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CELL 120 Unit 1
CELL120 Flashcards
| Answer | |
|---|---|
| The Scientific Method | Observe, Question, Hypothesis, Experiment, Analysis, Conclusion. |
| Hypothesis Development | Specificity (narrow), simplicity (testing 1 thing), theoretical relevance (consistant with a body of facts). |
| Ho/Ha | Null and alternative hypothesis. Reject/Fail to Reject based on evidence. |
| Experimental Design | Comparison (>2 groupes), control (same variables except test), randomization (randomly assign treatments), replication (must be able to do it again. 9 times out of 10 = result) |
| Inclusion criteria: a clinical diagnosis of muscular dystrophy and > 18 years old and exclusion criteria of BMI > 30 and comorbidities of Parkinson's disease or sarcoma are examples of which principle of experimental design? | Control |
| By not randomizing which cohort is assigned what treatment, you introduce ...? | Implicit Bias |
| Which source of tissue yields the highest quality DNA? | Cryopreserved tumor tissue |
| Qualitative data | Characteristics. Nominal: gender, hair color, ethnicity. Ordinal: 1st, 2nd child, grades, economic status. |
| Quantitative data | Numbers. Discrete: by an unchanging interval. Shoe size, price of gasoline, # of students. Continuous: infinite possibilities. Height, square footage, car speed. |
| Precision | How consistant a measurement is (effected by systematic errors. Evaluated with Standard Deviation) |
| Accuracy | How close a measurement is to the true value (effected by random errors, evaluated with percent error) |
| Specificity | SPECIFIES which people DON'T have the disease. (Confidence in a negative test) |
| Sensitivity | SENSES which people DO have a disease. (Can identify small amounts of asymptomatic individuals) |
| Random Errors | Chance. Slight fluctuations in instruments, environment, the way a measurement is read. Not the same error each time. |
| Systematic Errors | Consistently different from the true value with the same error. Improperly calibrated instruments, poorly trained personal. A form of bias. |
| Mean | Average. Doesn't tell the whole story, affected by outliers. Standard deviation. |
| Median | Better for data with outliers. Range. |
| Error bars | Show 1 standard dev. above and below the mean. |
| 68, 95, 99.7% rule | Shows how much data falls 1, 2, or 3 standard deviations away from the mean. |
| P-Value | The probability of a statistic being random chance. Hence why a small P-value means statistical significance. |
| Z-Score | How many standard deveations away the data falls. |
| Box and Whisker plot | Shows outliers, range, and quartiles. |
| Violin plot | Shows population distribution. |
| Principals of presenting data | Simple and organized, consistant color schemes, color draws attention to important things, not mislead people with graphics. |
| What is the best cancer model? | 3D Tumor Organoids (efficient, relevant, and manipulated) |