Leaving Certificate-Probabilidad y Estadística de Nivel Ordinario

Leaving Certificate-Probabilidad y Estadística de Nivel Ordinario

This course covers Probability and Statistics for the Irish Leaving Certificate maths curriculum.

Las estadísticas y probabilidades
This course covers Probability and Statistics for the Irish Leaving Certificate maths curriculum.
  • Duración

    1.5-3 Horas
  • Evaluación

  • Certificación

  • Publisher






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Probability and Statistics is one of two strands introduced in the first phase of the new Project Maths Course. This topic covers up to half of the new Paper 2 in the Leaving Certificate Paper in the Irish curriculum. Statistics are used in real life to make sense of the information around us and how it affects us. Statistics looks at the data handling cycle and analysis of the data collected. This involves posing a question, collecting data on that question, presenting that data, analysing the data (using measures of spread and centre) and interpreting the results. In answering questions, it is essential that you can contextualise and justify your findings. Probability is concerned with the likelihood of an event(s) happening. The information can be used to make informed decisions. The use of probability is commonly utilised in the world of finance, insurance and sport among others. Probability can also be used to infer the fairness of an event or series of events. It can be evaluated using a diagram or a rule-based approach. This Strand attempts to merge the mathematical aspects of Probability and Statistics with its real-life application. It is an interesting topic that is very accessible to all students.

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Module 13: Probability

Module 10: Measures of Central Tendency

Module 11: Measures of Central Spread

Module 14: Expected Value

Module 15: Binomial Distributions and Bernoulli Trials

Module 16: Normal Distribution

Module 17: The Data Handling Cycle

Module 1: Types of Data and Sampling

Module 2: Frequency Tables

Module 3: Methods of Representing Data

Module 4: Pie Charts

Module 6: Stem-and-Leaf Plots

Module 5: Histograms and Bar Charts

Module 7: Skewness

Module 8: Scatter Plots - Line of Best Fit

Module 9: Correlation

Module 12: Analyse Data

Module 18: Problem Solving

End of Course Information

Learning Outcomes


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