Title: Comparative analysis between 4 different sports.
Author: Pravin Phulware
Introduction: Cricket: A popular global sport, especially in countries like India, Australia, and England. Known for formats like Test matches, One Day Internationals (ODIs), and T20s, it’s a bat-and-ball game played between two teams. Key tournaments include the ICC Cricket World Cup and the Indian Premier League (IPL).
Basketball: A fast-paced team sport where two teams aim to score by shooting a ball through the opponent’s hoop. Played professionally worldwide, with the NBA being the most famous league. Known for stars like Michael Jordan and LeBron James.
Volleyball: A team sport played on a court, where teams try to score by hitting a ball over a net. Played both indoors and on the beach, it’s popular for its quick rallies and teamwork. Major events include the FIVB World Championship and the Olympic Games.
Badminton: A racquet sport where players hit a shuttlecock over a net. Played in singles or doubles, it’s known for fast reflexes and agility. Popular in Asia and Europe, with major tournaments like the All England Open and the Olympics.
Objective: Find out whether all soprts are same or not.
Data Collection: Primary data was collected in a classroom setting, with 25 students participating. The students provided ratings on a scale of 1 to 10. The collected data was subsequently analyzed, and an ANOVA table was generated for further statistical interpretation.
Data Analysis:
Ho: All sports are same.
H1: Any one of the sports is different.
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Anova: Single Factor |
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SUMMARY |
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Groups |
Count |
Sum |
Average |
Variance |
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Cricket |
25 |
212 |
8.48 |
2.26 |
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| Basketball |
25 |
162 |
6.48 |
6.343333333 |
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| Volleyball |
25 |
162 |
6.48 |
6.26 |
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| Badminton |
25 |
163 |
6.52 |
6.176666667 |
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ANOVA |
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Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
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Between Groups |
74.03 |
3 |
24.67666667 |
4.691381496 |
0.004222078 |
2.699392598 |
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Within Groups |
504.96 |
96 |
5.26 |
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Total |
578.99 |
99 |
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The above annova table shows the P value which determines whether we accept or reject the null hypothesis and vice versa. The P value for the data collected and analyzed is 0.004, which is less than 0.5 meaning we accept alternate hypothesis.
Conclusion: P value is 0.000 which is less than 0.05 therefore we reject null hypothesis and accept alternate hypothesis, that concludes that any one of the Sports is different.