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Video Game Study

Video Game Study. Jimmy L Brandon D Colleen M. The History of Video Games. The first video game device was called the Cathode Ray Tube Amusement Device, which was created in 1947 The first game console that was available was developed in 1972, called the Magnavox Odyssey

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Video Game Study

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  1. Video Game Study Jimmy L Brandon D Colleen M

  2. The History of Video Games • The first video game device was called the Cathode Ray Tube Amusement Device, which was created in 1947 • The first game console that was available was developed in 1972, called the Magnavox Odyssey • The first console to use CDs to play games was the Sony Playstation, which was released in 1994 • The Playstation 2 is the most popular video game console, selling over 140 million worldwide • Pokemon Red and Blue editions are the highest selling games to date, selling over 20 million copies worldwide (These are non-bundled games) • Video game consoles have now evolved to have 3D capabilities, motion-tracking software, and realistic graphics

  3. Our Topic • What we really wanted to find out with this collection was the habits of gamers, like: • Does the amount of games owned affect how much the subject plays? • Is there a relationship between how frequent a person visits a game store and how much they play? • Does age affect how much a person plays? • Are purchases at video game stores independent of how frequent the store is visited? • Do people who favor a certain genre of game play more?

  4. Procedure • To collect the necessary data to analyze, we had to stake out various game stores and interviewed every other person who walked out the door

  5. Mean Hours Played, Overall • Our main quantitative data • Units: Hours • Mean: 12.6809 hrs • Standard deviation: 8.24122 hrs • Range: • IQR = 12hrs • 5 hrs – 30 hrs = 25 hrs

  6. Mean Hours Played, Overall • Data is right skewed • Normal probability plot is curved in the beginning and in the end, but is overall normal

  7. Exploratory: Games vs. Hours • Is their a relationship between these two values? • Scatter plot is: • Moderate Scattered • Linear • Positive • Equation: • .515(#_OF_GAMES) + 25 = HRS_PER_WEEK • Correlation = .6305 • R2 = .40 • 40% of the change in hours played per week can be seen from the change in the number of games a person owns

  8. Age vs. Hours playing • What is the relationship between the player’s age and how many hours a week the player plays? • Scatter plot is: • Weak • Negative • Linear • Not scattered • Equation: • -.183(HRS_PER_WEEK) + 18 = AGE • Correlation = .228 • R2 = .052 • 5.2% of the change in player’s age can be seen by the change in the hours played per week

  9. Frequency at store and Purchase • More infrequent visitors than frequent visitors • For both the frequent and infrequent visitors, the most common purchase was a game (go figure)

  10. Frequent vs. Infrequent • Frequent: • Mean = 17.57 • SD = 7.9 • Infrequent: • Mean = 10.61 • SD = 7.57

  11. Frequent Confidence Interval • Frequent: • State • SRS • Population > 10n • n > 30 or normal probability plot • Check • Data collected Randomly • All people who frequent game stores > 330 • 33 > 30 Frequent: 95% confident Conditions met  Students t distribution  1-sample t-interval We are 95% confident that the true value of hours that people play video games that frequently go to games stores is between 13.009 hours and 22.131 hours

  12. Infrequent Confidence Interval • Infrequent: • State • SRS • Population > 10n • n > 30 or normal probability plot • Check • Data collected Randomly • All people who frequent game stores > 140 • 14 > 30 NOT!! Infrequent: 95% Confident There is an insufficient sample size but we will continue anyway Conditions met  Students t distribution  1-sample t-interval We are 95% confident that the true value of hours that people play video games that frequently go to games stores is between 7.9258 hours and 13.294 hours

  13. Frequent vs. Infrequent • Check • Data sampled are independent • SRS • All who go to game stores frequently > 330 • All who go to game stores infrequently > 140 • 33 > 30 • 14 > 30 NO!! • State • Independent • SRS • Pop1 > 10n1 • Pop2 > 10n2 • Both Populations are normal or > 30 There is an insufficient sample size but we will continue anyway Conditions met  Students t distribution  2-sample t-interval

  14. Frequent vs. Infrequent 95% confident We are 95% confident that the difference in hours between people who frequent game stores and those who done is between -4.974 hours and 18.905 hours

  15. Independence: Frequency vs. Purchase There is no association between frequency and purchase There is an association between frequency and purchase • Check • Categorical data • All gamers > 470 • SRS • 3 of 8 cells have expected counts less than 5, but we are going to continue anyways • State • Data are counts • Population > 10n • Data are independent • All expected counts > 5 Conditions met  x2 distribution  X2 test of independence

  16. Independence: Frequency vs. Purchase • We fail to reject our Ho because the P-value of .69 is greater than the alpha of .05 • We have sufficient evidence to say that there is no association between the frequency that you visit a store and what is purchased at the store

  17. Mean Hours: Sport vs. Shooting • The two most popular game genres are sports and shooting games • Sports: • Median = 10 • Small spread • Shooting: • Median = 16 • Large spread

  18. Sports vs. Shooting cont. • Check • Data sampled are independent • SRS • All who favor shooting > 130 • All who favor sports > 90 • Populations assumed normal • State • Independent • SRS • Pop1 > 10n1 • Pop2 > 10n2 • Both Populations are normal or > 30 Conditions met  Students t distribution  2-sample t-test • We fail to reject our Ho because the P-value of 0.2117 is greater than the alpha of .05 • We have sufficient evidence than there is no significant difference in the number of hours that people who favor shooting games opposed to sport games

  19. Conclusions • Observations show that the more games one owns the more games are owned, the more hours are played • No association between age and hours played • People most commonly buy a game when at the game store • People who frequently go to game stores play between 13.009 hours and 22.131 hours • People who infrequently go to game stores play between 7.9258 hours and 13.294 hours • The average difference between people to frequently and infrequently go to game stores is between -4.974 hours and 18.905 hours

  20. Conclusions • There is no association between the frequency that you visit a store and what is purchased at the store • Than there is no significant difference in the number of hours that people who favor shooting games opposed to sport games

  21. Bias/Error • Difference in collection • Events or deals • Times of the day • Holidays (memorial day) • People can lie • People blew us off • Our enthusiasm

  22. Opinions • Very difficult to collect data in the short time due to low amount of people walking in • Our data seems to follow what we expected to see • Age and hours graph doesn’t

  23. Please ask us questions!!

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