BIO 305 Lecture Notes - Lecture 1: Null Hypothesis, Standard Deviation, Normal Distribution

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13 Jan 2020
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Randomization -- lots of things that can affect the results that you get; randomizing makes it the same for everyone. Replicates -- ex: 5 replicates per sample. Collecting data in the same condition multiple times. If standard error bars do not overlap -- certain likelihood that there is less than a 5% chance that the measurements are essentially the same. Assumption : photosynthesis increases in proportion to leaf area in grassland. Specific hypothesis : grazing mammals reduce total leaf area in grasslands. Null hypothesis : a statement that says that what we do isn"t going to affect anything; the hypothesis that we are trying to object; what is our certainty that the results we got prove the null wrong -- probability. Fencing = treatment -- because it is something new. Normal distribution -- upside down wide bell curve; strong central tendency. Skewed distribution -- mostly small or mostly large values.