Statistics Flashcards
___________ is a method of collecting, organizing, analyzing, and
interpreting data or information
Statistics
Statistic methodology is divided into two main areas. What are they?
- Descriptive Statistics: collecting, organizing, summarizing, and presenting data (eg. plotting graphs)
- Inferential statistics: making generalizations and drawing conclusions from the data collected.
__________ is the set containing all the people or objects whose properties are to be described and analyzed by the data collector
population
_______ is a Subset or subgroup of the population
Sample
_________ ________ is the bias introduced by the selection of individuals, groups or data for analysis in such a way that proper randomization is not achieved
selection bias
When is selection bias possible?
When the researcher selects the participants for the study
When is participation bias possible?
When the participants volunteer to be a part of the study
What are the five different types of sampling methods/techniques? (SSSCC)
- Simple Random/Random Sampling
- Systematic Sampling
- Convenience Sampling
- Cluster sampling
- Stratified Sampling
_________ ___________ is a sample that is chosen by using a simple system, such as every 10th person of the population is sampled or every 50th person of the population is sampled
systematic sampling
_________ _________ is when we choose a sample that happens to be convenient to select
convenience sampling
What is a conveniences sample made up of?
Individuals or objects that are easy to reach or are conveniently available to participate in the study
List two examples of convenience sampling.
- selecting students of a particular class
- Interviewing randomly selected participants in a mall or on the street
________ ________ is when The population is divided into different clusters, then randomly select some of those clusters and choose all members of the selected clusters
cluster sampling
_____________ _________ is when researchers Partition the population into different strata and then draw a random sample from each stratum. The total
sample consists of all the samples from the individual strata.
stratified sampling
a single value that describes the way in
which a group of data cluster around a central value is called:
A measure of central tendency
What are the three measures of central tendency
- mean: the average of a data set, found by summing up all of the values and then dividing that number by the amount of values
- median: the middle value when the data set is put in order
- mode: the most frequent value in the data set
