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The motion picture industry is a competitive business. More than 50 studios produce a total of...

The motion picture industry is a competitive business. More than 50 studios produce a total of 300 to 400 new motion pictures each year, and the financial success of each motion picture varies considerably. Gross sales for the opening weekend, the total gross sales, the number of theaters the movie was shown in, and the number of weeks the motion picture was open are common variables used to measure the success of a motion picture. Data collected for a sample of 100 motion pictures produced in 20XX are contained in the file named Movies, linked at the bottom of the page. Use all 100 data points.

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

Descriptive statistics (mean, median, 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.

Use the z-score to determine which movies, 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 make your determination.

Descriptive statistics (correlation coefficient) showing the relationship between total gross sales and each of the other three variables. Evaluate the relationships between total gross sales and each of the other three variables. Use tables, charts, graphs, or visual dashboards to support your conclusions.

Rank Movie Title Opening Gross Total Gross Theaters Weeks
1 Spider-Man 3 151,116,516 336,530,303 4,324 15
2 Shrek the Third 121,629,270 322,719,944 4,172 12
3 Transformers 70,502,384 319,246,193 4,050 18
4 Pirates of the Caribbean: At World's End 114,732,820 309,420,425 4,362 19
5 Harry Potter and the Order of the Phoenix 77,108,414 292,004,738 4,285 22
6 I Am Legend 77,211,321 256,393,010 3,648 17
7 The Bourne Ultimatum 69,283,690 227,471,070 3,701 17
8 National Treasure: Book of Secrets 44,783,772 219,964,115 3,832 26
9 Alvin and the Chipmunks 44,307,417 217,326,974 3,499 25
10 300 70,885,301 210,614,939 3,280 18
11 Ratatouille 47,027,395 206,445,654 3,940 24
12 The Simpsons Movie 74,036,787 183,135,014 3,926 21
13 Wild Hogs 39,699,023 168,273,550 3,401 22
14 Knocked Up 30,690,990 148,768,917 2,975 17
15 Juno 413,869 143,495,265 2,534 28
16 Rush Hour 3 49,100,158 140,125,968 3,778 14
17 Live Free or Die Hard 33,369,559 134,529,403 3,411 19
18 Fantastic Four: Rise of the Silver Surfer 58,051,684 131,921,738 3,963 18
19 American Gangster 43,565,115 130,164,645 3,110 13
20 Enchanted 34,440,317 127,807,262 3,730 16
21 Bee Movie 38,021,044 126,631,277 3,984 15
22 Superbad 33,052,411 121,463,226 3,069 9
23 I Now Pronounce You Chuck and Larry 34,233,750 120,059,556 3,501 13
24 Hairspray (2007) 27,476,745 118,871,849 3,121 14
25 Blades of Glory 33,014,202 118,594,548 3,467 15
26 Ocean's Thirteen 36,133,403 117,154,724 3,565 15
27 Ghost Rider 45,388,836 115,802,596 3,620 10
28 Evan Almighty 31,192,615 100,462,298 3,636 15
29 Meet the Robinsons 25,123,781 97,822,171 3,435 23
30 Norbit 34,195,434 95,673,607 3,145 12
31 The Bucket List 335,837 93,466,502 2,915 23
32 The Game Plan 22,950,971 90,648,202 3,342 20
33 Beowulf 27,515,871 82,280,579 3,249 11
34 Bridge to Terabithia 22,564,612 82,272,442 3,210 19
35 Disturbia 22,224,982 80,209,692 3,132 16
36 No Country for Old Men 1,226,333 74,283,625 2,037 22
37 Fred Claus 18,515,473 72,006,777 3,603 14
38 1408 20,617,667 71,985,628 2,733 16
39 The Golden Compass 25,783,232 70,107,728 3,528 13
40 Charlie Wilson's War 9,656,250 66,661,095 2,594 11
41 Saw IV 31,756,764 63,300,095 3,183 7
42 Stomp the Yard 21,833,312 61,356,221 2,169 9
43 Surf's Up 17,640,249 58,867,694 3,531 11
44 Halloween (2007) 26,362,367 58,272,029 3,475 15
45 Tyler Perry's Why Did I Get Married? 21,353,789 55,204,525 2,034 9
46 TMNT 24,255,205 54,149,098 3,120 13
47 P.S. I Love You 6,481,221 53,695,808 2,471 12
48 3:10 to Yuma (2007) 14,035,033 53,606,916 3,006 10
49 Sweeney Todd: The Demon Barber of Fleet Street 9,300,805 52,898,073 1,507 13
50 Atonement 784,145 50,927,067 1,400 18
51 Resident Evil: Extinction 23,678,580 50,648,679 2,848 5
52 Music and Lyrics 13,623,630 50,572,589 2,955 13
53 Are We Done Yet? 14,262,724 49,662,533 2,944 13
54 This Christmas 17,958,183 49,121,934 1,921 7
55 Michael Clayton 719,910 49,033,882 2,585 24
56 Premonition 17,558,689 47,852,604 2,831 6
57 Dan in Real Life 11,809,445 47,642,963 1,941 15
58 The Kingdom 17,135,055 47,536,778 2,836 13
59 Shooter 14,523,571 47,003,582 2,806 12
60 License to Wed 10,422,258 43,799,818 2,715 13
61 Underdog 11,585,121 43,760,605 3,013 19
62 No Reservations 11,704,357 43,107,979 2,425 16
63 Because I Said So 13,122,865 42,674,040 2,529 9
64 Aliens Vs. Predator - Requiem 10,059,425 41,797,066 2,617 13
65 The Water Horse: Legend of the Deep 9,186,054 40,946,255 2,777 7
66 There Will Be Blood 190,739 40,222,514 1,620 18
67 Epic Movie 18,612,544 39,739,367 2,840 14
68 Hitman 13,180,769 39,687,694 2,468 16
69 30 Days of Night 15,951,902 39,568,996 2,859 5
70 Fracture 11,014,657 39,015,018 2,443 14
71 Stardust 9,169,779 38,634,938 2,565 11
72 The Brave One 13,471,488 36,793,804 2,837 11
73 The Heartbreak Kid 14,022,105 36,787,257 3,233 9
74 Freedom Writers 9,405,582 36,605,602 2,286 10
75 Smokin' Aces 14,638,755 35,787,686 2,219 7
76 The Messengers 14,713,321 35,374,833 2,529 6
77 The Number 23 14,602,867 35,193,167 2,759 5
78 Good Luck Chuck 13,652,001 35,017,297 2,612 8
79 Mr. Bean's Holiday 9,889,780 33,302,167 1,778 8
80 Breach 10,504,990 33,231,264 1,505 8
81 Zodiac 13,395,610 33,080,084 2,379 9
82 Balls of Fury 11,352,123 32,886,940 3,081 11
83 Mr. Magorium's Wonder Emporium 9,630,085 32,061,555 3,168 17
84 August Rush 9,421,369 31,664,162 2,310 14
85 Tyler Perry's Daddy's Little Girls 11,210,754 31,366,978 2,111 6
86 The Great Debaters 6,005,180 30,236,407 1,290 16
87 28 Weeks Later 9,807,292 28,638,916 2,305 14
88 We Own the Night 10,826,287 28,563,179 2,402 4
89 Mr. Brooks 10,017,067 28,549,298 2,453 11
90 Hannibal Rising 13,051,650 27,670,986 3,003 13
91 The Nanny Diaries 7,480,927 25,930,652 2,636 14
92 Mr. Woodcock 8,761,369 25,799,486 2,237 9
93 Nancy Drew 6,832,318 25,612,520 2,612 11
94 The Mist 8,931,973 25,594,957 2,423 17
95 The Reaping 10,025,203 25,126,214 2,603 9
96 Grindhouse 11,596,613 25,037,897 2,629 11
97 Sicko 68,969 24,540,079 1,117 17
98 Across the Universe 667,784 24,343,673 964 12
99 Perfect Stranger 11,206,163 23,984,949 2,661 6
100 Sea Monsters: A Prehistoric Adventure (IMAX) 605,722 23,746,066 252 49

Solutions

Expert Solution

The motion picture industry is a competitive business. More than 50 studios produce a total of 300 to 400 new motion pictures each year, and the financial success of each motion picture varies considerably. Gross sales for the opening weekend, the total gross sales, the number of theaters the movie was shown in, and the number of weeks the motion picture was open are common variables used to measure the success of a motion picture. Data collected for a sample of 100 motion pictures produced in 20XX are contained in the file named Movies, linked at the bottom of the page. Use all 100 data points. Managerial Report Prepare a report (see below) using the numerical methods of descriptive statistics presented in this module to learn how each of the variables contributes to the success of a motion picture. Be sure to include the following three (3) items in your report

Descriptive statistics (mean, median, 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

We can find descriptive statistics in EXCEL.

steps :

ENTER data into excel sheet --> Data --> Data Analysis --> Descriptive statistics --> ok --> Input range : Select all the variables together --> Labels in first row --> Output Range : select one empty cell --> ok

Opening Gross
Mean 24862477
Standard Error 2590091
Median 14620811
Mode #N/A
Standard Deviation 25900910
Sample Variance 6.71E+14
Kurtosis 7.591172
Skewness 2.479535
Range 1.51E+08
Minimum 68969
Maximum 1.51E+08
Sum 2.49E+09
Count 100
Total Gross
Mean 85096527
Standard Error 7528226
Median 50787873
Mode #N/A
Standard Deviation 75282257
Sample Variance 5.67E+15
Kurtosis 2.74781
Skewness 1.810178
Range 3.13E+08
Minimum 23746066
Maximum 3.37E+08
Sum 8.51E+09
Count 100
Theaters
Mean 2856.35
Standard Error 76.63948
Median 2844
Mode 2529
Standard Deviation 766.3948
Sample Variance 587361
Kurtosis 0.744973
Skewness -0.53627
Range 4110
Minimum 252
Maximum 4362
Sum 285635
Count 100
Weeks
Mean 14.09
Standard Error 0.623787
Median 13
Mode 13
Standard Deviation 6.237869
Sample Variance 38.91101
Kurtosis 8.797407
Skewness 1.931593
Range 45
Minimum 4
Maximum 49
Sum 1409
Count 100

Mean opening gross = 24862477.45

Mean total gross = 85096527

Mean theaters = 2856.35

Mean weeks = 14.09

Median opening gross = 14620811

Median total gross = 50787873

Median theatres = 2844

Median weeks = 13

Range for opening gross = 151047547

Range for total gross = 3.13E+08

Range for theaters = 4110

Range for weeks = 45

Standard deviation for opening gross = 25900910.33

Standard deviation for total gross = 75282257

Standard deviation for theaters = 766.3948

Standard deviation for weeks = 6.237869

Descriptive statistics (correlation coefficient) showing the relationship between total gross sales and each of the other three variables.

Correlation between total gross and opening gross = 0.9089

Correlation between total gross and theater = 0.6991

Correlation between total gross and weeks = 0.3642

We can see that all the correlations are positive so there is positive relationship between the variables.


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