QUESTION IMAGE
Question
which set of data does not contain any outliers?
113, 115, 103, 154, 109, 111, 119
141, 151, 111, 142, 149, 140, 150
99, 103, 91, 104, 109, 107, 97
131, 135, 131, 99, 138, 136, 140
Step1: Recall Outlier Formula
To find outliers, we use the interquartile range (IQR) method. The formula for outliers is: values less than \( Q_1 - 1.5 \times \text{IQR} \) or greater than \( Q_3 + 1.5 \times \text{IQR} \) are outliers, where \( Q_1 \) is the first quartile and \( Q_3 \) is the third quartile.
Step2: Analyze First Data Set (113, 115, 103, 154, 109, 111, 119)
- Sort: 103, 109, 111, 113, 115, 119, 154
- \( Q_1 = 109 \), \( Q_3 = 119 \)
- \( \text{IQR} = 119 - 109 = 10 \)
- Lower bound: \( 109 - 15 = 94 \), Upper bound: \( 119 + 15 = 134 \)
- 154 > 134, so outlier exists.
Step3: Analyze Second Data Set (141, 151, 111, 142, 149, 140, 150)
- Sort: 111, 140, 141, 142, 149, 150, 151
- \( Q_1 = 140 \), \( Q_3 = 150 \)
- \( \text{IQR} = 150 - 140 = 10 \)
- Lower bound: \( 140 - 15 = 125 \), Upper bound: \( 150 + 15 = 165 \)
- All values (111,140,141,142,149,150,151) are between 125 and 165? Wait, 111 < 125. Wait, maybe miscalculation. Wait, re-sort: 111, 140, 141, 142, 149, 150, 151. Wait, median is 142 (4th term). \( Q_1 \) is median of first half (111,140,141) → 140. \( Q_3 \) is median of second half (149,150,151) → 150. IQR=10. Lower bound=140 -15=125. 111 <125, so 111 is outlier? Wait, maybe I made a mistake. Wait, let's check third data set.
Step4: Analyze Third Data Set (99, 103, 91, 104, 109, 107, 97)
- Sort: 91, 97, 99, 103, 104, 107, 109
- \( Q_1 = 97 \), \( Q_3 = 107 \)
- \( \text{IQR} = 107 - 97 = 10 \)
- Lower bound: \( 97 - 15 = 82 \), Upper bound: \( 107 + 15 = 122 \)
- All values (91,97,99,103,104,107,109) are between 82 and 122? 91 >82, 109 <122. Wait, no outlier? Wait, no, wait 91 is in the data. Wait, maybe I messed up. Wait, let's check fourth data set.
Step5: Analyze Fourth Data Set (131, 135, 131, 99, 138, 136, 140)
- Sort: 99, 131, 131, 135, 136, 138, 140
- \( Q_1 = 131 \), \( Q_3 = 138 \)
- \( \text{IQR} = 138 - 131 = 7 \)
- Lower bound: \( 131 - 10.5 = 120.5 \), Upper bound: \( 138 + 10.5 = 148.5 \)
- 99 < 120.5, so 99 is outlier.
Wait, maybe I made a mistake in second data set. Wait, let's re-examine the second data set: 141, 151, 111, 142, 149, 140, 150. Sort: 111, 140, 141, 142, 149, 150, 151. Median (Q2) is 142. \( Q_1 \) is median of [111,140,141] → 140. \( Q_3 \) is median of [149,150,151] → 150. IQR=10. Lower bound=140 -15=125. 111 <125, so 111 is outlier. So second data set has outlier.
Third data set: 99,103,91,104,109,107,97. Sort: 91,97,99,103,104,107,109. Median=103. \( Q_1 \) (median of 91,97,99) → 97. \( Q_3 \) (median of 104,107,109) → 107. IQR=10. Lower bound=97-15=82. Upper bound=107+15=122. All values: 91 (≥82), 97,99,103,104,107,109 (≤122). So no outliers? Wait, but let's check fourth data set: 131,135,131,99,138,136,140. Sort:99,131,131,135,136,138,140. Median=135. \( Q_1 \) (median of 99,131,131) →131. \( Q_3 \) (median of 136,138,140) →138. IQR=7. Lower bound=131-10.5=120.5. 99 <120.5, so 99 is outlier.
First data set: 113,115,103,154,109,111,119. Sort:103,109,111,113,115,119,154. Median=113. \( Q_1 \) (103,109,111) →109. \( Q_3 \) (115,119,154) →119. IQR=10. Upper bound=119+15=134. 154>134, so 154 is outlier.
Wait, so third data set: 91,97,99,103,104,107,109. All values between 82 and 122. So no outliers. Wait, but the option selected in the image is the second one, but maybe I made a mistake. Wait, maybe I messed up the second data set. Wait, maybe the correct one is the third data set? Wait, no, let's recheck.
Wait, the third data set: 99,103,91,104,109,107,97. Sorted:91,97,99,103,104,107,109. \( Q_1 \): median of first three (91,97,99) is 97. \( Q_3 \)…
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The set of data that does not contain any outliers is 99, 103, 91, 104, 109, 107, 97 (the third option in the list).