We can use the sample data from group 1 to perform a hypothesis test. let's assume the weight losses of the 25 participants in group 1 represent the weight losses of all college students who exercise in a similar fashion to group 1 over a 4-week period. at 5% level of significance, do the sample statistics from group 1 provide sufficient evidence to conclude that the mean weight loss of all college students who perform the same light aerobic exercise activities over a 4-week period is less than 2 pounds? let's assume that weight losses are approximately normally distributed. a step 1: determine the hypotheses (state the null and alternative hypotheses. specify if the test is left-tailed, right-tailed, or two-tailed test.) b step 2: collect the data (explain whether or not the criteria for the approximate normality of the sampling distribution of sample means are satisfied. specify the sample size, sample mean, and sample standard deviation. ) c step 3: assess the evidence (calculate the test statistic for the observed sample mean, sketch the 7-distribution and identify the position of the observed test statistic. shade the area that represents the p-value. use the test statistic to find the p-value.) d step 4: state a conclusion (is the observed sample mean statistically significant? how does the p-value compare to the significance level? should we reject or fail to reject the null hypothesis? what can you conclude about the alternative hypothesis? )