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Questions and Answers
What is statistics?
What is statistics?
What is a population in a study?
What is a population in a study?
A set of all individuals of interest in a particular study
What is a sample?
What is a sample?
A set of individuals selected from a population
What does a variable represent?
What does a variable represent?
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What are data?
What are data?
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Define a data set.
Define a data set.
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What is a datum?
What is a datum?
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What is a parameter?
What is a parameter?
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What is a statistic?
What is a statistic?
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What are descriptive statistics?
What are descriptive statistics?
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What are inferential statistics?
What are inferential statistics?
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What is sampling error?
What is sampling error?
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What does a correlational method do?
What does a correlational method do?
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What is a control condition?
What is a control condition?
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What is an experimental condition?
What is an experimental condition?
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What is a quasi-independent variable?
What is a quasi-independent variable?
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What are constructs?
What are constructs?
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What is an operational definition?
What is an operational definition?
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What is a discrete variable?
What is a discrete variable?
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What is a continuous variable?
What is a continuous variable?
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What are real limits?
What are real limits?
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What is a nominal scale?
What is a nominal scale?
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What is an ordinal scale?
What is an ordinal scale?
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What is an interval scale?
What is an interval scale?
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What is a ratio scale?
What is a ratio scale?
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What is the experimental method?
What is the experimental method?
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What is an independent variable?
What is an independent variable?
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What is a dependent variable?
What is a dependent variable?
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Study Notes
Statistics Fundamentals
- Statistics refers to mathematical procedures for organizing, summarizing, and interpreting information.
- A population is the complete set of all individuals relevant to a study.
- A sample is a subset chosen from a population to represent it in research.
Key Concepts in Data
- A variable is a characteristic or condition that can change across individuals.
- Data consists of collected measurements or observations.
- A data set is a collection of such measurements or observations.
- The term datum refers to a single measurement or observation, often known as a score.
Parameters and Statistics
- A parameter describes a population's numerical attributes, derived from individuals' measurements.
- A statistic represents a sample's numerical characteristics, also derived from individual measurements.
Types of Statistics
- Descriptive statistics summarize, organize, and simplify data.
- Inferential statistics enable generalizations about populations based on sample analyses.
- Sampling error indicates the difference between sample statistics and population parameters.
Research Methods
- The correlational method examines the relationship between two different variables.
- Control conditions involve individuals who do not receive the experimental treatment for comparison purposes.
- Experimental conditions involve individuals who receive the treatment being tested.
Variables in Research
- A quasi-independent variable categorizes groups in a nonexperimental setting.
- Constructs are internal characteristics or attributes used to explain behavior, though they cannot be directly observed.
Measurement and Definitions
- An operational definition describes the measurement procedures for external behaviors and defines constructs based on resultant measurements.
- Discrete variables are composed of distinct categories with no intermediate values, while continuous variables can take on an infinite number of values within a range.
Measurement Scales
- Real limits are boundaries for scores on a continuous scale, with each score having upper and lower limits.
- The nominal scale categorizes observations without quantitative distinctions.
- The ordinal scale ranks categories in a meaningful order based on size or magnitude.
- The interval scale has equal intervals between categories with an arbitrary zero point.
- The ratio scale possesses an absolute zero point, allowing for meaningful ratio comparisons between values.
Experimental Design
- The experimental method manipulates one variable to observe its impact on another, aiming to confirm cause-and-effect relationships.
- The independent variable in a study is the one controlled by the researcher, usually involving multiple treatment conditions.
- The dependent variable is the one being evaluated to determine the treatment's effect.
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Description
Dive into the basics of statistics with our Chapter 1 flashcards. Explore essential terms such as population, sample, and variable to build your foundational knowledge. Perfect for students looking to enhance their understanding of statistical concepts.