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Data Interpretation And Representation Statistics And ProbabilityMEDIUMVerified Curriculum5 min read

Number and Quantity

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Chapter 1

Number and Quantity

Course: Core Academic Skills For Educators Combined Test 5752
Subject: Core Academic Skills Educators Mathematics 5733
Chapter: Data Interpretation And Representation Statistics And Probability


When working with statistics, the overall goal is often to understand characteristics of a population without having to measure every individual in that population. A population could be very large, such as all students in a country or all manufactured products from a company. To make the task manageable, statisticians take a smaller group, called a sample, and use the data from that sample to make inferences about the entire population.

A random sample is important because it ensures each member of the population has an equal chance of being selected. Random selection reduces bias and makes the results more representative. For example, if a researcher only surveys students from one high-performing school, the results may not reflect the entire district’s average.

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