depend on the test. So, you must choose the appropriate test and choose it carefully. However, there are a lot of statistical tests available to analyse the quantitative study. Those types are t-test, z-test, chi-square test, and ANOVA test.
The students should try to select an appropriate statistical test for the quantitative study. The appropriate test selection is only possible by having a complete idea of the hypothesis and the research problem.
4. Set the Appropriate Threshold:
In a dissertation, you must get an idea about the statistical significance of data. Therefore, a statistical test is also helpful for the students to interpret the statistical significance of the data. For this reason, the students should try to use a value method. The most common method is the P-value method. The researchers use this method to check the significance of the given hypothesis. Therefore, a p-value of 0.05 or lower is generally considered as significant. This 0.05 value is the threshold that your test should not cross.
5. Determine The Significance Of Data in Statistical Test:
Most of the students don’t know how to determine the value of an experiment by conducting a statistical test. For this reason, the students should try to compare the values of ‘a’ and ‘p’. If the p-value is less than a value, then it means that your data is significant.
Conclusion
To summarise, statistical tests hold a lot of significance in a quantitative dissertation. It is the tests that draw meaningful conclusions from the raw data. The p-value tells everything about the significance of your data. Therefore, you must calculate using the appropriate method.
