In: Accounting
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 | |
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.