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Questions and Answers
What are descriptive statistics?
What are descriptive statistics?
What is the standard deviation?
What is the standard deviation?
A measure of variability indicating how tightly the scores are clustered around the mean.
What are inferential statistics?
What are inferential statistics?
Numbers calculated to provide evidence supporting or opposing a hypothesis.
A prediction derived from a theory is called a ___
A prediction derived from a theory is called a ___
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What is an experimental group?
What is an experimental group?
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What is a control group?
What is a control group?
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What does the correlation coefficient indicate?
What does the correlation coefficient indicate?
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What is random assignment in experiments?
What is random assignment in experiments?
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What does statistical significance refer to?
What does statistical significance refer to?
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What is the null hypothesis?
What is the null hypothesis?
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What is Null Hypothesis Significance Testing (NHST)?
What is Null Hypothesis Significance Testing (NHST)?
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What is the p-level?
What is the p-level?
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What is a sample in research?
What is a sample in research?
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What does effect size indicate?
What does effect size indicate?
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What is a confidence interval?
What is a confidence interval?
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What does the term population refer to in research?
What does the term population refer to in research?
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What are error bars?
What are error bars?
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Study Notes
Descriptive Statistics
- Involves numbers derived from a distribution of scores highlighting central tendency (average) and variability (spread around the average).
Standard Deviation
- Indicates the degree of variability by showing how closely scores are clustered around the mean.
Inferential Statistics
- Provides statistical evidence regarding hypotheses by analyzing a distribution of scores.
Hypotheses
- Formulated as testable predictions, often based on theoretical frameworks.
Experimental Group
- Comprised of participants who receive the treatment corresponding to the independent variable in an experiment.
Control Group
- Consists of participants who do not receive the treatment, serving as a baseline for comparison in experiments.
Correlation Coefficient
- Measures the strength and direction of the relationship between two variables, ranging from -1.0 (perfect negative correlation) to +1.0 (perfect positive correlation); a coefficient of 0 indicates no relationship.
Random Assignment
- Method used in experiments to assign participants randomly to experimental or control groups, reducing preexisting differences.
Statistical Significance
- Assesses whether a result is unlikely to have occurred by chance, based on random behavior variations; a low probability indicates statistical significance.
Null Hypothesis
- Represents a presumption of no effect or no difference between values within hypothesis testing.
Null Hypothesis Significance Testing (NHST)
- Evaluates research outcomes by comparing observed results against what would be expected if the null hypothesis were true.
p-level
- Defines the probability of obtaining a difference as extreme or greater than measured, assuming the null hypothesis is accurate; a p-level below 0.05 indicates statistical significance.
Sample
- Refers to selected measurements from a segment of the larger population of interest for research purposes.
Effect Size
- Quantitative measure reflecting the magnitude of the difference between two values, independent of sample size.
Confidence Interval
- Represents a calculated range within which the true population parameter, such as the mean, is likely to fall, typically set at a 95% probability.
Population
- Encompasses the entire group of individuals (or animals) of interest for research, from which samples are drawn for measurement.
Error Bars
- Visual indicators on graphs that depict variability or uncertainty surrounding research results.
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Description
Master the essential terms of statistics in psychology with these flashcards. Explore concepts such as descriptive statistics, standard deviation, and inferential statistics to enhance your understanding of data analysis. Perfect for students looking to sharpen their statistical knowledge in psychology.