Title: One – way ANOVA, calculation of four books.
Author: Pooja Kasar
Introduction:
Books are an important source of knowledge, learning, and entertainment. Different types of books create different impacts on readers depending on their interest and purpose. In this project, four book categories are selected: Fictional, Non-Fictional, Story Books, and Academic Books. The main aim is to study whether the preference level differs among these four categories. For this purpose, One-Way ANOVA is used as a statistical tool to compare the mean values of more than two groups. This analysis helps in understanding which type of book is most preferred and whether the difference is significant or not.
Objective: To compare four types of Books by the way of one- way ANOVA
Literature Review:
1. Students’ Academic Reading Preferences
An exploratory study to understand academic reading preferences among Information Science students. Their research showed that even with the rise of digital readers, students still preferred printed materials over electronic formats. The study highlighted those personal factors such as perceived advantage and comprehension level influence reading format preferences. The results emphasized that students valued familiarity and ease of understanding more than the convenience of e-books, suggesting that print remains an important medium for academic reading despite technology trends. (Aharony, N., & Bar-Ilan, J. 2016).
2. The Impact of Book Influencers
The Impact of book influencers in this study understand how book influencers affect reading intentions in modern digital environments. They found that social media personalities and online content strongly shape readers’ interest and choice of books. The research demonstrated that exposure to book recommendations from influencers often leads to increased reading engagement and intentions, especially among younger audiences. This shift shows how digital culture and peer influence now play a significant role in shaping preferences, adding a modern dimension to traditional reading motivations. (Euzéby, F., Passebois-Ducros, J., & Machat 2023).
Data Collection:
Students of our Batch were requested to grade the following book types Fictional, Non- Fictional, Story book, Academic book on a scale of 1-10. The Google Form was circulated in class, and a one-way ANOVA was calculated.
Data Analysis:
H0: Fictional book = non-fictional book = Story book = Academic book
H1: Any one of them book is different.
Mean Square Between (MS): 54.77, Mean Square Within (MS): 0.75, P-value: 0.00, (df): 3 (Between Groups, Within Groups), (F crit): 2.69
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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 |
164.31 |
3 |
54.77 |
72.61 |
0.00 |
2.69 |
|
Within Groups |
84.48 |
112 |
0.75 |
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Total |
248.79 |
115 |
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|
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Conclusion:
The p-value of 0.00 is less than the significance level of 0.05, which means all books are the different.
References:
Aharony, N., & Bar-Ilan, J. (2016). Students’ academic reading preferences: An exploratory study. Journal of Information Science. doi:10.1177/0961000616656044
Euzéby, F., Passebois-Ducros, J., & Machat, Exploring the impact of book influencers on reading intentions in the scroll era. Journal Title. Year.