Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference Sig. (2- Mean Std. Error Low F Sig. tailed Diff Diff er Upper wt Equal 575 448 9998 .860 -.035 .201 358042 var 177 429 assum ed Equal 9996 860 -.035 201 .358732 var not 177 .77 429 assum ed Now, let's see if you know how to interpret these tables: 1). How many Men were in this dataset? 2). How many Women were in this dataset? 3.) What was the mean weight of the men? 4). What was the mean weight of the women? 5). All things considered, are these two means very far apart? 6). Based on your response to question 5, would you expect a t-test to have sufficient evidence to say these two means are different? 7). The two-tailed p-value associated with this test is 0.860. Should we reject the null hypothesis? 8). Is there sufficient evidence to suggest that there is a statistically significant difference between the two means in question? 9). If we now were interested in knowing whether there's a difference in weight between those with low NYHA class (1 and 2) versus those with high NYHA class (3 and 4), what p-value would you report?