Every day, we make decisions using data. Whether you are seeing the weather forecast, comparing prices of products to buy, or learning about rising food prices in the news, statistics play a role. Statistics are a way of gathering, organizing and interpreting data. Statistical knowledge is seen as vital for decision making and communicating decisions within your personal and professional life (de la Hoz-Ruiz et al., 2024). Due to us having more information in today’s world, having a good understanding of data has become an essential life skill. This essay will explain how statistics are used in everyday life and why they should be learnt in a wise manner by High School students.
Statistics in Everyday Decision Making and Learning
Statistics can be found in many everyday situations. The weather forecast uses probability to tell us how likely it is to rain so we know whether to take an umbrella. For example, a 70% chance of rain means you should probably take one. Health guidelines such as how much sleep teenagers need are provided after studying large amounts of data. In sport, people use averages and percentages to compare players, for example, goals scored per match. Online shopping depends on mean scores of reviews. All of these situations require someone to interpret the data and determine if they can trust the numbers.
Weather forecast
Probability: a 70% chance of rain means you should probably take an umbrella.
Health guidelines
Large amounts of data are studied before advice such as how much sleep teenagers need is given.
Sport
Averages and percentages, such as goals scored per match, are used to compare players.
Online shopping
The mean score of a product’s reviews. In every case someone has to interpret the data and decide whether the numbers can be trusted.
Diagram by Writers Per Hour, summarising the paragraph above. Every example is the essay’s own.
The first is to have a good grasp of data. Data literacy is a necessary skill to inform decisions and be engaged in the current society (Witte et al., 2025). Yet, when examining 30 studies, it was concluded that students were taught how to conduct data analysis and interpretation; this represents some of the greater emphasis placed on calculations in courses. But there was minimal discussion regarding the design and collection of data (Witte et al., 2025). The implementation of Project-Based Learning (PBL) should involve real data and issues. This provides students with examples of why data literacy is important. For example, if you carried out a survey with your class on how the other children within the school travel to school, you will learn how to ask appropriate questions, collect the data and how bad sampling can cause incorrect results.
Statistics can be challenging to learn. From the analysis, it was found that probability was the least proficient topic (44%) and statistical inference (29.2%) (de la Hoz-Ruiz et al., 2024). Statistical thinking helps prevent you from being misled. Sometimes advertisements will claim most customers like a product but won’t tell you how many people they asked, for example, ‘9 out of 10 customers’ may come from only 10 people. Graphs will sometimes have a cut axis to make a small difference look like a big difference. To illustrate, a graph starting at 50 can make a rise from 52 to 54 look huge. If a student asks questions such as how many people were surveyed, where was the data from and the context then they are much less likely to believe these claims. Statistical thinking helps you to make decisions for yourself and become a responsible citizen.
Share of recorded statistical issues, by topic, %
- Probability: 44 %.
- Statistical inference: 29.2 %.
- Descriptive statistics: 22.8 %.
- Statistical software: 4 %.
The issues come from tutor comments on students who visited the University College Dublin Maths Support Centre for statistics help since 2015/16.
Chart by Writers Per Hour. Figures: de la Hoz-Ruiz, A., Howard, E., & Hijón-Neira, R. (2024), The enhancement of statistical literacy, Information, 15(9), 567 (open access, CC BY 4.0), abstract.
Show the figures as a table
| Topic | Share of issues (%) |
|---|---|
| Probability | 44 |
| Statistical inference | 29.2 |
| Descriptive statistics | 22.8 |
| Statistical software | 4 |
Conclusion
Statistics are used in weather reports, health guidelines, sport, shopping and the news. Research shows that having an understanding of data is vital to be an informed person within our society. However, many learners find key concepts challenging to understand and may not be prepared for real life situations if they just memorize the data as opposed to understanding it. Schools can teach statistics using real data and meaningful questions. This makes students more wise consumers, better learners and thoughtful citizens.
