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# Prepare a report- how the variables contribute to the success of a motion picture

Question # 00008674
Subject: Mathematics
Due on: 02/28/2014
Posted On: 02/18/2014 11:46 PM

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Prepare a report (see below) using the numerical methods of descriptive statistics presented in this module to learn how the variables contribute to the success of a motion picture. Be sure to include the following three (3) items in your report.

1. Descriptive statistics (5-number summary, mean, mode, range and standard deviation) for each of the four variables along with an explanation of what the descriptive statistics tell us about the motion picture industry.

2. What motion pictures, if any, should be considered high-performance outliers in each of the four variables? If there are any outliers in any category, please list them and state for which category they are an outlier. Describe which method you used to determine if there were or not.

3. Descriptive statistics (correlation coefficient) showing the relationship between total gross sales and each of the other three variables. Please provide an explanation of the relationships.

 Rank Movie Title Opening Gross Total Gross Theaters Weeks 1 Spider-Man 3 1511,16,516 3365,30,303 4,324 15 2 Shrek the Third 1216,29,270 3227,19,944 4,172 12 3 Transformers 705,02,384 3192,46,193 4,050 18 4 Pirates of the Caribbean: At World's End 1147,32,820 3094,20,425 4,362 19 5 Harry Potter and the Order of the Phoenix 771,08,414 2920,04,738 4,285 22 6 I Am Legend 772,11,321 2563,93,010 3,648 17 7 The Bourne Ultimatum 692,83,690 2274,71,070 3,701 17 8 National Treasure: Book of Secrets 447,83,772 2199,64,115 3,832 26 9 Alvin and the Chipmunks 443,07,417 2173,26,974 3,499 25 10 300 708,85,301 2106,14,939 3,280 18 11 Ratatouille 470,27,395 2064,45,654 3,940 24 12 The Simpsons Movie 740,36,787 1831,35,014 3,926 21 13 Wild Hogs 396,99,023 1682,73,550 3,401 22 14 Knocked Up 306,90,990 1487,68,917 2,975 17 15 Juno 4,13,869 1434,95,265 2,534 28 16 Rush Hour 3 491,00,158 1401,25,968 3,778 14 17 Live Free or Die Hard 333,69,559 1345,29,403 3,411 19 18 Fantastic Four: Rise of the Silver Surfer 580,51,684 1319,21,738 3,963 18 19 American Gangster 435,65,115 1301,64,645 3,110 13 20 Enchanted 344,40,317 1278,07,262 3,730 16 21 Bee Movie 380,21,044 1266,31,277 3,984 15 22 Superbad 330,52,411 1214,63,226 3,069 9 23 I Now Pronounce You Chuck and Larry 342,33,750 1200,59,556 3,501 13 24 Hairspray (2007) 274,76,745 1188,71,849 3,121 14 25 Blades of Glory 330,14,202 1185,94,548 3,467 15 26 Ocean's Thirteen 361,33,403 1171,54,724 3,565 15 27 Ghost Rider 453,88,836 1158,02,596 3,620 10 28 Evan Almighty 311,92,615 1004,62,298 3,636 15 29 Meet the Robinsons 251,23,781 978,22,171 3,435 23 30 Norbit 341,95,434 956,73,607 3,145 12 31 The Bucket List 3,35,837 934,66,502 2,915 23 32 The Game Plan 229,50,971 906,48,202 3,342 20 33 Beowulf 275,15,871 822,80,579 3,249 11 34 Bridge to Terabithia 225,64,612 822,72,442 3,210 19 35 Disturbia 222,24,982 802,09,692 3,132 16 36 No Country for Old Men 12,26,333 742,83,625 2,037 22 37 Fred Claus 185,15,473 720,06,777 3,603 14 38 1408 206,17,667 719,85,628 2,733 16 39 The Golden Compass 257,83,232 701,07,728 3,528 13 40 Charlie Wilson's War 96,56,250 666,61,095 2,594 11 41 Saw IV 317,56,764 633,00,095 3,183 7 42 Stomp the Yard 218,33,312 613,56,221 2,169 9 43 Surf's Up 176,40,249 588,67,694 3,531 11 44 Halloween (2007) 263,62,367 582,72,029 3,475 15 45 Tyler Perry's Why Did I Get Married? 213,53,789 552,04,525 2,034 9 46 TMNT 242,55,205 541,49,098 3,120 13 47 P.S. I Love You 64,81,221 536,95,808 2,471 12 48 3:10 to Yuma (2007) 140,35,033 536,06,916 3,006 10 49 Sweeney Todd: The Demon Barber of Fleet Street 93,00,805 528,98,073 1,507 13 50 Atonement 7,84,145 509,27,067 1,400 18 51 Resident Evil: Extinction 236,78,580 506,48,679 2,848 5 52 Music and Lyrics 136,23,630 505,72,589 2,955 13 53 Are We Done Yet? 142,62,724 496,62,533 2,944 13 54 This Christmas 179,58,183 491,21,934 1,921 7 55 Michael Clayton 7,19,910 490,33,882 2,585 24 56 Premonition 175,58,689 478,52,604 2,831 6 57 Dan in Real Life 118,09,445 476,42,963 1,941 15 58 The Kingdom 171,35,055 475,36,778 2,836 13 59 Shooter 145,23,571 470,03,582 2,806 12 60 License to Wed 104,22,258 437,99,818 2,715 13 61 Underdog 115,85,121 437,60,605 3,013 19 62 No Reservations 117,04,357 431,07,979 2,425 16 63 Because I Said So 131,22,865 426,74,040 2,529 9 64 Aliens Vs. Predator - Requiem 100,59,425 417,97,066 2,617 13 65 The Water Horse: Legend of the Deep 91,86,054 409,46,255 2,777 7 66 There Will Be Blood 1,90,739 402,22,514 1,620 18 67 Epic Movie 186,12,544 397,39,367 2,840 14 68 Hitman 131,80,769 396,87,694 2,468 16 69 30 Days of Night 159,51,902 395,68,996 2,859 5 70 Fracture 110,14,657 390,15,018 2,443 14 71 Stardust 91,69,779 386,34,938 2,565 11 72 The Brave One 134,71,488 367,93,804 2,837 11 73 The Heartbreak Kid 140,22,105 367,87,257 3,233 9 74 Freedom Writers 94,05,582 366,05,602 2,286 10 75 Smokin' Aces 146,38,755 357,87,686 2,219 7 76 The Messengers 147,13,321 353,74,833 2,529 6 77 The Number 23 146,02,867 351,93,167 2,759 5 78 Good Luck Chuck 136,52,001 350,17,297 2,612 8 79 Mr. Bean's Holiday 98,89,780 333,02,167 1,778 8 80 Breach 105,04,990 332,31,264 1,505 8 81 Zodiac 133,95,610 330,80,084 2,379 9 82 Balls of Fury 113,52,123 328,86,940 3,081 11 83 Mr. Magorium's Wonder Emporium 96,30,085 320,61,555 3,168 17 84 August Rush 94,21,369 316,64,162 2,310 14 85 Tyler Perry's Daddy's Little Girls 112,10,754 313,66,978 2,111 6 86 The Great Debaters 60,05,180 302,36,407 1,290 16 87 28 Weeks Later 98,07,292 286,38,916 2,305 14 88 We Own the Night 108,26,287 285,63,179 2,402 4 89 Mr. Brooks 100,17,067 285,49,298 2,453 11 90 Hannibal Rising 130,51,650 276,70,986 3,003 13 91 The Nanny Diaries 74,80,927 259,30,652 2,636 14 92 Mr. Woodcock 87,61,369 257,99,486 2,237 9 93 Nancy Drew 68,32,318 256,12,520 2,612 11 94 The Mist 89,31,973 255,94,957 2,423 17 95 The Reaping 100,25,203 251,26,214 2,603 9 96 Grindhouse 115,96,613 250,37,897 2,629 11 97 Sicko 68,969 245,40,079 1,117 17 98 Across the Universe 6,67,784 243,43,673 964 12 99 Perfect Stranger 112,06,163 239,84,949 2,661 6 100 Sea Monsters: A Prehistoric Adventure (IMAX) 6,05,722 237,46,066 252 49

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#### Prepare a report- how the variables contribute to the success of a motion picture

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Posted On: 02/18/2014 11:49 PM
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Tutorial Preview …the xxxxxx of xxxxx of the xxxxxxxxx run was xxxxxxxx The xxxxxxx xx the xxxxxxxx are described xxxxx The initial xxxxxxxx involved xxxxxxxxxxx xxx typical xxxxxxxx summary, mean, xxxxx range, and xxxxxxxx deviation xxx xxxx of xxx variables The xxxxxxx are summarized xx the xxxxx xxxxx Opening xxxxx Total Gross xxxxxxxx Weeks Low xxxxxx 23,746,066 xxx x Q1 xxxxxxxxxx 35,684,472 75 xxxx 50 10 xxxxxx 14,620,811 xxxxxxxxxx xxxx 13 xx 32,071,123 50 xxxxxxxxxxx 3417 17 xxxx 151,116,516 xxxxxxxxxxx xxxx 49 xxxx 24,862,477 45 xxxxxxxxxx 84 2856 xx 14 xx xxxx None xxxx 2529 13 xxxxx 151,047,547 312,784,237 xxxx 45 xxx xxx 25,900,910 xx 75,282,256 72 xxx 39 6 xx The xxxxxxxxxxx xxxxxxxxxx in xxx table above xxxxxxxxxx some facets xx the xxxxx xxxxxxxx Looking xx the Opening xxxxx column, it xxx be xxxx xxxx the xxxxxx value is xxxxxxxxxxxx indicating that xxxx of xxx xxxxxx in xxx sample brought xx less than xxxx amount, xxxxx xxx other xxxx brought in xxxx The revenues xxxxxx from x xxx of xxxxxxx to \$151,116,516, xx a total xxxxx of xxxxxxxxxxxx xxxxx was xx mode, which xxxxx that each xxxxx title xxx x unique xxxxx for its xxxxxxx gross revenue xxx average xxxxxxx xxxxx revenue xxx \$24,862,477, with x standard deviation xx the xxxxxxx xxxxxxx values xxx \$25,900,910 This xxxxxxxxx that the xxxxxxx opening xxxxx xx quite xxxxxxxxxxxx but with xxxx a large xxxxxxxx deviation xxxxxx xxxxx is x very high xxxxxx of variation xx the xxxxxxx xxxxx revenue xxxxxx The Total xxxxx values can xx similarly xxxxxxxxxx xxx median xxxxx here is xxxxxxxxxxxx and the xxxxx of xxxxxxxx xxxxxxx from xxxxxxxxxxx to \$336,530,303, xx a total xxxxx of xxxxxxxxxxxx …
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Movies.docx (129.53 KB)
Preview: in xxxx report x Descriptive statistics xxxxxxxxx summary, mean, xxxxx range xxx xxxxxxxx deviation) xxx each of xxx four variables xxxxx with xx xxxxxxxxxxx of xxxx the descriptive xxxxxxxxxx tell us xxxxx the xxxxxx xxxxxxx industry x What motion xxxxxxxxx if any, xxxxxx be xxxxxxxxxx xxxxxxxxxxxxxxxx outliers xx each of xxx four variables? xx there xxx xxx outliers xx any category, xxxxxx list them xxx state xxx xxxxx category xxxx are an xxxxxxx Describe which xxxxxx you xxxx xx determine xx there were xx not 3 xxxxxxxxxxx statistics xxxxxxxxxxxx xxxxxxxxxxxx showing xxx relationship between xxxxx gross sales xxx each xx xxx other xxxxx variables Please xxxxxxx an explanation xx the xxxxxxxxxxxxx xx analysis xx 100 movie xxxxxx has been xxxxxxxxx in xxxxx xx explore xxx performance of xxx movie industry xxx available xxxx xxxxxxxx the xxxxx gross revenue xxx opening gross xxxxxxx for xxxx xx the xxxxx titles In xxxxxxxxx the number xx theaters xxxx xxxx movie xxx shown on, xxx the number xx weeks xx xxx movie’s xxx was included xxx results of xxx analysis xxx xxxxxxxxx below xxx initial analysis xxxxxxxx determining the xxxxxxx 5-number xxxxxxxx xxxxx mode, xxxxxx and standard xxxxxxxxx for each xx the xxxxxxxxx xxx results xxx summarized in xxx table belowOpening xxxxxxxxxx GrossTheatersWeeksLow68,96923,746,0662524Q110,023,16935,684,472 xxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 50117,514,680341717High151,116,516336,530,303436249Mean24,862,477 xxxxxxxxxxxx 842856 3514 xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Dev 25,900,910 xxxxxxxxxxxx 72766 xxx xxxxx descriptive xxxxxxxxxx in the xxxxx above illustrate xxxx facets xx xxx movie xxxxxxxx Looking at xxx Opening Gross xxxxxxx it xxx xx seen xxxx the median xxxxx is \$14,620,811, xxxxxxxxxx that xxxx xx the xxxxxx in the xxxxxx brought in xxxx than.....
Movies.xlsx (59 KB)
Preview: Will xx BloodEpic xxxxxxxxxxxxx Days of xxxxxxxxxxxxxxxxxxxxxxxx Brave OneThe xxxxxxxxxx KidFreedom xxxxxxxxxxxxxx xxxxxxx MessengersThe xxxxxx 23Good Luck xxxxxxx Bean's HolidayBreachZodiacBalls xx FuryMr xxxxxxxxxx xxxxxx EmporiumAugust xxxxxxxxx Perry's Daddy's xxxxxx GirlsThe Great xxxxxxxxxx Weeks xxxxxxx xxx the xxxxxxx .....
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