Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
10 Cards in this Set
- Front
- Back
Statistical Inference
|
Allows one to estimate population characteristics from sample data
|
|
Probability
|
Prediction - the likelihood that any one event will occur, given all the possible outcomes
|
|
Sampling Error
|
The tendency for sample values to differ from population values, which occurs by chance
|
|
What does a p value of 1.00 mean?
|
100% chance an event will occur
|
|
What does a p value of 0.00 mean?
|
0% chance an event will occur
|
|
How do we prevent sampling error?
|
Have a really big, representative, random sample
|
|
Inclusion Criteria
|
- Primary traits/factors of the target population which will qualify someone as a subject
- Limits the number that can be included in a sample - Gets rid of confounding influences |
|
Exclusion Criteria
|
- Traits/factors which would exclude someone from being a subject
|
|
What are the keys to picking a good sample of the population?
|
Balance the homogeneity of the sample with potential generalizability of the findings
|
|
What is standard error?
|
Standard error of the mean is the standard deviation of a theoretical sampling distribution of means
The bigger the 'n', the more error is reduced SE = sd/square root of n |