2.25 Box Office Mojo (www.boxofficemojo.com) tracksmovie ticket sales. Ticket sales (in millions of dollars) foreach of the top 20 movies in 2014 and 2015 are shown inthe accompanying tables.2014 SalesMovie(millions of dollars)American Sniper350.1337.1The Hunger Games:Mockingjay-Part 1Guardians of the Galaxy333.1Captain America: The WinterSoldier259.8The LEGO Movie257.8255.1The Hobbit: The Battle of theFive ArmiesTransformers: Age of Extinction245.4Maleficent241.4X-Men: Days of Future PastBig Hero 6Dawn of the Planet of the Apes233.9222.5208.5The Amazing Spider-Man 2202.9Godzilla200.722 Jump Street191.7Teenage Mutant Ninja Turtles191.2Interstellar188.0How to Train Your Dragon 2177.0Gone Girl167.8150.9DivergentNeighbors150.2Data set available 2015 SalesMovie(millions of dollars)Star Wars: The Force Awakens936.7Jurassic World652.3Avengers: Age of UltronInside Out459.0356.5Furious 7353.0Minions336.0The Hunger Games:Mockingjay-Part 2281.7The Martian228.4Cinderella201.2SpectreMission Impossible-Rogue Nation200.1195.0Pitch Perfect 2184.3The Revenant183.6Ant-Man180.2Home177.4Hotel Transylvania 2Fifty Shades of GreyThe SpongeBob Movie: SpongeOut of Water169.7166.2163.0Straight Outta Compton161.2San Andreas155.2Construct comparative dotplots of the 2014 and 2015 ticketsales data. Comment on any interesting features of the dot-plots. In what ways are the distributions of the 2014 and2015 ticket sales observations similar? In what ways arethey different? (Hint: See Example 2.6.)

First make a range for a dot plot. Following table gives the range of the sell and frequency.…

2015 Sales Movie (millions of dollars) Star Wars: The Force Awakens 936.7 Jurassic World 652.3 Avengers: Age of Ultron 459.0 Inside Out 356.5 Furious 7 353.0 Minions 336.0 The Hunger Games: Mockingjay-Part 2 281.7 The Martian 228.4 Cinderella 201.2 Spectre Mission Impossible-Rogue Nation 200.1 195.0 Pitch Perfect 2 184.3 The Revenant 183.6 Ant-Man 180.2 Home 177.4 Hotel Transylvania 2 169.7 Fifty Shades of Grey 166.2 The SpongeBob Movie: Sponge Out of Water 163.0 Straight Outta Compton 161.2 San Andreas 155.2 Construct comparative dotplots of the 2014 and 2015 ticket sales data. Comment on any interesting features of the dot- plots. In what ways are the distributions of the 2014 and 2015 ticket sales observations similar? In what ways are they different? (Hint: See Example 2.6.)

2015 Sales Movie (millions of dollars) Star Wars: The Force Awakens 936.7 Jurassic World 652.3 Avengers: Age of Ultron 459.0 Inside Out 356.5 Furious 7 353.0 Minions 336.0 The Hunger Games: Mockingjay-Part 2 281.7 The Martian 228.4 Cinderella 201.2 Spectre Mission Impossible-Rogue Nation 200.1 195.0 Pitch Perfect 2 184.3 The Revenant 183.6 Ant-Man 180.2 Home 177.4 Hotel Transylvania 2 169.7 Fifty Shades of Grey 166.2 The SpongeBob Movie: Sponge Out of Water 163.0 Straight Outta Compton 161.2 San Andreas 155.2 Construct comparative dotplots of the 2014 and 2015 ticket sales data. Comment on any interesting features of the dot- plots. In what ways are the distributions of the 2014 and 2015 ticket sales observations similar? In what ways are they different? (Hint: See Example 2.6.)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Compound Probability

Compound probability can be defined as the probability of the two events which are independent. It can be defined as the multiplication of the probability of two events that are not dependent.

Tree diagram

Probability theory is a branch of mathematics that deals with the subject of probability. Although there are many different concepts of probability, probability theory expresses the definition mathematically through a series of axioms. Usually, these axioms express probability in terms of a probability space, which assigns a measure with values ranging from 0 to 1 to a set of outcomes known as the sample space. An event is a subset of these outcomes that is described.

Conditional Probability

By definition, the term probability is expressed as a part of mathematics where the chance of an event that may either occur or not is evaluated and expressed in numerical terms. The range of the value within which probability can be expressed is between 0 and 1. The higher the chance of an event occurring, the closer is its value to be 1. If the probability of an event is 1, it means that the event will happen under all considered circumstances. Similarly, if the probability is exactly 0, then no matter the situation, the event will never occur.

Question

100%

2.25 Box Office Mojo (www.boxofficemojo.com) tracks
movie ticket sales. Ticket sales (in millions of dollars) for
each of the top 20 movies in 2014 and 2015 are shown in
the accompanying tables.
2014 Sales
Movie
(millions of dollars)
American Sniper
350.1
337.1
The Hunger Games:
Mockingjay-Part 1
Guardians of the Galaxy
333.1
Captain America: The Winter
Soldier
259.8
The LEGO Movie
257.8
255.1
The Hobbit: The Battle of the
Five Armies
Transformers: Age of Extinction
245.4
Maleficent
241.4
X-Men: Days of Future Past
Big Hero 6
Dawn of the Planet of the Apes
233.9
222.5
208.5
The Amazing Spider-Man 2
202.9
Godzilla
200.7
22 Jump Street
191.7
Teenage Mutant Ninja Turtles
191.2
Interstellar
188.0
How to Train Your Dragon 2
177.0
Gone Girl
167.8
150.9
Divergent
Neighbors
150.2
Data set available

2015 Sales
Movie
(millions of dollars)
Star Wars: The Force Awakens
936.7
Jurassic World
652.3
Avengers: Age of Ultron
Inside Out
459.0
356.5
Furious 7
353.0
Minions
336.0
The Hunger Games:
Mockingjay-Part 2
281.7
The Martian
228.4
Cinderella
201.2
Spectre
Mission Impossible-Rogue Nation
200.1
195.0
Pitch Perfect 2
184.3
The Revenant
183.6
Ant-Man
180.2
Home
177.4
Hotel Transylvania 2
Fifty Shades of Grey
The SpongeBob Movie: Sponge
Out of Water
169.7
166.2
163.0
Straight Outta Compton
161.2
San Andreas
155.2
Construct comparative dotplots of the 2014 and 2015 ticket
sales data. Comment on any interesting features of the dot-
plots. In what ways are the distributions of the 2014 and
2015 ticket sales observations similar? In what ways are
they different? (Hint: See Example 2.6.)

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End of month S&P 500 End of month S&P 500 End of month S&P 500 End of month S&P 500 September-77 96.53 April-80 106.29 November-82 138.53 July-85 191.85 October-77 92.34 May-80 111.24 December-82 140.64 August-85 190.92 November-77 94.83 June-80 114.24 January-83 145.30 September-85 188.63 December-77 95.10 July-80 121.67 February-83 148.06 October-85 182.08 January-78 89.25 August-80 122.38 March-83 152.96 November-85 189.82 February-78 87.04 September-80 125.46 April-83 164.43 December-85 202.17 March-78 89.21 October-80 127.47 May-83 162.39 January-86 211.28 April-78 96.83 November-80 140.52 June-83 167.64 February-86 226.92 May-78 97.24 December-80 135.76 July-83 162.56 March-86 238.90 June-78 95.53 January-81 129.55 August-83 164.40 April-86 235.52 July-78 100.68 February-81 131.27 September-83 166.07 May-86 247.35 August-78 103.29 March-81 136.00 October-83 163.55 June-86 250.84 September-78 102.54 April-81 132.81 November-83 166.40…
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