Here is a data set: 269 282 224 238 239 229 244 299 254 278 255 238 272 318 249 251 275 224 261 248 263 265 224 275 273 277 276 289 The goal is to construct a grouped frequency distribution table (GFDT) for this data set. The GFDT should have 10 classes with a "nice" class width. Each class should contain its lower class limit, and the lower class limits should all be multiples of the class width. This problem is to determine what the class width and the first lower class limit should be. What is the best class width for this data set? optimal class width = What should be the first lower class limit? 1st lower class limit =

Here is a data set: 152 157 165 206 208 212 219 235 236 246 248 260 262 267 273 273 274 275 283 286 304 310 315 334 335 343 345 395 Construct a frequency distribution table for this data set. Number of classes: 10 Use a "nice" class width, such as a multiple of 5 or 10. Label classes using interval notation. For example, if the class is 70-79, label it as [70,79]. The lower class limit should be a multiple of the class width. For example, if the class width is 10, the lower class limit should be a number like 30 or 40 (depending on the data). Data range Frequency

Here is a data set: 425 421 539 503 412 464 591 385 475 548 506 489 491 562 379 379 505 448 539 436 413 506 487 566 620 438 620 515 The goal is to construct a grouped frequency distribution table (GFDT) for this data set. The GFDT should have 10 classes with a "nice" class width. Each class should contain its lower class limit, and the lower class limits should all be multiples of the class width. This problem is to determine what the class width and the first lower class limit should be. What is the best class width for this data set? optimal class width = What should be the first lower class limit? 1st lower class limit=

5. In a city, the weekly observations made in a study on the cost of the living index are given in the following table: Cost of living index 140-150 150-160 160-170 170-180 180-190 190-200 Total Number of weeks 5 10 20 20 9 60 2 52 Draw a frequency polygon for the data above.

Here is a data set: 146 132 286 180 165 224 139 153 143 173 138 153 170 217 189 108 146 144 172 158 193 154 297 203 185 224 195 207 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. Your classes should be labeled using interval notation. Each class contains its lower class limit, and the lower class limits should all be multiples of the class width. In that the data appears to be discrete, use a closed-interval to label each class.

I need help doing thos problem

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Here is a data set: 589 301 420 232 390 385 372 326 312 449 307 459 589 105 271 589 292 337 410 314 366 231 309 423 382 425 457 273 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. Your classes should be labeled using interval notation. Each class contains its lower class limit, and the lower class limits should all be multiples of the class width. In that the data appears to be discrete, use a closed-interval to label each class.

2-Help with this stats exercise please.

Here is a data set: 262 143 161 311 307 150 234 204 174 210 128 273 228 183 184 260 128 243 209 311 190 169 197 179 190 155 188 311 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. Each class contains its lower class limit, and the lower class limits should all be multiples of the class width. Note: the data ranges will be hand graded after the due date for this assignment. If your frequencies are marked correct, you most likely have the classes correct.