Data & Interpretation Flashcards
Statistics
The science whereby inferences are made about specific phenomena on the basis of relatively limited sample material
What are two main areas of statistics and define.
- mathematical statistics - the development of new methods of statistical inference and requires detailed knowledge of abstract mathematics for its implementation
- applied statistics- involves applying the methods of mathematical statistics specific subject areas, such as economics, psychology, and public health
Biostatistics
The branch of applied statistics that applies statistical methods to medical and biological problems.
Frequency Distribution
Lists each value in the data and how frequently it occurs
Continuous Distribution
Infinite number of possible values
Discrete Distribution
Only a few possible values
Inferential Statistics
Used to determine if differences in outcome variables in your data are real or simply due to chance
Error of the estimate
The difference between your sample data estimate and the true population measure for the variable in question
Measure of Location
Summarizes data by defining the center, or middle, of the sample
Mean (average)
The sum of all observations divided by the number of observations
Median
The middle score
Mode
The most frequently occurring value among all of the observations in a sample
Variability of a sample
The spread of the data
List four examples of measures of spread
- Range
- Quantiles
- Variance
- Standard Deviation
Range
The difference between the largest and smallest observation in a sample.
How to calculate percentile
1) The (k +1)th largest sample point if np/100 is not an integer (where k is the largest integer less than np/100).
2) The average of the (np/100)th and (np/100 =1)th largest observations if n*p/100 is an integer.
Mean deviation
The difference between an individual sample and the mean
Variance
The variance(known as 𝑠2) is the sum of the differences of each data point from the mean, squared and divided by N-1
Standard Deviation
The measure of the spread of scores within a set of data. The square root of the variance
Coefficient of variation (CV)
Relates the mean and standard deviation to each other. Useful for comparing the variability of several different samples, each with different means.
Frequency Distribution
An ordered display of each value in a data set together with its frequency
Probability
The relative frequency of this set of outcomes over an indefinitely large (or infinite) number of trials
Sample Space
Set of all possible outcomes
Event
Any set of outcomes of interest
What are the two basic properties of probabilities
- The probability of an event E, denoted by Pr(E), always satisfies 0 le PR(E) le 1.
- If outcomes A and B are two events that cannot both happen at the same time, the PR (A or B occurs) = PR(A) + PR(B).
Mutually Exclusive
Events cannot both happen at the same time
The multiplication law of probability
If two events are independent, then
Pr(A∩B) = Pr(A) x Pr(B)