Determine (as a simplified common fraction) the probability of randomly selecting a learner from Class A who obtained a percentage mark different from any other learner in the class.

Mathematics
Determine (as a simplified common fraction) the probability of randomly selecting a learner from Class A who obtained a percentage mark different from any other learner in the class.

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Answer

50% $$

Step 1: Identify the type of data. The data consists of percentage marks, which are numerical values that can be measured.

The best term to describe this data is Numerical.

Step 2: Determine the percentage of data values between the upper and lower quartiles. The lower quartile (Q1) represents the 25th25^{th} percentile of the data. The upper quartile (Q3) represents the 75th75^{th} percentile of the data. The percentage of data values that lies between the upper and lower quartiles is the difference between these percentiles. 75%−25%=50%75\% - 25\% = 50\% The percentage of data values that lies between the upper and lower quartiles is $\boxed{\text{5

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Identify the type of data. The data consists of percentage marks, which are numerical values that can be measured.

Determine (as a simplified common fraction) the probability of randomly selecting a learner from Class A who obtained a percentage mark different from any other learner in the class.
Mathematics

This mathematics problem involves applying core mathematical principles and formulas. Below you will find a complete step-by-step solution with detailed explanations for each step, helping you understand not just the answer but the method behind it.

ScanSolve AI Answer
Step 1: Identify the type of data. The data consists of percentage marks, which are numerical values that can be measured. The best term to describe this data is Numerical. Step 2: Determine the percentage of data values between the upper and lower quartiles. The lower quartile (Q1) represents the 25^th percentile of the data. The upper quartile (Q3) represents the 75^th percentile of the data. The percentage of data values that lies between the upper and lower quartiles is the difference between these percentiles. 75\% - 25\% = 50\% The percentage of data values that lies between the upper and lower quartiles is $5