Title : Off-Road Car Ratings
Author : Neeraj Dilip Pathak
Introduction : Off-road car ratings are crucial for college students looking to explore adventurous driving options, whether for outdoor trips or recreational activities. These ratings assess key performance factors like traction, durability, and handling on rough terrains, helping students make informed choices when selecting a vehicle. With an increasing interest in off-roading among younger drivers, understanding how various models stack up can enhance their outdoor experiences and ensure they find the right vehicle for their adventures.
Objective : To find out all are same or any one of them is different between four investment options.
Data Collection : Data is collected by using random sample method. Circulated google form to collect the response ‘s from classmates and family members.
Data Analysis :
|
ANOVA |
||||||
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
4.7 |
3 |
1.5667 |
0.5065 |
0.6790 |
2.7249 |
|
Within Groups |
235.1 |
76 |
3.0934 |
|||
|
Total |
239.8 |
79 |
|
|
|
|
Null Hypothesis (H0): There are no significant differences in the means various off-road cars Alternative Hypothesis (H1): At least one group mean is significantly different from the others. F-value: 0.5065 P-value: 0.6790,F critical value: 2.7249 If the P-value is less than the significance level (commonly 0.05), we reject the null hypothesis. Alternatively, if the F-value is greater than the F critical value, we also reject the null hypothesis. P-value: 0.6790 > 0.05 (significant),F-value: 0.5065 < 2.7249 (also significant)
Conclusion: Since both the P-value is more than 0.05 and the F-value does not exceed the F critical value, we reject the null hypothesis. This indicates that there is a statistically significant difference in the means of at least one of off-road vehicles.