Name of Author: Satyam Mishra
F1 2024-26 – 021330124360, ITM Business School, Kharghar, Maharashtra, India
Introduction – For the comparison of four Cricketers—Rohit, Dhoni, Sachin, Virat—this research will evaluate various attributes such as Strike rate, centuries, average, runs in SENA countries, and popularity among fans . The study aims to provide insights into how these cricketers are famous in countries also shows their cricket stats.
Objective – To compare 4 different cricketers
Data collection – To gather relevant data, a survey was done in a class of finance on a scale of 10. Participants rated each Cricketer on a scale of 1 to 10, allowing us to capture their opinions and ratings related to 4 cricketers . The collected data was then analyzed to assess differences in ratings among the four cricketers, providing insights into their relative strengths and popularity
Data Analysis –
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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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Rohit |
25.00 |
179.50 |
7.18 |
2.73 |
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Dhoni |
25.00 |
197.50 |
7.90 |
3.44 |
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Sachin |
25.00 |
182.50 |
7.30 |
1.50 |
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Virat |
25.00 |
202.00 |
8.08 |
4.99 |
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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 |
14.65 |
3.00 |
4.88 |
1.54 |
0.21 |
2.70 |
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Within Groups |
303.78 |
96.00 |
3.16 |
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Total |
318.43 |
99.00 |
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Conclusion – As the P-value of the hypothesis is 0.21 is more than 0.05 we accept the null hypothesis meaning all are same. Based on the ANOVA results, there is sufficient evidence to conclude that there are significant differences in popularity among the four cricketers. There is no statistically significant difference between the average values of Rohit, Dhoni , Sachin, Virat .The p-value (0.2) is much higher than the typical threshold of 0.05, meaning the differences in their averages could very likely be due to random chance.
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