Points: 0.5 of 1 Save - K A random sample of male college baseball players and a random sample of male college soccer players were obtained independently and weighed. The accompanying table shows the unstacked weights (in pounds). The distributions of both data sets suggest that the population distributions are roughly Normal. Using a two-tailed test with a significance level of 0.05, the null hypothesis that the mean weights of soccer and baseball players are equal is rejected. Complete parts (a) through (c) below. Click the icon to view the data table. Weights (in pounds) Full Data Set Baseball Soccer Baseball Soccer 162 186 158 197 189 206 169 186 186 194 171 180 183 178 159 189 183 184 151 203 187 195 170 187 166 200 177 173 183 197 183 206 172 184 170 221 181 193 186 230 165 187 153 196 192 182 161 165 185 a. If a 95% confidence interval for the difference between means was found, would it capture 0? Exp OA. The 95% interval would capture 0, because the hypothesis that the mean weights are the sar OB. The 95% interval would not capture 0, because there appears to be a difference between the C. The 95% interval would not capture 0, because the hypothesis that the mean weights are the OD. The 95% interval would capture 0, because there does not appear to be a difference betweer b. If a 90% confidence interval for the difference between means was found, would it capture 0? Exp No, because a 90% interval is narrower than a 95% interval and centered at the same value, a c. Find a 95% confidence interval for the difference between means, and explain what it shows. The 95% confidence interval for the difference between means (Baseball minus Soccer) is ( (Round to two decimal places as needed. Use ascending order.) 191 Print Done + B Clear all Check answer c