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Animal Stats Exam 1
| Term | Definition |
|---|---|
| Why we typically subsample a population? | |
| The source of data is important | |
| We need context to understand the data | |
| Lurking or confounding factors | |
| Animals will respond differently to treatments based on inherent variation | |
| When we sample a population, our results are not 100% certain. If we measured an entire population then we can be 100% certain. | |
| The difference between population parameter and simple statistic | |
| Identify sample statistics or population parameters | |
| Can you evaluate the population of interest and the sampling technique to determine if extrapolation occurred? | |
| Difference between quantitative versus qualitative data | |
| Can you classify data that is given to you as quantitative or qualitative or come up with your own examples? | |
| Difference between observational versus experimental studies | |
| Can you identify an observational study or an experimental study? | |
| Random sampling | |
| Stratified sampling | |
| Systematic sampling | |
| Convenience sampling | |
| Voluntary sampling | |
| Undercoverage | |
| What is the difference between descriptive and inferential statistics? | |
| Reliability | |
| Validity | |
| What does bias mean? | |
| Can you identify bias and variability when illustrated using a bull-eye and darts? | |
| Can you identify situations in which bias and/or variability would be increased in a survey? For example, when a sensitive question is asked bias is generally increased. | |
| Random sampling and non-sampling errors | |
| Can you come up with examples of each? How do you reduce random sampling and non-sampling error? | |
| Can you identify different types of non-sampling errors? | |
| Confidence Interval definition | |
| What is the purpose of a CI? | |
| Can you calculate a CI | |
| Do you understand how changing the confidence level affects the confidence interval? | |
| Can you make a confidence statement? | |
| Can you identify incorrect interpretations of a confidence level. | |
| Can you identify factors that influence the confidence we have in a confidence level. | |
| How do you decrease the range of your confidence interval? | |
| Response variables, explanatory variables and treatment. Can you identify them in a study? | |
| Why is a control needed | |
| Types of controls | negative, positive, comparative, sham, historical |
| Identification of types of control treatments in a study | |
| Why is determining sample size an important aspect of experimental study design and what makes it challenging? | |
| How does sample size and variability impact our ability to detect treatment differences if they exist? | |
| Understand and be able to calculate sample size using the given formula. | |
| Understand how changes in %d and CV% affect the required sample size formula | |
| When treatments are randomly assigned, what does this mean? | |
| Common experimental designs (CRD, RBD, Latin square, switchback) How are they different? | |
| Common experimental designs (CRD, RBD, Latin square, switchback) Pros and Cons? | |
| Common experimental designs (CRD, RBD, Latin square, switchback) Can you identify them? | |
| Common experimental designs (CRD, RBD, Latin square, switchback) Can you suggest the best design for a particular example given? | |
| Common experimental designs (CRD, RBD, Latin square, switchback) How should animals be assigned to treatment in each design? | |
| Block is an explanatory variable | |
| Washout periods – what are they and why are they important. | |
| In what experimental design would you use a washout period? |