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Statistics for Behavioral Sciences Chapter 1 Part 1

Statistics15 CardsCreated 26 days ago

This deck covers essential terms and concepts from Chapter 1 of Statistics for Behavioral Sciences, focusing on definitions and relationships between statistical elements.

statistics (term)

refers to a mathematical set of procedures for organizing, summarizing, and interpreting information
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Key Terms

Term
Definition
statistics (term)
refers to a mathematical set of procedures for organizing, summarizing, and interpreting information
Population
the set of all the individuals of interest in a particular study.
Sample
a set of individuals selected from a population, usually intended to represent the population in a research study.
The relationship between a population and a sample.
a researcher studies a sample and then generalizes the results from the sample to the population.
Variable
a characteristic or condition that changes or has different values for different individuals.
Datum
(singular) is a single measurement or observation and is commonly called a score or raw score.

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TermDefinition
statistics (term)
refers to a mathematical set of procedures for organizing, summarizing, and interpreting information
Population
the set of all the individuals of interest in a particular study.
Sample
a set of individuals selected from a population, usually intended to represent the population in a research study.
The relationship between a population and a sample.
a researcher studies a sample and then generalizes the results from the sample to the population.
Variable
a characteristic or condition that changes or has different values for different individuals.
Datum
(singular) is a single measurement or observation and is commonly called a score or raw score.
Data
(plural) are measurements or observations.
Parameter
a value, usually a numerical value, that describes a population. A parameter is usually derived from measurements of the individuals in the population.
Statistic
is a value, usually a numerical value, that describes a sample. A statistic is usually derived from measurements of the individuals in the sample.
Descriptive Statistics
statistical procedures used to summarize, organize, and simplify data.
inferential statistics
consist of techniques that allow us to study samples and then make generalizations about the populations from which they were selected.
sampling error
is the naturally occurring discrepancy, or error, that exists between a sample statistic and the corresponding population parameter.
Sampling error example
Because the characteristics of each sample depend on the specific people in the sample, statistics will vary from one sample to another. For example, the five students in sample 1 have an average age of 19.8 years and the students in sample 2 have an average age of 20.4 years.
Relationships between Variables
Most research, however, is intended to examine relationships between two or more variables.
correlational method
two different variables are observed to determine whether there is a relationship between them.