Running head: HYPOTHESIS TESTING 1 Hypothesis Testing Student’s Name Institution Year HYPOTHESIS TESTING 2 1. Please define each of the following terms and provide hypothetical example for each: hypothesis testing, null and alternative hypothesis, non-directional and directional hypothesis, type I error in testing hypothesis, type II error in testing hypothesis, probability of type I error (ɑ), probability of type II error (ß), power of the test and its significance, the critical value(s) in a test, p-value (significance level). • Hypothesis testing- It is the statistical method of making statistical inferences about an experiment's data that involves the statistician testing an assumption about a particular population parameter. For example, when a person wants to test if a coin has exactly a 50% chance of landing on heads, then this becomes a most appropriate method • Null and alternative hypothesis- The null hypothesis (H0) refers to a statistical hypothesis that assumes that is no statistical significance between two variables. On the other side, an alternative hypothesis(H1) is a hypothesis that shows that an experiment’s observations are the result of a real effect. An example of a null hypothesis is one which says that hyper acidity is related to sugar, meaning that sugar and hyperacidity are not statistically significant. On the other hand, an example of an alternative hypothesis is sugar is related to hyperacidity, which indicates that the two vari ...
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