It is important for scientists to be repeatable so it lets them see patterns and trends in their results. This is affirmative for their work, making it stronger and better able to support their claims. This helps maintain integrity of data.
The included angle, i.e. If two pairs of sides of two triangles are in proportion, and the included angles are equal, then the triangles are similar.
It is important because if the sample size is smaller, outliers could skew the data more than if it was large.
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Meteorologists use computer models to predict the weather. And computational power has come an extended way. Yet meteorologists still have trouble correctly predicting the weather over some days. Sometimes they don’t even comprehend right over 24 hours! Why does this happen? Their ability to predict the weather is restricted by the number of available data, the time available to research it, and therefore the complexity of weather events.
Explanation: