Here is your (discrete) data 140 131 94 118 133 131 82 109 135 75 231 132 132 156 91 128 132 139 98 160 121 99 126 155 131 106 139 150 99 149 67 98 149 106 128 113 148 134 126 101 102 113 123 140 125 161 70 156 119 132 119 186 157 87 116 97 93 133 142 143 124 142 163 90 145 184 96 134 114 126 117 111 124 121 132 139 115 88 75 131 134 106 114 137 First, sort the data. Second, build a GFDT for this table with a classwidth of 15. (Be sure your lower class limits are multiples of the classwidth.) Next, answer the following questions about the data set: 1. What is the first lower class limit in your GFDT (given the classwidth of 15)? 2. Express the fourth class as a closed interval, i.e., [a,b][a,b]. 3. Give the frequency for the fourth class. 4. What is the (arithmetic) mean for this data (report accurate to one decimal place)? 5. Using the GFDT, what is the mode for this data set (Hint: Create the Frequency table first, then determine the class with the highst frequency. The mode is the middle of that class, that is (Upper class limit+Lower class Limit)/2)? Another hint ([120,134]is the class with the highest frequency) 6. What is the standard deviation for this data (report accurate to two decimal places)? 7. What is the five number summary for this data set (separate numbers with a comma)? 8. What is the IQR? 9. What usual score (i.e., non-outlier) has the largest positive z-score less than z=2z=2? (Give the data value, not the z-score.) 10. Give the fences---this would suggest something other than z-scores---for the mild outliers at the maximal end of the data set; report as a closed interval, i.e., [upper mild fence, upper extreme fence](Hint: UMF=Q3+1.5*IQR, UEF=Q3+3*IQR) the ones in bold are the one's that I need help with (ignore 1-3)
Here is your (discrete) data
| 140 | 131 | 94 | 118 | 133 | 131 | 82 | 109 |
| 135 | 75 | 231 | 132 | 132 | 156 | 91 | 128 |
| 132 | 139 | 98 | 160 | 121 | 99 | 126 | 155 |
| 131 | 106 | 139 | 150 | 99 | 149 | 67 | 98 |
| 149 | 106 | 128 | 113 | 148 | 134 | 126 | 101 |
| 102 | 113 | 123 | 140 | 125 | 161 | 70 | 156 |
| 119 | 132 | 119 | 186 | 157 | 87 | 116 | 97 |
| 93 | 133 | 142 | 143 | 124 | 142 | 163 | 90 |
| 145 | 184 | 96 | 134 | 114 | 126 | 117 | 111 |
| 124 | 121 | 132 | 139 | 115 | 88 | 75 | 131 |
| 134 | 106 | 114 | 137 |
First, sort the data.
Second, build a GFDT for this table with a classwidth of 15.
(Be sure your lower class limits are multiples of the classwidth.)
Next, answer the following questions about the data set:
1. What is the first lower class limit in your GFDT (given the classwidth of 15)?
2. Express the fourth class as a closed interval, i.e., [a,b][a,b].
3. Give the frequency for the fourth class.
4. What is the (arithmetic) mean for this data (report accurate to one decimal place)?
5. Using the GFDT, what is the
6. What is the standard deviation for this data (report accurate to two decimal places)?
7. What is the
8. What is the IQR?
9. What usual score (i.e., non-outlier) has the largest positive z-score less than z=2z=2? (Give the data value, not the z-score.)
10. Give the fences---this would suggest something other than z-scores---for the mild outliers at the maximal end of the data set; report as a closed interval, i.e., [upper mild fence, upper extreme fence](Hint: UMF=Q3+1.5*IQR, UEF=Q3+3*IQR)
the ones in bold are the one's that I need help with (ignore 1-3)
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