Hi, please observe the below information, and respond to the question in bold providing a deeper understanding include intext citations and references to support your beliefs.

While each test may answer particular questions, it is vital to consider that all statistical analyses share one restriction. Inferential statistics can only answer questions of how many, how much, and how often (Frankfort-Nachmias et al., 2019). This limit on the types of questions a researcher can ask comes, because inferential statistics rely on frequencies and probabilities to make inferences. Consequently, only certain types of data may be used: nominal, ordinal, interval, or ratio (Panik, 2012, p. 4). Do you agree with Frankfort-Nachmias et al., 2019 & Panik, 2014)?

"True, we may use inferential stats to uncover patterns in our data, but we must be careful not to assume too much about how the overall population acts."

Inferential statistics are practical tools for inferring that trust frequencies and probabilities. Inferential statistics extend the natural human tendency toward inference and are powerful tools that can help answer questions such as how much, how many, or how often. Thus, understanding inferential statistics can enhance one's decision-making capabilities, help form predictions, and conduct research. It can also guard one from the misrepresented and miscalculated statistics that are all too common occurrences.

References

Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2019). Social statistics for a diverse society (9th ed.). SAGE Publications.

Panik, M. J. (2012). Statistical inference: a short course. John Wiley & Sons.