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;
26 Cards in this Set
- Front
- Back
Theory and methodology for study design and for describing, analyzing, and interpreting data.
|
Statistics
|
|
Each member of the population has an equal chance of being chosen
|
Simple random sample
|
|
Population is divided into non-overlapping groups (called strata). Sample is then choses from these groups
|
Stratified random sample
|
|
Random sampling with a system. Starting point chosen at random and then samples are chosen at regular intervals after.
|
Systematic sample
|
|
Units to be sampled are chosen in clusters close to each other. Within clusters, units are chosen by simple random sampling
|
Cluster sample
|
|
Subjects are convenient (next 20 patients in your clinic)
|
Convenience sample
|
|
Data that is categorical and discrete
|
Qualitative data
|
|
Data that is numeric and continuous
|
Quantitative data
|
|
Median
|
Midpoint
|
|
Mode
|
Value that occurs most frequently
-Unimodal and multimodal |
|
Measure of the variability in scoring
|
Standard deviation
|
|
The square of the standard deviation
|
Variance
|
|
Middle of the box plot
|
Median
|
|
Box contains what percentage?
|
25th percentile to 75th percentile
|
|
Whiskers of box plot depict?
|
The highest and lowest scores.
|
|
Z-score
|
The standard deviation above or below the mean
|
|
Parameter
|
The value calculated in a population
|
|
What can standard normal deviation do?
|
1. With a mean of zero and standard deviation of one
2. Allows standard scores to be calculated (z-scores) 3. Converting scores to percentile ranks |
|
Sample size
|
1. Greater the sample size, more likely the distribution will look like the true distribution in a population
2. With increased sample size, the spread (variation around the mean) decreases |
|
A single number, like the mean
|
Point estimate
|
|
A range of numbers that describe uncertainty due to play of chance
|
Interval estimate
|
|
A range of values that has a specified probability of containing the parameter being estimated
|
Confidence interval
|
|
Measure of correlation, Pearson's r
|
r = -1
r = +1 r = 0 |
|
Type I error
|
False Positive, when you reject the null hypothesis when it is true
|
|
Type II error
|
False negative, when you accept Ho when Ho is false
|
|
Power
|
1-Beta
|