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From Coffee Wait Times to Platypus Populations

Year 12 Analysis and Approaches (SL) students dive into data analysis and explore statistics and probability.

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Have you ever wondered about the waiting time between ordering and receiving a cup of coffee, and how it relates to the number of customers waiting? Or, have you ever thought about the probability of a platypus being less than 51 cm? These are some of the questions that Year 12 Analysis and Approaches (SL) students have been exploring in their Topic 4 Statistics and Probability course.

Throughout this term, students have been studying different aspects of statistics and probability. They have learned how to represent and analyze data using various types of diagrams, calculate measures of central tendency and spread, and apply fundamental principles of probability to solve problems. Additionally, they have been introduced to different types of probability distributions and have been using statistical inference to make conclusions and predictions based on data.

One example of how students have applied their statistical knowledge is by modeling the waiting time for a cup of coffee. Through their analysis, they have determined that the waiting time can be estimated using the formula: Waiting time ≈ 0.8 × number of customers + 3. By using this formula, coffee shops can better manage their operations and reduce customer wait times.

In addition to analysing waiting times for coffee, students have also explored the probability of a platypus being less than 51 cm. By applying their knowledge of probability, they have calculated that the probability of a platypus measuring less than 51 cm is approximately 0.74. This type of analysis can help us understand more about platypus populations and inform conservation efforts.

The Year 12 Analysis and Approaches (SL) students have been working hard this term, developing their skills in statistics and probability. Through their work, they have gained a deeper understanding of how data can be represented and analysed, and how probability can be applied to solve real-world problems. We are excited to see how they will continue to apply their knowledge in the future!

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