Due to unforeseen unexpected operational disruptions at our fulfillment center, we have temporarily paused sales of our PSLE Science Sketchnotes. We sincerely apologize for any inconvenience this may cause and truly appreciate your understanding during this time. For the latest updates on when sales will resume, please follow our Instagram: @psle_science_sketchnotes and Facebook: AliceTanKiaYin. We look forward to serving you again soon. Thank you for your continued support and patience.
Due to unforeseen unexpected operational disruptions at our fulfillment center, we have temporarily paused sales of our PSLE Science Sketchnotes. We sincerely apologize for any inconvenience this may cause and truly appreciate your understanding during this time. For the latest updates on when sales will resume, please follow our Instagram: @psle_science_sketchnotes and Facebook: AliceTanKiaYin. We look forward to serving you again soon. Thank you for your continued support and patience.
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HOW TO TACKLE RELIABILITY QUESTIONS?

To ensure reliability, the experiment needs to be conducted at least 3 times until the results are consistent. 

In this article I will share with you two question samples on how to tackle questions involving the reliability of the experiment by using "3 RE" Strategy (REliable- REsults-REpeat).

(i)   Why do we repeat experiments a few more times?

If you conduct an experiment just once, you could get an anomalous (uncertain) result.
So, when we repeat the experiments and find the 
average of at least 3 sets of consistent data, the results collected will be more reliable

(ii)   Reliability question is often expressed in the following format:

  • Variant 1: Why is there a need to repeat the experiment a few times?
  • Variant 2: How to ensure the reliability of results of the experiment?

(iii)   How to answer Variant 1 and 2 Questions?

  • Variant 1: To ensure the results obtained are consistent and reliable
  • Variant 2: Repeat the experiment twice ( or Conduct the experiment 3 times / a few times) and find the average (results/ measured variable / dependent variable).



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