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Hypotheses testing in daily life can promote a better understanding of various events and people that an individual deals with daily. For instance, hypothesis testing may reveal how people around the individual treat them. This paper aims to describe the testing of a hypothesis stating that only close people, including friends and family, are always ready to help in times of critical need, while acquaintances may refuse a corresponding request. The paper provides details on the testing process, including population sample, sampling and statistical techniques, experiment description, and variables involved.
It is essential to understand what a hypothesis is before discussing its testing process. According to Emmert-Streib and Dehmer, a hypothesis is a specifically formulated statement that can be tested to decide whether the population sample is typical or atypical, assuming that the hypothesis is true. (2019). This particular study will involve a population sample of 20 people who have different forms of relationships with the main subject. The stratified sampling technique will be used for this study because people of the sample have to be divided into groups to test the hypothesis. The sample will consist of three groups: family members (4 individuals), close friends (5 individuals), and acquaintances (11 individuals). The main subject will make unexpected calls to the people from the sample when they are busy (attending lectures in college or working), asking them to come and help with a crucial problem. This experiment will lead to valid and reliable data because it will show if a person is willing to postpone their business to help the main subject.
There are variables involved in the hypothesis: all of the acquaintances will refuse the request, or some will postpone their current activities and help the main subject. Both variables in this hypothesis will have the nominal data level because they only have to be labeled without ordering or measuring them. The appropriate statistical technique for this study is the correlation is a plain exploratory analysis of the data collected. This technique is the most appropriate for this study because it only has two persistent, unchanged variables.
Reference
Emmert-Streib, F., & Dehmer, M. (2019). Understanding statistical hypothesis testing: The logic of statistical inference. Machine Learning and Knowledge Extraction, 1(3), 945-961.
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