1.4 Confidence and Uncertainty in Chemistry
Chemistry, like other sciences, involves both confidence and uncertainty when analyzing experimental results. Scientists use tools to measure how precise or reliable their data is:
1. Confidence Intervals
Confidence intervals show how precise a measurement is. For example, if a pharmacist measures the concentration of a solution to be 0.50 molar with a 95% confidence interval (0.48- 0.52 molar), it means they are 95% sure that the true value is within this range.
2.P-Values
P- values help scientists check if experimental results are meaningful. For example, if a chemist tests whether a new catalyst works faster than an old one and finds a p- value of 0.01, it means there's only a 1% chance that the result is random. This shows the new catalyst is almost certainly better.