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EYWH self report 100%

Neither agree or disagree d. Disagree e.

https://www.pdf-archive.com/2016/02/01/eywh-self-report/

01/02/2016 www.pdf-archive.com

Online Questionnaire - Google Forms 99%

1 2 3 4 5 Disagree Agree 11. When I am online I don't think about my responsibilities Mark only one oval.

https://www.pdf-archive.com/2016/07/27/online-questionnaire-google-forms/

27/07/2016 www.pdf-archive.com

MORI Poll on Refugees - September 2016 - Tables 96%

Thinking about the UK , do you agree or disagree with the following statements:

https://www.pdf-archive.com/2016/09/26/mori-poll-on-refugees-september-2016-tables/

26/09/2016 www.pdf-archive.com

MORI British Council Brexit Polling - Tables 94%

16‐062328‐01 ‐ Public ‐ Final As Others See Us ‐ Post EU Referendum 2016 ‐ Global Tabs 8th September ‐ 16th October Sub‐section of general public (18‐34 year olds with secondary education) Q13. Thinking specifically about the UK, to what extent do you agree or disagree with the following statements? ‐ People from the UK value diversity and cultural difference All participants Data for the Rest of G20 not included in this tables Total Total (A) Unweighte d Country groups Western  Commonw Europe ealth (a) (b) BRICs (c) Total Trend Pre‐ Referendu m wave (X) Unweighted base 19010 3002 3998 3999 19010 20594 Weighted base 19010 3002 3998 3999 19010 19032 34 1% 38 1% 259 1% 201 1% 50 1% 44 1% 292 2% 237 1% 0 ‐ Strongly disagree (0) 1 2 260 1% 42 1% DGKNRbcX b 286 2% 53 2% GUcX c 490 3% 82 3% 86 2% 79 2% 482 3% 409 2% 141 4% 162 4% 825 4% 670 4% BGHJKUcX 3 4 833 4% 170 6% GJKNUbX Abc 1175 6% 164 5% 258 6% 230 6% 1172 6% 1060 6% 402 13% 552 14% 552 14% 2652 14% 2554 13% 417 14% 596 15% 539 13% 2566 13% 2548 13% 684 17% 657 16% 3085 16% 3150 17% 620 16% 678 17% 2692 14% 2902 15% A Aab 170 6% 330 8% 392 10% 1403 7% 1541 8% Aa Aab 97 3% 200 5% 252 6% 986 5% 1057 6% a Aab 2569 14% 462 15% 447 11% 376 9% 2596 14% 2702 14% GJKLNOQSTV Ybc Abc c 10749 57% 1628 54% 2430 61% 2519 63% 10732 56% 11198 59% Aa Aab 402 13% 552 14% 552 14% 2652 14% 2554 13% 569 14% 553 14% 3030 16% 2578 14% 6.40 6.54 6.26 6.43 Aa Aab GKLNUX 5 2646 14% BFGN 6 2576 14% CENPS 7 8 Ac 3080 16% 530 18% BCEMPS A 2718 14% 414 14% CEIMPRS 9 1391 7% CHIMRa 10 ‐ Strongly agree (10) 985 5% CDFHIMRTa Don’t know NET: Agree (codes 6‐10) CEIMPRSYa NET: Neither (5) 2646 14% NET: Disagree (codes 0‐4) 3045 16% 511 17% DGHJKLNUbc X bc 6.25 6.07 A A A BFGN Mean CIMRSYa A Overlap formulae used ColumnProportions (5%): A/B,A/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U,A/V/W/Y/Z,A/a/b/c,A/X   Minimum Base: 30(**) Small Base: 100(*) ColumnMeans (5%): A/B,A/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U,A/V/W/Y/Z,A/a/b/c,A/X   Minimum Base: 30(**) Small Base: 100(*) 1 16‐062328‐01 ‐ Public ‐ Final As Others See Us ‐ Post EU Referendum 2016 ‐ Global Tabs 8th September ‐ 16th October Sub‐section of general public (18‐34 year olds with secondary education) Q13. Thinking specifically about the UK, to what extent do you agree or disagree with the following statements? ‐ People from the UK are open and welcoming All participants Data for the Rest of G20 not included in this tables Total Total (A) Unweighte d Country groups Western  Commonw Europe ealth (a) (b) BRICs (c) Total Trend Pre‐ Referendu m wave (X) Unweighted base 19010 3002 3998 3999 19010 20594 Weighted base 19010 3002 3998 3999 19010 19032 273 1% 28 1% 30 1% 49 1% 278 1% 221 1% 0 ‐ Strongly disagree (0) DFGJKNabX 1 340 2% b 52 2% 55 1% 68 2% 348 2% 283 1% 78 2% 103 3% 561 3% 490 3% 966 5% 836 4% FGKNUbX 2 3 4 5 560 3% 91 3% BDGJKUbX b 979 5% 151 5% DFGHJKUbX b 1372 7% 243 8% GJKNUb bc 2816 15% b 140 3% 187 5% b 259 6% 267 7% 1354 7% 1341 7% 456 15% 553 14% 607 15% 2822 15% 2734 14% 533 13% 2686 14% 2631 14% 653 16% 2960 16% 3076 16% 574 14% 549 14% 2341 12% 2554 13% Aa Aa 162 5% 322 8% 333 8% 1234 6% 1276 7% Aa Aa 80 3% 237 6% 225 6% 875 5% 858 5% Aa Aa 417 10% 425 11% 2585 14% 2731 14% BJNPU 6 7 2687 14% 486 16% 620 16% CMNS Ac Ac 2956 16% 501 17% 712 18% BCEMPS 8 2345 12% Ac 343 11% CEIMOPR 9 1245 7% CEHLMORa 10 ‐ Strongly agree (10) 875 5% CHLMRTVa Don’t know NET: Agree (codes 6‐10) 2562 13% 409 14% GJKLQSTVYbc bc 10108 53% 1571 52% NET: Neither (5) 2816 15% A 2465 62% 2292 57% Aac Aa 456 15% 553 14% 562 14% CEMORS A 10096 53% 10395 55% 607 15% 2822 15% 2734 14% 675 17% 3507 18% 3171 17% 6.05 6.17 A BJNPU NET: Disagree (codes 0‐4) Mean 3524 19% 566 19% DFGHJKNUbc X bc 6.05 5.92 CELMORSYa b 6.42 6.25 Aac Aa A Overlap formulae used ColumnProportions (5%): A/B,A/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U,A/V/W/Y/Z,A/a/b/c,A/X   Minimum Base: 30(**) Small Base: 100(*) ColumnMeans (5%): A/B,A/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U,A/V/W/Y/Z,A/a/b/c,A/X   Minimum Base: 30(**) Small Base: 100(*) 2 16‐062328‐01 ‐ Public ‐ Final As Others See Us ‐ Post EU Referendum 2016 ‐ Global Tabs 8th September ‐ 16th October Sub‐section of general public (18‐34 year olds with secondary education) Q13. Thinking specifically about the UK, to what extent do you agree or disagree with the following statements? ‐ The UK has world leading arts and cultural institutions and attractions (eg theatres, museums and galleries) All participants Data for the Rest of G20 not included in this tables Total Total (A) Unweighte d Country groups Western  Commonw Europe ealth (a) (b) BRICs (c) Total Trend Pre‐ Referendu m wave (X) Unweighted base 19010 3002 3998 3999 19010 20594 Weighted base 19010 3002 3998 3999 19010 19032 123 1% 11 * 19 * 31 1% 125 1% 111 1% 0 ‐ Strongly disagree (0) KRa 1 159 1% ab 18 1% 35 1% 35 1% 160 1% 162 1% 28 1% 61 2% 64 2% 256 1% 299 2% a a 105 3% 133 3% 544 3% 556 3% 881 5% 891 5% FKR 2 259 1% GKLRa 3 547 3% 66 2% GLRUa 4 887 5% ab 121 4% 177 4% HKLV 5 2154 11% 237 6% Aab 314 10% 442 11% 455 11% 2161 11% 2224 12% 427 14% 556 14% 564 14% 2584 14% 2392 13% 3420 18% 580 19% 731 18% 682 17% 3428 18% 3297 17% EMPS c 3388 18% 551 18% 700 18% 769 19% 3371 18% 3400 18% 410 10% 1880 10% 1957 10% FGL 6 2595 14% NPX 7 8 EMPS 9 1880 10% Ab 298 10% DEMO 10 ‐ Strongly agree (10) 1471 8% 434 11% A 232 8% 314 8% 306 8% 1468 8% 1444 8% 312 8% 2152 11% 2297 12% CHMR Don’t know NET: Agree (codes 6‐10) NET: Neither (5) 2127 11% 356 12% 422 11% GJKLNOQRTV Yc c c 12754 67% 2088 70% 2736 68% BCEHMOPSX A A 2154 11% 314 10% 244 8% A 2732 68% 12731 67% 12491 66% 442 11% 455 11% 2161 11% 2224 12% 397 10% 500 13% 1966 10% 2020 11% a Aab 6.74 6.80 6.80 FGL NET: Disagree (codes 0‐4) 1975 10% GHKLNRUVa Mean 6.80 6.94 6.85 CEMOSYc Ac c Overlap formulae used ColumnProportions (5%): A/B,A/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U,A/V/W/Y/Z,A/a/b/c,A/X   Minimum Base: 30(**) Small Base: 100(*) ColumnMeans (5%): A/B,A/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U,A/V/W/Y/Z,A/a/b/c,A/X   Minimum Base: 30(**) Small Base: 100(*) 3 16‐062328‐01 ‐ Public ‐ Final As Others See Us ‐ Post EU Referendum 2016 ‐ Global Tabs 8th September ‐ 16th October Sub‐section of general public (18‐34 year olds with secondary education) Q13. Thinking specifically about the UK, to what extent do you agree or disagree with the following statements? ‐ The UK has world leading Universities and academic research All participants Data for the Rest of G20 not included in this tables Total Total (A) Unweighte d Country groups Western  Commonw Europe ealth (a) (b) BRICs (c) Total Trend Pre‐ Referendu m wave (X) Unweighted base 19010 3002 3998 3999 19010 20594 Weighted base 19010 3002 3998 3999 19010 19032 8 * 19 * 93 * 128 1% 118 1% 146 1% 206 1% 240 1% 354 2% 391 2% 668 4% 711 4% 1829 10% 1824 10% 0 ‐ Strongly disagree (0) 89 * 15 * GKVb b 1 115 1% 8 * 23 1% 26 1% 2 209 1% 33 1% 23 1% 47 1% GKRb b 352 2% 33 1% b FRa 3 a b 46 1% DKLQab 4 670 4% 1830 10% 104 3% 116 3% 2076 11% 160 4% b 290 10% 344 9% CFLTb 6 107 3% Aab FKb 5 A 416 10% b 341 11% 422 11% 424 11% 2066 11% 2060 11% 634 16% 3164 17% 3122 16% 3611 19% 3459 18% 2518 13% 2516 13% 2037 11% 2022 11% NP 7 8 3146 17% 558 19% 712 18% BCMNPS Ac Ac 3641 19% 601 20% 823 21% 837 21% A A 600 15% 584 15% Aa Aa 444 11% 454 11% a a 292 7% 2346 12% 2414 13% 13396 70% 13179 69% 1829 10% 1824 10% 1439 8% 1615 8% EMPRSX 9 2530 13% 365 12% DEHMR 10 ‐ Strongly agree (10) 2038 11% 248 8% DFGHIMRa Don’t know NET: Agree (codes 6‐10) 2316 12% 405 14% 436 11% GJKNOQSTV WYbc Abc c 13429 71% 2113 70% 3002 75% 2933 73% Aac Aa 344 9% 416 10% BEHMRSX NET: Neither (5) 1830 10% 290 10% CFLTb NET: Disagree (codes 0‐4) 1435 8% b 193 6% 217 5% DFGKLNQab Mean 7.20 EHIMORSX 358 9% Aab 7.15 7.39 7.18 A 7.19 7.13 Aac Overlap formulae used ColumnProportions (5%): A/B,A/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U,A/V/W/Y/Z,A/a/b/c,A/X   Minimum Base: 30(**) Small Base: 100(*) ColumnMeans (5%): A/B,A/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U,A/V/W/Y/Z,A/a/b/c,A/X   Minimum Base: 30(**) Small Base: 100(*) 4 16‐062328‐01 ‐ Public ‐ Final As Others See Us ‐ Post EU Referendum 2016 ‐ Global Tabs 8th September ‐ 16th October Sub‐section of general public (18‐34 year olds with secondary education) Q14. And again thinking specifically about the UK, to what extent do you agree or disagree with the following statements? ‐ The UK is a global power All participants Data for the Rest of G20 not included in this tables Total Total (A) Unweighte d Country groups Western  Commonw Europe ealth (a) (b) BRICs (c) Total Trend Pre‐ Referendu m wave (X) Unweighted base 19010 3002 3998 3999 19010 20594 Weighted base 19010 3002 3998 3999 19010 19032 14 * 42 1% 174 1% 171 1% 0 ‐ Strongly disagree (0) 1 2 3 4 5 176 1% 37 1% BDGQRb b 223 1% 44 1% EFGLRU b 299 2% 53 2% KLRb b 568 3% 109 4% b 36 1% 47 1% 224 1% 203 1% 43 1% 64 2% 304 2% 361 2% 567 3% 609 3% b A 85 2% 141 4% 148 4% 178 4% 924 5% 887 5% FQUb Ab 922 5% 192 6% Ab GQUb Abc 2224 12% 363 12% 460 12% 460 12% 2239 12% 2231 12% 485 12% 2480 13% 2500 13% 658 16% 3231 17% 3144 17% 691 17% 3177 17% 3197 17% 440 11% 529 13% 2021 11% 2035 11% a Aab 330 8% 416 10% 1671 9% 1563 8% a Aab 288 7% 1998 11% 2131 11% LN 6 7 2474 13% 468 16% 563 14% CENOPS Ac Ac 3241 17% 539 18% 732 18% CENPS 8 3198 17% Ac 486 16% EIMPS 9 2019 11% Aa 238 8% DHIMRa 10 ‐ Strongly agree (10) 1681 9% 156 5% DFGHIKMRTV aX Don’t know NET: Agree (codes 6‐10) 1984 10% 316 11% 407 10% GJKLNOQRSTc c c 12614 66% 1887 63% 2806 70% 2779 69% Aa Aa 363 12% 460 12% 326 8% EIMOPSaX NET: Neither (5) 741 19% 2224 12% A 12580 66% 12440 65% 460 12% 2239 12% 2231 12% 472 12% 2193 12% 2231 12% 6.77 6.74 LN NET: Disagree (codes 0‐4) Mean 2188 12% 435 14% BCDFGKLQRU b Abc 6.78 6.42 HIMORSTVYa b 6.95 6.89 Aa Aa Overlap formulae used ColumnProportions (5%): A/B,A/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U,A/V/W/Y/Z,A/a/b/c,A/X   Minimum Base: 30(**) Small Base: 100(*) ColumnMeans (5%): A/B,A/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U,A/V/W/Y/Z,A/a/b/c,A/X   Minimum Base: 30(**) Small Base: 100(*) 5

https://www.pdf-archive.com/2016/12/22/mori-british-council-brexit-polling-tables/

22/12/2016 www.pdf-archive.com

Sign Up Form - STEM Interest Survey 88%

Strongly Disagree Disagree I like to imagine creating new products.

https://www.pdf-archive.com/2016/07/16/sign-up-form-stem-interest-survey/

16/07/2016 www.pdf-archive.com

merged document 32 87%

‘Considering all possible loca ons for a major housing scheme in Grendon Underwood this is good loca on:’ STRONGLY DISAGREE 1 NEUTRAL 2 3 STRONGLY AGREE 4 5 Statement 2:

https://www.pdf-archive.com/2016/10/12/merged-document-32/

12/10/2016 www.pdf-archive.com

MORI Poll on EU Perception - June 2016 - Tables 1 78%

All Adults aged 18-75 in Great Britain UK contributes too much to EU budget Total Agree Disagree EU generates too much red tape EU is undemocratic Attitudes to EU The standard of living EU makes doing Being part of EU for me and my family Number of immigrants business easier for the EU helps protect UK means there are more would be lower if the coming into the UK is UK in Europe from global terrorism jobs in the UK UK left the EU higher Agree Disagree Agree Disagree (A) (T) (U) (V) (W) (X) (Y) (Z) (a) (b) (c) (d) (e) (f) (g) (h) (i) (j) (k) (l) (m) 1000 587 124 390 212 665 81 612 110 347 290 328 306 296 286 610 133 583 178 292 434 Weighted Base 1000 587 124 389 212 665 81 612 110 347 290 328 306 297 285 609 133 582 179 292 433 The economy 501 50% 281 48% 79 64% 190 49% 128 60% 346 52% 41 51% 363 59% 40 37% 226 65% 109 38% 225 69% 122 40% 187 63% 129 45% 295 48% 82 62% 279 48% 102 57% 175 60% 188 44% * a j m 400 60% 11 14% 246 40% 24 14% 73 25% 275 63% Y * 81 38% 352 53% 23 29% 62 34% 101 35% 233 54% Y * 39 18% 362 55% 9 11% 21 12% 40 14% 306 71% Control over Britain’s laws 466 47% 381 65% 19 15% U National security 458 46% 316 54% Levels of EU migrants 438 44% 364 62% Protection of the NHS 430 43% EU migrants’ entitlement to UK benefits V 264 68% 47 22% W 218 56% 12 10% 235 61% Y * 288 49% 50 40% 173 45% 86 41% 301 45% 31 39% 415 42% 336 57% 16 13% 217 56% 37 17% 342 51% 9 11% Y * EU bureaucracy 303 30% 265 45% 6 5% 213 55% 21 10% 278 42% 3 4% Y * Britain’s influence on a global stage 286 29% 146 25% 54 44% 106 27% 78 37% 197 30% 26 32% * a 284 28% 110 19% 71 57% 77 20% 98 46% 161 24% 37 46% 227 37% X* a 26 32% 215 35% * a 8 10% 33 5% W U W Agree 80 73% 97 28% 272 45% 64 58% 211 35% 79 72% 268 44% W U W T Ability of UK and EU citizens to live and work across the EU V T Uncertainty of leaving the EU 252 25% 119 20% 43 35% V 75 19% T Other 50 5% 21 4% 10 8% 74 35% 170 26% V 17 4% 12 6% 29 4% T None of these 40 4% 16 3% 4 3% Agree Disagree e 203 70% 84 26% b Agree 211 69% 63 21% 372 61% i 117 40% 165 58% 320 53% f i 48 16% 199 70% 372 61% f i 116 39% 135 47% 49 17% 181 64% f i 31 11% 158 56% 254 42% f i 66 23% 45 16% 134 41% 172 56% 84 24% 198 68% 66 20% 213 70% 49 45% 134 39% 143 49% 120 37% 158 52% 208 34% 67 61% 78 23% 180 62% 64 20% 200 65% 150 25% 55 50% 45 13% 157 54% 44 13% 156 51% 216 35% 25 23% 148 43% 60 21% 134 41% 61 20% 122 41% 15 14% 149 43% 51 18% 159 49% 40 13% 146 49% d b d b Z 11 10% 139 40% 33 11% 19 6% k 16 12% 365 63% 283 47% 52 39% 278 48% 71 40% 114 39% 207 48% 348 57% 20 15% 342 59% 21 12% 44 15% 285 66% 14 11% 270 47% 13 7% 44 15% 183 42% 158 26% 54 41% 148 25% 74 42% 121 42% 93 21% j m 138 23% 72 54% 109 19% 97 54% 136 47% j m 65 37% 112 38% j m 18 10% 26 9% j m k 7 3% 16 2% 4 5% l k l 138 42% 36 12% 18 6% 126 43% h 26 9% 129 21% 19 6% 53 40% 109 19% h 17 6% 29 5% l k h g 11 4% k 9 7% 21 4% X* 13 3% l 317 55% g e 13 5% 391 67% 48 36% g e c 4 4% d e c 24 18% Disagree l d b c Agree d b Z Disagree h f 154 53% Z Agree 209 73% d Z Disagree g 160 46% * U Disagree c Z 48 39% U Disagree Attitudes to immigration Positive Negative impact on impact on Britain Britain Unweighted Base T Agree EU takes too much power away from Britain l 67 15% 75 17% 14 3% 17 3% 3 3% 8 2% 11 4% 6 2% 11 4% 9 3% 4 1% 13 2% 6 5% 14 2% 6 3% 7 2% 18 4% 9 2% 1 1% 5 2% 4 1% 4 1% 6 2% 4 1% 3 1% 11 2% 3 2% 9 2% 3 2% 7 2% 12 3% * Don’t know 42 4% 7 1% 3 2% 5 1% 3 1% 9 1% 2 3% * Overlap formulae used ColumnProportions (5%):

https://www.pdf-archive.com/2016/06/15/mori-poll-on-eu-perception-june-2016-tables-1/

15/06/2016 www.pdf-archive.com

TESTING application 2 77%

(Circle one) AGREE _____________________________ DISAGREE _______________________________________ PRINT NAME SIGNATURE ________________ DATE For Parents of member:

https://www.pdf-archive.com/2012/04/24/testing-application-2/

24/04/2012 www.pdf-archive.com

Data All 161206 77%

0 (no label) 0 Strongly Disagree (no label) 1 2 Disagree 8.33% 2 0.00% 0 3 4 Neutral 5 Agree 8.33% 2 1 / 13 33.33% 8 6 7 8 Strongly Agree 50.00% 12 9 Total 10 Weighted Average 24 4.17 CDL Forum Part II - Wed, Oct 26, 2016 SurveyMonkey Q2 Was the information provided at the CDL Forum useful to you?

https://www.pdf-archive.com/2017/02/07/data-all-161206/

07/02/2017 www.pdf-archive.com

HRF17 Training Evaluation Form 77%

TRAINING EVEALUATION Tick the appropriate column to indicate the extent to which you agree with the statements below Strongly Disagree 1 The objectives of the training were clearly defined 2 The topics covered were relevant to my needs at work 3 The facilitator was well-prepared and knowledgeable about the topic(s) 4 The training materials were easy to understand and helpful 5 The training-venue was conducive and I was able to concentrate on learning 6 The facilitator allowed sufficient room/time for questions and interaction in class 7 The objectives of the training were met 8 I know how to apply the new knowledge to my job 9 Overall, I am satisfied with the training Disagree Neutral Agree Strongly Agree Page 1 of 2 TRAINING EVALUATION FORM TULIP COCOA PROCESSING LTD.

https://www.pdf-archive.com/2018/09/24/hrf17training-evaluation-form/

24/09/2018 www.pdf-archive.com

HL-Conference-Event-Evaluation-UK 76%

The meeting with a human book provides unique insight into another person’s life The methodology (meting and dialogue) suits the theme and purpose of the day The dialogue with a human book promotes understanding and respect The lending was an opportunity to ask questions and gain new knowledge about each other A personal meeting provides something different than a lecture or presentation It’s important to have direct and personal access to the book Disagree 98% Disagree somewhat Neither agree or disagree Agree somewhat Agree think that they’ve gained new, useful, and actionable knowledge.

https://www.pdf-archive.com/2017/03/06/hl-conference-event-evaluation-uk/

06/03/2017 www.pdf-archive.com

FBI-pedophile-symbols 73%

Strongly Disagree Disagree Neither Agree or Disagree Agree Strongly Agree Not Applicable Product Title (U) Symbols and Logos Used by Pedophiles to Identify Sexual Preferences Product Date Customer Thank you for cooperation and assistance.

https://www.pdf-archive.com/2016/11/07/fbi-pedophile-symbols/

07/11/2016 www.pdf-archive.com

4852HW1 72%

Alex Pomerenk  arp257    1)  providers either good or bad,   p(negative experience) given provider is bad=.95  p(negative experience) given provider is good=.01    a)  providers are good, eg .005 are bad  p(b) given negative experience  p(bad|neg)=p(neg|bad)p(bad)/(p(neg|bad)p(bad)+p(neg|good)p(good)  =.95*.005/(.95*.005+.01*.995)  =.323=32.3%  if there is a second review that is bad, then that is the same as the probability that it is  bad from the first review OR the probability that it is bad from the second review. This  equals   P(bad|neg) || p(bad||neg)=p(bad|neg)+p(bad|neg)=2*32.3%  =64.6%    b)  providers are good, .7 are bad  p(bad|neg)=.95*.7/(.95*.7+.01*.3)  =.955=95.5%    2)  a)  1) disagree that they must, converse is not always true (if a­>b then not necessarily  b­>a)  2) agree, contrapositive is always true, if a­>b then !b­>!a  3) disagree, inverse is not always true, if a­>b then not necessarily !a­>!b  b)  1) david active, jessica not active; kim good scores, ethan not;  a) if you ask david if he got a good grade, and if he did, then that will confirm  the study (a­>b)  b) if you ask ethan if he participated and he didn’t, then that would also  confirm the study (!b­>!a)  c) if you ask kim if she participated and she did, then that would also confirm  the story (a­>b)  d) jessica’s grades will neither confirm or deny the study (!a does not lead to  anything)  3)  a) neither dominates the other, as b is more likeable but g has more convenience so  neither is at least as good as the other on both counts  b) G dominates F because 3>2 and 4>=4, dominates A because 3>1 and 3>=1,however G  is not pareto­optimal because it is dominated by C (3<4 and 4<8)  c) no it is not pareto­optimal because it is dominated by C(4<=4 and 8>3), however it  pareto­dominates A (4>1 and 3>=2)  d) no because there is no restaurant that is at least as good as all the others in both  categories, and so there can be no optimal restaurant      4) talked to Mike Merrill and Emmett Kotlikoff about this problem  a)  proof by counterexample:  take the example graph below  a­>d  b­>d  c­>d    the set {a,b} and the set {b,c} are both constricted sets, however, the intersection is the  set {b}. |N({b})|=1 and |{b}|=1. 1 !>1 so the intersection of two constricted sets is not  always a constricted set    b)  1) An augmented path alternates between nodes that are in the matching  and not in the matching. Because we cannot end the path at a matched  node, there has to be an unmatched node after. And since the path  always starts with an unmatched node, the path must always be of the  form unmatched, (matched, unmatched), (unmatched,matched), which  has length 1+2(number of sets of matched and unmatched nodes), which  is always an even number  2) Neither is true because the path can start with an unmatched or a  matched node, which means that it could have an odd or even length. 

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