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Vocabulary flashcards based on the SPSS Data Analysis lecture notes.
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Data Analysis
The gathering, display, and summary of data.
Probability
The laws of chance, in and out of the casino.
Statistical Inference
The science of drawing statistical conclusions from specific data, using a knowledge of probability.
SPSS Features
A user-friendly interface with pull-down menus to execute statistical commands, data management & manipulation capabilities, and the ability to store programs & produce reports/graphs.
Data View
The location in SPSS to enter data, where columns represent variables and rows represent records.
Variable View
The area in SPSS to enter and define variables, listing all variables and their characteristics.
Label
A description of variables in the Variable View.
Value Labels
Used to assign numerical codes to categorical responses (e.g., 1 = Yes, 2 = No).
Cleaning the Data
Verifying data accuracy, handling missing values, and ensuring data consistency during data analysis.
Purposes of Descriptive Statistics
Find wrong entries, have basic knowledge about the sample and targeted variables in a study, summarize data
Skewness
A measure of the asymmetry of a distribution. The normal distribution is symmetric and has a value of zero.
Kurtosis
A measure of the extent to which observations cluster around a central point.
Independent t-test
A statistical test used to determine if there is a significant difference between the means of two independent groups.
Multiple Regression
An analysis technique to predict the value of a dependent variable based on the values of two or more independent variables.