I did hours per week on the internet and poor mental health over the last 30 days form a hypothesis, and then conduct a statistical analysis on the data in order to determine whether the hypothesis is accurate or not. In addition, you will record the results and make conclusions based on the hypothesis you originally designed. Having the ability to connect all the concepts to apply research and real variables ensures you understand the various methods of statistical analysis. Hypothesis. Include both null and alternate hypotheses. Methods. Participants. Describe the number of participants in the study. For this archival data project, the number of participants refers to the number of participants who responded to both of your selected variables. Measures. Discuss the measurement you chose from your work throughout the course. Data Analysis. Explain the form of analysis that you used to manipulate your data. Consider the following questions in your explanation. From the point that you had the raw data, what test did you run? Why did you select that test? Why did you choose to manipulate the data? How did you manipulate the data? What results did you desire? Results. Report the results of your statistical analysis. Reflect on whether your null hypothesis or alternate hypothesis is correct. Make a conclusion in regard to the relationship between the variables. Discussion. Discuss your results in relation to the following: How do your results compare to other research studies? How can your results be generalized? What were the limitations of the study? Is your research valid and reliable? Or, how would you evaluate the validity and reliability of your study? \ft-Test: Two-Sample Assuming Equal Variances Mean Variance Observations Pooled Variance Hypothesized Mean Difference df t Stat P(T