Distribution of the Sample Proportion            Name: __________

 

Remember the worksheet for which you rolled dice?  The point of the worksheet was to examine the sampling distribution of the sample mean.  That’s why I had you generate several samples (of dice rolls) and calculate the sample mean for each sample – so we could see how these sample means vary.  Now I want to do the same thing for a different statistic: the sample proportion.  So I want you to generate several samples (of coin spins this time), and calculate the sample proportion (of heads) in each sample – so we can see how these sample proportions vary.  Get ready for more tedium!

 

First, I want to make sure you understand the spinning process.  You must give the penny lots of rotational momentum, and it must come to rest without hitting anything.  The former requires that you don’t just give the coin a little twist with your wrist, but that you hold the penny on edge with one finger and flick it with your other finger – as if place-kicking a football, sort of.  The latter requires a large, flat, hard surface.  If the penny hits anything before coming to rest, disregard that attempt.

 

Believe it or not, pennies spun in this fashion are not equally likely to land heads up and tails up.  I’ll explain why after we collect the data.  Please use a penny from the 1960’s; 1961 and 1962 are ideal to bring out this effect.  Record the year of the penny that you use: ______

 

For now, I’d like you to generate three samples of 10 spins each, and three samples of 20 spins each.  Then calculate the proportion of heads in each of those samples.  (The sample proportions should be multiples of 0.1 in the samples of 10, and multiples of 0.05 in the samples of 20.)

 

             spin:

1

2

3

4

5

6

7

8

9

10

prop. of H’s

sample 1

 

 

 

 

 

 

 

 

 

 

 

sample 2

 

 

 

 

 

 

 

 

 

 

 

sample 3

 

 

 

 

 

 

 

 

 

 

 

 

             spin:

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

prop.  H’s

sample1

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

sample2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

sample3

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Last but not least, I want you to draw three random samples of 20 students from the 1995 Witt New Student population, listed on the back of this sheet, and record the proportion of students from Ohio in each of your three samples.  (Be sure to use three-digit numbers in your randomization.)

 

 

proportion from Ohio

sample 1

 

sample 2

 

sample 3

 



  001 IN

 002 OH

 003 IN

 004 IL

 005 OH

 006 OH

 007 OH

 008 IL

 009 OH

 010 OH

 011 OH

 012 OH

 013 XX

 014 OH

 015 OH

 016 OH

 017 PA

 018 OH

 019 OH

 020 IN

 021 OH

 022 IL

 023 IN

 024 OH

 025 OH

 026 OH

 027 OH

 028 OH

 029 OH

 030 XX

 031 OH

 032 NJ

 033 OH

 034 MA

 035 MI

 036 OH

 037 OH

 038 OH

 039 KY

 040 OH

 041 TN

 042 OH

 043 IL

 044 TX

 045 OH

 046 OH

 047 OH

 048 OH

 049 OH

 050 ME

 051 OH

 052 OH

 053 OH

 054 OH

 055 NE

 056 OH

 057 OH

 058 OH

 059 OH

 060 MI

 061 OH

 062 MD

 063 OH

 064 OH

 065 KY

 066 IL

 067 OH

 068 XX

 069 OH

 070 OH

 071 OH

 072 OH

 073 OH

 074 OH

 075 OH

 076 PA

 077 CT

 078 OH

 079 OH

 080 DE

 081 OH

 082 OH

 083 IL

 084 OH

 085 MI

 086 OH

 087 MI

 088 TN

 089 OH

 090 OH

 091 MN

 092 CT

 093 OH

 094 OH

 095 MI

 096 OH

 097 XX

 098 OH

 099 OH

 100 NC

 101 OH

 102 OH

 103 CT

 104 XX

 105 OH

 106 KY

 107 OH

 108 OH

 109 OH

 110 IL

 111 IN

 112 DC

 113 OH

 114 OH

 115 OH

 116 OH

 117 OH

 118 OH

 119 UT

 120 OH

 121 MA

 122 OK

 123 OH

 124 XX

 125 OH

 126 MD

 127 IN

 128 OH

 129 OH

 130 NJ

 131 OH

 132 OH

 133 XX

 134 IL

 135 MI

 136 NY

 137 MI

 138 OH

 139 OH

 140 OH

 141 XX

 142 OH

 143 IL

 144 OH

 145 KY

 146 VA

 147 OH

 148 OH

 149 OH

 150 OH

 151 XX

 152 OH

 153 IL

 154 MN

 155 OH

 156 OH

 157 OH

 158 OH

 159 GA

 160 SC

 161 MN

 162 OH

 163 OH

 164 OH

 165 OH

 166 PA

 167 OH

 168 OH

 169 OH

 170 OH

 171 OH

 172 OH

 173 OH

 174 OH

 175 OH

 176 OH

 177 IL

 178 OH

 179 OH

 180 OH

 181 NC

 182 OH

 183 OH

 184 FL

 185 OH

 186 OH

 187 OH

 188 OH

 189 OH

 190 OH

 191 IN

 192 OH

 193 OH

 194 OH

 195 OH

 196 OH

 197 OH

 198 OH

 199 TN

 200 CA

 201 MI

 202 OH

 203 KY

 204 IL

 205 IN

 206 OH

 207 CT

 208 OH

 209 FL

 210 OH

 211 OH

 212 IN

 213 OH

 214 OH

 215 IL

 216 XX

 217 OH

 218 OH

 219 IN

 220 OH

 221 NY

 222 PA

 223 OH

 224 MI

 225 NY

 226 MI

 227 OH

 228 IL

 229 MO

 230 PA

 231 NY

 232 OH

 233 OH

 234 OH

 235 XX

 236 FL

 237 OH

 238 OH

 239 OH

 240 OH

 241 OH

 242 XX

 243 OH

 244 OH

 245 XX

 246 NE

 247 NY

 248 MI

 249 OH

 250 OH

 251 OH

 252 OH

 253 MA

 254 OH

 255 TN

 256 OH

 257 OH

 258 OH

 259 OH

 260 AZ

 261 OH

 262 OH

 263 MA

 264 NJ

 265 OH

 266 OH

 267 OH

 268 OH

 269 OH

 270 MA

 271 NY

 272 OH

 273 OH

 274 OH

 275 OH

 276 IL

 277 OH

 278 OH

 279 OH

 280 OH

 281 MD

 282 OH

 283 OH

 284 OH

 285 OH

 286 MD

 287 MI

 288 OH

 289 OH

 290 OH

 291 OH

 292 OH

 293 OH

 294 OH

 295 OH

 296 OH

 297 IL

 298 IN

 299 OH

 300 IN

 301 FL

 302 PA

 303 PA

 304 OH

 305 IL

 306 IL

 307 OH

 308 OH

 309 MD

 310 OH

 311 OH

 312 MN

 313 OH

 314 IL

 315 OH

 316 OH

 317 OH

 318 IN

 319 OH

 320 OH

 321 OH

 322 IL

 323 OH

 324 PA

 325 OH

 326 PA

 327 IN

 328 OH

 329 OH

 330 MI

 331 OH

 332 NY

 333 IL

 334 NY

 335 XX

 336 GU

 337 OH

 338 CO

 339 OH

 340 OH

 341 OH

 342 IN

 343 OH

 344 OH

 345 CO

 346 XX

 347 OH

 348 OH

 349 OH

 350 MI

 351 OH

 352 OR

 353 OH

 354 OH

 355 OH

 356 OH

 357 OH

 358 OH

 359 OH

 360 OH

 361 XX

 362 OH

 363 OH

 364 XX

 365 IN

 366 OH

 367 OH

 368 XX

 369 OH

 371 OH

 372 OH

 373 OH

 374 OH

 375 OH

 376 OH

 377 OH

 378 OH

 379 OH

 380 KY

 381 IN

 382 MA

 383 OH

 384 OH

 385 OH

 386 XX

 387 IN

 388 XX

 389 OH

 390 MI

 391 KY

 392 OH

 393 OH

 394 IN

 395 OH

 396 OH

 397 OH

 398 IN

 399 OH

 400 OH

 401 KY

 402 OH

 403 IN

 404 MI

 405 IN

 406 OH

 407 OH

 408 OH

 409 PA

 410 OH

 411 OH

 412 OH

 413 OH

 414 OH

 415 OH

 416 MI

 417 OH

 418 OH

 419 NY

 420 OH

 421 OH

 422 OH

 423 OH

 424 OH

 425 OH

 426 OH

 427 OH

 428 NC

 429 IL

 430 OH

 431 CA

 432 OH

 433 OH

 434 IN

 435 MI

 436 OH

 437 OH

 438 OH

 439 OH

 440 TN

 441 OH

 442 IN

 443 MD

 444 OH

 445 NY

 446 OH

 447 PA

 448 OH

 449 KY

 450 OH

 451 OH

 452 NY

 453 OH

 454 OH

 455 OH

 456 OH

 457 NY

 458 NY

 459 OH

 460 OH

 461 OH

 462 OH

 463 FL

 464 OH

 465 OH

 466 OH

 467 IN

 468 NY

 469 OH

 470 MI

 471 XX

 472 OH

 473 XX

 474 PA

 475 OH

 476 PA

 477 OH

 478 PA

 479 NH

 480 OH

 481 MI

 482 IN

 483 KY

 484 OH

 485 MD

 486 PA

 487 OH

 488 OH

 489 OH

 490 IN

 491 OH

 492 MI

 493 OH

 494 XX

 495 OH

 496 OH

 497 MO

 498 OH

 499 OH

 500 OH

 501 OH

 502 OH

 503 OH

 504 IN

 505 MI

 506 OH

 507 XX

 508 CO

 509 OH

 510 OH

 511 OH

 512 IL

 513 OH

 514 OH

 515 OH

 516 OH

 517 NY

 518 NY

 519 OH

 520 OH

 521 IL

 522 OH

 523 OH

 524 OH

 525 OH

 526 OH

 527 OH

 528 OH

 529 OH

 530 IN

 531 OH

 532 OH

 533 OH

 534 OH

 535 OH

 536 OH

 537 OH

 538 XX

 539 WV

 540 OH

 541 MI

 542 OH

 543 OH

 544 OH

 545 OH

 546 NY

 547 OH

 548 OH

 549 TX

 550 OH

 551 WV

 552 OH

 553 MA

 554 OH

 555 OH

 556 OH

 557 IL

 558 OH

 559 OH

 560 OH

 561 OH

 562 OH

 563 OH

 564 MA

 565 OH

 566 OH

 567 OH

 568 OH

 569 NY

 570 KY

 571 OH

 572 OH

 573 OH

 574 NY

 575 PA

 576 IL

 577 OH

 578 OH

 579 IN

 580 XX

 581 PA

 582 KY

 583 DC

 584 NH

 585 OH

 586 OH

 587 XX

 588 OH

 589 IN

 590 OH

 591 OH

 592 IN

 593 OH

 594 OH

 595 MI

 596 OH

 597 OH

 598 MI

 599 OH

 600 OH

 601 OH

 602 NY

 603 OH

 604 OH

 605 OH

 606 OH

 607 OH

 608 TX

 609 OH

 610 OH