Libog Flashcards
EDA in statistics stands for
Exploratory Data Analysis
CDA in statistics stands for
Confirmatory Data Analysis
A type of statistics which assume that the data follow a specific distribution (usually normal) and rely on parameters like mean and standard deviation.
Parametric Statistics
A type of statistics that does not assume a specific distribution for the data, making them useful for data that is ordinal, nominal, or not normally distributed.
Non-parametric Statistics
A type of statistics which focuses on analyzing and summarizing data for a single variable at a time, often using measures of central tendency and dispersion.
Univariate Statistics
A type of statistics that examines the relationship between two variables to identify any association or correlation.
Bivariate Statistics
A type of statistics which involves analyzing data that includes more than two variables to understand complex relationships and interactions among them.
Multivariate Statistics
It is an approach to analyzing data sets to summarize their main characteristics often with visual methods. It’s used to detect patterns, anomalies, and check assumptions.
Exploratory Data Analysis
It is used to confirm hypotheses about data. It often involves inferential statistics methods to test hypotheses.
Confirmatory Data Analysis
A type of statistics which involves updating the probability of a hypothesis as more evidence or data becomes available, based on Bayes’ Theorem.
Bayesian Statistics
It focuses on analyzing data points
collected or recorded at specific time intervals, typically to forecast future trends.
Time Series Analysis
A type of statistics which analyze data that has a spatial or geographical aspect, identifying patterns, clusters, or variations across locations.
Spatial Statistics
Which of the following tests is appropriate for comparing means of two independent samples?
Independent t-test
When performing a hypothesis test for a population proportion, which distribution is generally used?
Normal distribution
In an ANOVA test, the null hypothesis is
The population means are equal.