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AP Bio Unit 0 Quiz
| Term | Definition |
|---|---|
| Theme 1 (of Biology) | New properties emerge at successive levels of biological organization |
| Theme 2 (of Biology) | Expression and transmission of genetic information |
| Theme 3 (of Biology) | Manipulate energy and matter |
| Theme 4 (of Biology) | Interactions within biological systems |
| Theme 5 (of Biology) | Evolution accounts for the unity and diversity of life |
| Science | A way of knowing |
| Inquiry | A search for information and explanations of natural phenomena |
| CER | Claim, evidence, reasoning |
| Standard Deviation | Measure of how spread out the data is from the mean |
| Low standard deviation | Data set closer to the mean (accurate) |
| Higher standard deviation | Data more spread out from mean (less accurate) |
| Equation for calculating standard deviation | S = √∑(xi - x̄ )^2/n - 1 |
| ±1s of mean gives about what percent of the data set | 68% |
| ±2s of mean gives about what percent of the data set | 95% |
| ±3s of mean gives about what percent of the data set | 99% |
| ∑ | The sum of |
| n | Sample size |
| x̄ | Average (or mean) |
| xi | Data point |
| Equation for calculating standard error | SEx̄ = 2/√n |
| Standard Error | Indication of how well the mean of a sample (x̄) estimates the true mean of a population |
| Accuracy | How close measured value is to the true value |
| Precision | How close measured values are to each other |
| Equation for calculating chi square | χ2 = ∑(o - e)^2/e |
| Equation for degrees of freedom | df = n - 1 |
| Template for null hypothesis | There will be no significant difference between the data sets |
| Template for null hypothesis for Chi Square | There will be no significant difference between what I observed and what I expected |
| Template for "acceptable" results statement from Chi Square Analysis | The difference observed in the data were not statistically significant at the [*] level |
| Overlapping Error Lines (bars) | Difference is not significant |
| Not Overlapping Error lines (bars) | Difference may be significant |