As a grad student at a public university in the USA, I worked as a teaching assistant for the sociology class "Introduction to Statistics." The course used SPSS software to enable the students to perform statistical analysis on data sets. Although we offered an excellent textbook (listed below), most of the undergraduate students struggled with the material, so my colleagues and I added a supplemental reading list to the syllabus for those students interested in studying the main concepts. The following books are the ones we recommended to the students. I have read all these texts, and they are pretty good at explaining statistics to anyone interested in learning the material at a conceptual level; anyone can read and understand these books, regardless of their educational background.

Ian Ayres (2007) Super Crunchers: Why Thinking by Numbers is the New Way to Be Smart

Joseph Healey (2020) Statistics: A Tool for Social Research [This is the textbook used in the class, which I highly recommend]

Catherine Marsh and Jane Elliott (2008) Exploring Data: An Introduction to Data Analysis for Social Scientists, second edition

John Allen Paulos (1988) Innumeracy: Mathematical Illiteracy and Its Consequences

Nate Silver (2012) The Signal and the Noise: Why So Many Predictions Fail, but Some Don't

Nassim Nicholas Taleb (2005) Fooled by Randomness, second edition;

_______ (2010) The Black Swan: The Impact of the Highly Improbable, second edition