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Customer Expenditures 1230 1054 1109 1241 1295 1131 713 8 1622 633 10 1242 1725 1437 1692 1451 1601 1619 1271 792 1232 1260 884 1387 1289 1138 1287 1691 1649 1501 2091 1134 749 623 1427 1708 945 1076 1175 860 1128 1579 995 1863 1513 1227 1322 1325 1117 1555 834 1469 1636 1888 942 1792 1668 1516 1303 1458 1324 1089 1254 1350 1478 798 549 999 932 490 1638 1812 1785 1531 1619 1236 1440 1305 1459 2164 1317 1225 1651 1610 1080 1674 1099 1202 1804 1675 1225 1586 1359 1502 821 875 1543 970 97 904 98 1132 1604 100 1391The accompanying data file shows the annual expenditures (in $) for 100 Amazon prime customers. pictureClick here for the Excel Data File a. Construct a boxplot for the annual expenditures variable. Does the boxplot suggest that outliers exist? ONo outliers exist. OAn outlier exists in the upper part of the distribution. OAn outlier exists in the lower part of the distribution. OOutliers exist in both the lower and upper part of the distribution. b-1. Use z-scores to determine if there are any outliers for the annual expenditures variable. (Round final answers to 2 decimal places. Negative amounts should be indicated by a minus sign.) z-score for the smallest observation z-score for the largest observation b-2. The z-scores for the minimum and maximum observations suggest that: Ono outliers exist. Oan outlier exists in the upper part of the distribution. Oan outlier exists in the lower part of the distribution. Ooutliers exist in both the lower and upper part of the distribution. b-3. Which of the following statements is most accurate with respect to outliers in this example? The boxplot and zscores provide consistent results. The boxplot is more reliable because the distribution is not symmetric. The zscores are more reliable because the distribution is not symmetric. The zscores are more reliable because the distribution is symmetric