“At any given point of time an increase in the emotional intelligence of a person will lead to an increase in psychological wellbeing.” This is the hypothesis which is derived and I chose emotional intelligence as my independent variable (IV) due to the cause effect the influence on psychological wellbeing my dependent variable (DV) will have for the outcome, what will happen. The relation between the above two and the dependability of variables make this a null hypothesis.
In the present scenario we will basically take the probability sampling as considering the hypothesis, there is a possibility of each member to be a part of the sample size and we will use simple random sampling due to the above mentioned reason.
In order to find the Type one error we will have to find the scenarios where an increase in the person’s emotional intelligence is not considered as a reason for an increase in his psychologically wellbeing. The above will be basically a contradiction of the alternate hypothesis developed initially.
The Type II error considering the above hypothesis will take place when there is a person who is not emotionally intelligent however he gets considered as emotionally wellbeing.
If the p-value is less than 0.5, in that condition we primarily reject the null hypothesis and then the inference is, that the value is coming from a separate set of population altogether and if that is not the case then there is always an error, wither Type I or Type II.
Hypothesis Testing is basically a framework which is used in order to apply statistics to find out if a particular statement is significant or not. In a given condition lets say there is a relationship that explains if temperature will raise, rain will occur, this will be a null hypothesis similarly an alternate hypothesis can be derived which says that in case of rise in temperature, there will be no rain. Finding a sample based on the above two statements if the p-value we can then either accept or reject the null hypothesis, in order to prove the significance.
UNCFU.Edu. (n.d.). http://faculty.uncfsu.edu. Retrieved June 30, 2011, from Errors in Hypothesis Testing: http://faculty.uncfsu.edu/dwallace/lesson%2012.pdf
Voelz, V. A. ( 2006). Hypothesis Testing. Math Bio Boot Camp , 2-11.