2024-26 – 021330024518, ITM Business School, Kharghar, Maharashtra, India
Title – A comparison of four Cricketers—Joe Root, Kane Williamson, Steve Smith, Virat Kohli using a one-way ANOVA (Analysis of Variance) single-factor method.”
Author – Aaryan Teli
Introduction – For the comparison of four Cricketers—Joe Root, Kane Williamson, Steve Smith, Virat Kohli—this research will evaluate various attributes such as Strike rate, centuries, average, runs in other 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 analysed to assess differences in ratings among the four cricketers, providing insights into their relative strengths and popularity
Data Analysis –
The ANOVA: Single Factor test was performed to compare the ratings of four brands.
The hypotheses for the test are:
- Null Hypothesis (H0): All are same.
- Alternate Hypothesis (H1): Anyone of them is different.
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ANOVA |
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Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
14.65 |
3.00 |
4.88 |
1.54 |
0.21 |
2.70 |
|
Within Groups |
303.78 |
96.00 |
3.16 |
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Total |
318.43 |
99.00 |
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As the above P-value of the hypothesis is 0.21 is more than 0.05 we accept the null hypothesis
Conclusion – All are same.