SAT Scores from a sample of 30 students SAT Total 1234 1048 1064 1065 1086 1074 1270 1059 1161 1163 1093 1170 1085 1187 1135 1044 1095 1316 1228 1092 1262 1109 1302 1096 1257 1214 1121 1122 1106 1113 Find the 5-number summary for the data ( this is done in the 1st sheet to show the commands to find the quartiles and median) Determine if there are any outliers using the IQR, as seen in class on Wednesday. If a data set has outliers, make two histograms one including all data, and one after removing the outliers (If the data set does not contain outliers, you do not need to do the histograms)
SAT Scores from a sample of 30 students SAT Total 1234 1048 1064 1065 1086 1074 1270 1059 1161 1163 1093 1170 1085 1187 1135 1044 1095 1316 1228 1092 1262 1109 1302 1096 1257 1214 1121 1122 1106 1113 Find the 5-number summary for the data ( this is done in the 1st sheet to show the commands to find the quartiles and median) Determine if there are any outliers using the IQR, as seen in class on Wednesday. If a data set has outliers, make two histograms one including all data, and one after removing the outliers (If the data set does not contain outliers, you do not need to do the histograms)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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SAT Scores from a sample of 30 students
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SAT Total | |||
1234 | |||
1048 | |||
1064 | |||
1065 | |||
1086 | |||
1074 | |||
1270 | |||
1059 | |||
1161 | |||
1163 | |||
1093 | |||
1170 | |||
1085 | |||
1187 | |||
1135 | |||
1044 | |||
1095 | |||
1316 | |||
1228 | |||
1092 | |||
1262 | |||
1109 | |||
1302 | |||
1096 | |||
1257 | |||
1214 | |||
1121 | |||
1122 | |||
1106 | |||
1113 |
- Find the 5-number summary for the data ( this is done in the 1st sheet to show the commands to find the quartiles and median)
- Determine if there are any outliers using the IQR, as seen in class on Wednesday.
- If a data set has outliers, make two histograms
- one including all data, and
- one after removing the outliers
- (If the data set does not contain outliers, you do not need to do the histograms)
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