Quantitative Analysis: Statistical Methods

Related lectures (31)

Page 3 of 4

Explores random variables, their variability, realization of random processes, and the scientific method in material science.

Provides an overview of basic probability theory, ANOVA, t-tests, central limit theorem, metrics, confidence intervals, and non-parametric tests.

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Covers wave functions, electron density, probability distributions, and quantum operators.

Explores unequal variances, replication, power, effect size, biases, and their impact on research outcomes.

Introduces probability theory, random variables, and distributions, with a focus on their applications in atomic diffusion.

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

Covers hypothesis testing, power, confidence intervals, and small sample considerations.

Explains data dispersion, central tendency, variance, standard deviation, and Mean Square Error.

Explores the storage capacity of associative memory in networks of neurons and the impact of multiple prototypes on error rates.