Here is a data set: 345 164 244 176 193 193 244 219 240 148 190 244 151 249 254 345 136 243 205 231 240 180 295 202 170 138 102 227 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 should contain its lower class limit and each sequential lower class limit should increase by increments of the class width. In that the data appears to be discrete, use a closed-interval to label each class. Data Frequency

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.

Here is a data set: Data range 210-229 230-249 250-269 270-289 290-309 214 217 219 223 228 238 241 245 247 253 253 254 X 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). X 5 263 265 286 291 X 4 50 11 250 X 2 256 X 8 10% Frequency 28 266 269 287 290 291 303 305 307 56 259 262 X

Here is a data set: 430 584 450 343 458 737 498 265 665 412 643 466 356 338 644 599 466 577 495 436 456 476 516 503 497 675 421 334 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.

* 00 T O LO R Question 18 Here is a data set: 218 75 129 105 35 133 98 95 37 112 61. 154 696 LL 114 167 35 09 06 174 167 124 83 98 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. Data range Frequency MacBook Air 08 F3 F1 F2 F4 F 7 #3 24 1 2 3. 4. A H. Z B. W N

A large company's human resources manager undertakes a research that examines the employment records of 500 employees for absenteeism over the previous year. The data is organised into a frequency distribution by the business researcher conducting the study to assist the human resources manager in analysing the data. This graphs show the frequency distribution. Class interval Frequency 0 – 1 218 2 – 3 207 4 – 5 56 6 – 7 11 8 – 9 8 List three specific uses of cumulative frequencies in business. Display a relative frequency histogram and relative frequency polygon for these data. Find mean, median, mode, variance and standard deviation for grouped data.

Here is a data set: 203 231 233 238 257 263 275 285 285 286 302 311 313 314 319 323 326 328 336 339 362 364 366 378 390 390 422 447 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