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A Sample of 200 randomly selected students were asked about their smoking status. They were then made to go through a "Quit Smoking" training session for three months. The number of students in each of the three different smoking categories before and after the session are shown below. Non Smokers Light Smokers Heavy Smokers Before 100 50 50 After 135 40 25 The links to all statistical tests are provided below Statistical Test Link Z-test http://www.socscistatistics.com/tests/ztest sample mean/Default2.aspx t-test https://www.graphpad.com/quickcalcs/ttest1/?Format=SD Paired t-test https://www.graphpad.com/quickcalcs/ttest1.cfm ANOVA (One Way) http://vassarstats.net/anovalu.html ANOVA (Two Way) http://vassarstats.net/anova2u.html Chi-Squared Test (One https://www.graphpad.com/quickcalcs/chisquared1.cfm dimensional) Chi-Squared Test (Two https://www.mathsisfun.com/data/chi-square-calculator.html Dimensional)You want the test if the training session had a significant impact on smoking patterns. 1What test would you perform? Perform all the steps in hypothesis testing. What is your conclusion Historically, new respiratory viruses decreased lung capacity of infected people by 5% on an average with a standard deviation of 1%. A new respiratory virus (SAHS-CDVE} was found to decrease the lung capacity of a random sample of 121 patients by 5.5%. Is this virus significantly deadlier than than the previous viruses