Hypothesis testing is a method for testing a prediction or hypothesis about a measurable variable in a population. Hypothesis testing involves five steps including: stating the hypotheses, collecting data, calculating the statistics, comparing the statistical findings with a critical value, and making a decision to accept or reject the null hypothesis.
Present a research topic and research question you are interested in studying and develop a null hypothesis and alternative hypothesis to answer the research question.
Discuss whether your alternative hypothesis is directional or non-directional.
What would be a type 1 error and type 2 error in the examples you provided? Explain how both of these could be minimized in your example.
What do you consider to be the most challenging aspect of defining hypotheses and why?
Your post should be at least 300 words. Respond to at least two of your classmates’ postings. As you respond, consider whether you can offer additional ideas for how to reduce type 1 and type 2 errors. Given your classmates’ examples, are there ways to adapt them to be directional or non-directional and vice versa? Are there suggestions you can offer on clarifying the hypothesis?For more information on Hypothesis Testing read :https://en.wikipedia.org/wiki/Statistical_hypothesis_testing