Use the frequency distribution to complete parts (a) through (e). Class Frequency 8- 14 a) Determine the total number of observations. b) Determine the width of each class. c) Determine the midpoint of the second class. d) Determine the modal class (or classes). e) Determine the class limits of the next class if an additional class were to be added. 15 -21 7 22 - 28 7 29 - 35 3 36 - 42 6. 43 - 49 7 a) The total number of observations is.

Use the frequency distribution to complete parts (a) through (e). Class Frequency 8- 14 a) Determine the total number of observations. b) Determine the width of each class. c) Determine the midpoint of the second class. d) Determine the modal class (or classes). e) Determine the class limits of the next class if an additional class were to be added. 15 -21 7 22 - 28 7 29 - 35 3 36 - 42 6. 43 - 49 7 a) The total number of observations is.

Mathematics For Machine Technology

8th Edition

ISBN:9781337798310

Author:Peterson, John.

Publisher:Peterson, John.

Chapter29: Tolerance, Clearance, And Interference

Section: Chapter Questions

Problem 20A: Mating parts are shown in Figure 29-16. The pins in the top piece fit into the holes in the bottom...

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Mating parts are shown in Figure 29-16. The pins in the top piece fit into the holes in the bottom piece. All dimensions are in inches. Determine the following; a. The mean pin diameters b. The mean hole diameters c. The maximum dimension A d. The minimum dimension A e. The maximum dimension B f. The minimum dimension B g. The maximum total clearance between dimension C and dimension D h. The minimum total clearance between dimension C and dimension D
Use the given frequency distribution to find the (a) class width. (b) class midpoints of the first class. (c) class boundaries of the first class.
Here is a data set: 232 268 239 266 223 275 240 264 251 264 248 218 235 272 207 250 295 276 224 207 226 255 207 250 230 251 257 260 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.
Use the frequency distribution to complete parts (a) through (e). a) Determine the total number of observations. b) Determine the width of each class. c) Determine the midpoint of the second class. d) Determine the modal class (or classes). e) Determine the class limits of the next class if an additional class were to be added. Class Frequency 12−21 6 22−31 1 32−41 6 42−51 7 52−61 3 62−71 4 Question content area bottom
Here is a data set: 378 433 437 461 464 466 482 483 483 486 492 492 496 499 508 509 515 520 530 532 534 550 551 552 566 607 613 622 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).
The data show the scores of the winning teams in the Rose Bowl. Construct a frequency distribution for the data using a class width of 9.. 47 26 30 25 19 19 29 16 25 20 30 36 39 36 19 40 23 22 43 40 23 40 36 48 19 24 22 24 47 22 26 22 47 23 28 40 51 34 43 40 Find the class limits. The first lower class limit is 16 . Class limits 16 - - - -
162 421 345 529 373 297 189 346 299 354 203 179 297 318 269 317 106 194 171 265 164 502 389 229 429 61 331 365 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.
Use the given frequency distribution to find the (a) class width. (b) class midpoints. (c) class boundaries. Temperature (°F) Frequency 45-49 1 50-54 3 55-59 5 60-64 11 65-69 7 70-74 7 75-79 1 (a) What is the class width? nothing (Type an integer or a decimal.) (b) What are the class midpoints? Complete the table below. (Type integers or decimals.) Temperature (°F) Frequency Midpoint 45-49 1 nothing 50-54 3 nothing 55-59 5 nothing 60-64 11 nothing 65-69 7 nothing 70-74 7 nothing 75-79 1 nothing (c) What are the class boundaries? Complete the table below. (Type integers or decimals.) Temperature (°F) Frequency Class boundaries 45-49 1 nothing - nothing 50-54 3 nothing - nothing 55-59 5 nothing - nothing 60-64 11 nothing - nothing 65-69 7…
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: 61100 51500 47100 32000 41200 69200 55900 50700 50300 62100 56900 45700 31000 48400 57700 34600 47000 53700 29100 24600 29400 48400 55800 46400 48200 46400 34100 53800 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: 298 309 339 287 277 253 250 283 348 327 220 361 228 333 307 317 266 266 248 327 234 397 263 314 333 257 209 286 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