Using Excel, construct a frequency distribution for this data. Round the class width to the appropriate pound. Add a relative frequency column to your distribution. Add a relative frequency column to your distribution. Format your rounded distribution with center alignment, borders and relative frequency rounded to three decimal places. Note the width, lower and upper.
Data:
BEAR WEIGHT |
(pounds) |
80 |
344 |
416 |
348 |
166 |
220 |
262 |
360 |
204 |
144 |
332 |
34 |
140 |
180 |
105 |
166 |
204 |
26 |
120 |
436 |
125 |
132 |
90 |
40 |
220 |
46 |
154 |
116 |
182 |
150 |
65 |
356 |
316 |
94 |
86 |
150 |
270 |
202 |
202 |
365 |
79 |
148 |
446 |
62 |
236 |
212 |
60 |
64 |
114 |
76 |
48 |
29 |
514 |
140 |
For the following given data set 80, 344, 416, 348, 166, 220, 262, 360, 204, 144, 332, 34, 140, 180, 105, 166, 204, 26, 120, 436, 125, 132, 90, 40, 220, 46, 154, 116, 182, 150, 65, 356, 316, 94, 86, 150, 270, 202, 202, 365, 79, 148, 446, 62, 236, 212, 60, 64, 114, 76, 48, 29, 514, 140 the frequency table with relativen frequency column is tabulated using excel as:
Class Limit | Frequency | Relative frequency |
0-89 | 14 | 0.259 |
90-179 | 17 | 0.315 |
180-269 | 11 | 0.204 |
270-359 | 6 | 0.111 |
360-449 | 5 | 0.093 |
450-539 | 1 | 0.019 |
Here the class limit is the interval within which inclusive of the limits certain no of values lies, where the frequency is the no of values that lie within the given class limit.
Relative frequency of the class is calculated as the class frequency/ Total frequency
Note: Feel free to ask if any query remains.
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