Flashcards in Stats 2 First Exam Deck (61)
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1
Descriptive research
Describes population we are studying
2
Central tendency demonstrates
Mid-points
3
Spread
Range, SD, D, etc.
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Frequency
Number of times it occurs, percent/portion of time it occurs: n, f, p
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Inferential research
Infer from the sample to the population
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Parameter
Value corresponding to population
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Statistic
Value corresponding to sample
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Historical research
Looking at past using causal comparative, descriptive, and inferential analysis
9
Regression
Type of correlation research positing temporal order of variable
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Causal-Comparative
Allows for making causal statements
11
Ex-post facto
Identify settings with differing characteristics and assume difference in results is due to different characteristics
12
Pre-experimental designs
Are limited. Example: One-shot case study
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Quasi-experimental design
Control group and experimental group but no randomization.
14
True experimental design
Researcher manipulation and randomization
15
Meta-analyses
Aggregate results from many different studies (frequently based on effect sizes)
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Continuous variable
Allows values in-between
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Categorical variable
Groups, no in-between
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Fixed variable
Allows only certain range (e.g., ages 20-40)
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Random variable
Allows all possibilities. Each has equal and independent chance of occurring
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Multivariate
More than one DV
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Univariate
One DV
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Multiple regression
More than one IV
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Factorial
More than one IV with analysis of variance
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Sampling distribution
Graph statistics of infinite number of samples (graph of means)
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Central limit theorem
Graph of means will be equal to population mean (The mean of the means (Samples) is the mean (population mean)
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Mean distribution
Unit normal curve
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Chi square distribution
Summation of variances
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T distribution
Difference between means divided by standard errors
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F distribution
Variances compared as ratio
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