Question 1. H.G. Wells once said, “Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write!” Take a position on whether you agree or disagree with this statement, and provide a rationale for your response.
I agree with H.G Wells on this as every individual need to apply statistics as well as interpret statistical arguments in our daily lives as we do reading and writing. Every individual ought to be statistically literate as it helps in understanding the past, make sense of the present as well as make inferences about the future. Statistical thinking will help individuals become good citizens as it makes them engage in activities that are beneficial to them as well as to the nation. This includes interpreting statistical arguments to make decisions about the economy, politics, health, and environmental and educational policy. Additionally, we live in an information age. Thus, the massive data collected ought to be analysed and summarised. This can only be achieved if one is statistically literate. The available information can then be understood as well as interpreted accurately and used efficiently for better decision making.
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Question 2. Statistics is its own language. In fact, it is often called the language of science. Why do you think it is called the language of science? What does it mean to be statistically literate? Why is it important to be statistically literate?
Modern science is founded mostly on statements of statistical importance and probability. This makes the use of statistical method useful in all areas of science. For instance, statistics are used in the design of scientific studies to measure uncertainty, increase consistency, as well as produce robust data sets (Capri & Egger, 2008). As a result of its usage in almost all areas of science, statistics is often called the language of science.
Being statistically literate lets an individual to access as well as utilise data competently in decision making (Milley, 2014). This includes the ability to;
Identify complications, consequences, and impacts,
Critically arguments based on statistics that involve public policy,
Understand statements that include rates and percentages,
Evaluate number-based claims in the media, and
Recognise words that imply much but assert very little.
Given that numerical results are often utilised to distort or manipulate information, understanding statistics is even more imperative. Thus, it is vital to be statistically literate for one to be able to comprehend messages, analyse data, or summarise information correctly. Being statistically literate contributes to improved evidence-based decision and policy formulation (Susec, Muravec, and Stancic, 2014).
References
Capri, A., and Egger, A. (2008). Statistics in Science. [Online]. Available at: https://www.visionlearning.com/en/library/Process-of-Science/49/Statistics-in-Science/155 . Accessed 18 th Oct 2018.
Milley, A. (2014). Statistics: The Language of Science. [Online]. Available at: https://community.jmp.com/t5/JMP-Blog/Statistics-The-language-of-science/ba-p/30304 . Accessed 18 th Oct 2018.
Susec, M., Muravec, N., and Stancic, H. (2014). Statistical Literacy as an Aspect of Media Literacy. [Online]. Available at: file:///C:/Users/Duosim/Downloads/Statistical_Literacy_as_an_Aspect_of.pdf . Accessed 18 th Oct 2018.
