Hypothesis Testing II

Hypothesis Testing Overview Part TWO. Here you will dive deep into what hypothesis testing is, why you should use it, and learn how null hypothesis (Ho) and alternative hypothesis (Ha) are used and how one is rejected. You will grasp how Statistical significance is a determination by analysis that the results in the data are not explainable by chance alone.
Statistical hypothesis testing is the analysis method used to make this determination, as only one of the two hypotheses can be true.
You will learn The p-value (probability value) describes how likely you are to have found a particular set of observations if the null hypothesis were true, and represents the probability that the change is due to random, inherent sources, and also the chance of being wrong when deciding to reject the null hypothesis.