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Statistics
deals with the collection, classification, analysis, and interpretation of numerical facts or data, in such a way that valid conclusions and meaningful predictions can be drawn from them.
Descriptive and Inferential Statistics
two types of statistical methods
Data management
is the practice of collecting, keeping, and using data to maximize its use and benefit.
Population
a set of measurements corresponding to the entire collection of units about
which the information is sought
Sample
subset of the population obtained through a particular method
Gathering Data
a type of selection where each element in a population has the same chance of being selected
Stratified Random Sampling
a simple random selection from each of a given number of subpopulations
Cluster Sample
a simple random sample of clusters (“naturally” formed groups, e.g. families) from the available clusters in the population
1-in-k systematic sampling
a random selection of one of the first k elements in an ordered population, then the systematic selection of every k-th element thereafter
Levels of Measurement
describes the different ways data can be recorded or organized, usually determined by how we want to analyze the data at a later time
Nominal, Ordinal, Interval, and Ratio
4 levels of measurement
Nominal
measured differ from one another only by their names
Ordinal
there exists an ordered relationship either natural or specifically defined among the variables
Interval
the difference or distance between the values is known and is also considered
Ratio
possess the properties of the three lower levels
Data interpretation
refers to the implementation of processes through which data is reviewed for the purpose of arriving at an informed conclusion
Central tendency
is a descriptive summary of a dataset through a single value that reflects the center of the data distribution.
Mean
sum of all values in a dataset divided by the total number of the values
Median
The middle value in a dataset that is arranged in ascending order (from the smallest value to the largest value)
Mode
Defines the most frequently occurring value in a dataset.
Geometric Mean
mean or average which shows the central tendency of a set of numbers by using the product of their values
Harmonic Mean
call it the reciprocal of the arithmetic mean of the reciprocals of the observations.