What is NHST? Describe the assumptions of the model
What is NHST? Describe the assumptions of the model.
Hint
StatisticsNull Hypothesis Significance Testing (NHST) is a statistical method for testing whether the factor we are talking about has the effect on our observation. Statistical hypothesis is a statement about population which needs to be verified based on the sample which in indeed a representation of population. In hypothesis testing, null hypothesis (denoted by Ho) which is a neutral statement, ...
Null Hypothesis Significance Testing (NHST) is a statistical method for testing whether the factor we are talking about has the effect on our observation. Statistical hypothesis is a statement about population which needs to be verified based on the sample which in indeed a representation of population. In hypothesis testing, null hypothesis (denoted by Ho) which is a neutral statement, is tested against an Alternative hypothesis (denoted by H1). The conclusion of a hypothesis testing is that I either reject the Null Hypothesis or fail to reject the null hypothesis. For example, t test, z test, ANOVA test etc.
The process of NHST involves the following steps. Firstly, stating the hypothesis (Null and Alternative). Secondly, to determine the value of level of statistical significance or alpha. Then run NHST and find the value of test statistic and p-value. And lastly the application of decision rule, which tells either I reject the null hypothesis or I fail to reject the null hypothesis.
I assume that the authors did an analysis with the best knowledge they had at that moment, so we can still trust the results even if the procedure of the test was not perfect or some pieces of information are missing in a paper. Another point is that the evaluation of user interfaces cannot be performed by only statistical tests.
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