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1: Central tendency (mean and median)
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2: Data dispersion
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3: Standard error/confidence intervals
4
Statistical testing procedures and the p value
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6: The t test
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7: the F test
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8: ANOVA
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Shapiro-Wilk test
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10: Kolmogorov-Smirnov test
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11: Mann-Whitney U test
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12: Kruskal-Wallis test
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13: Levene's Test
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14: Categorical data (intro and test choice)
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15: Exact binomial test/exact multinomial test
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16: Fisher's exact test
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17: Chi-squared test
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18: Pearson product-moment correlation
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19: Non-parametric correlation
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Linear regression
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21: ANCOVA
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22: Logistic regression
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23: Mahalanobis distance
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24: Hotelling T2 test
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25: MANOVA
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Linear mixed effects models
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26: Resampling methods (bootstrapping)
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27: Resampling (two-sample tests)
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28: Principal Component Analysis
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29: Non-Metric Multidimensional Scaling (NMDS)
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30: Maximum likelihood estimation
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Multiple regression
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Partial and semipartial correlation
33
Generalized least squares regression
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Factorial ANOVA
35
Nested ANOVA
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Time series and first differences
37
Statistical power
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Regression with Count Data: Poisson and Negative Binomial
Description:
Explore a comprehensive 7-hour video series on statistics and data analysis from the University of California, Santa Cruz's EART125 class. Dive into fundamental concepts like central tendency, data dispersion, and confidence intervals. Master various statistical testing procedures, including t-tests, F-tests, ANOVA, and non-parametric tests. Learn about categorical data analysis, correlation techniques, and regression models. Advance to more complex topics such as MANOVA, linear mixed effects models, resampling methods, and principal component analysis. Gain practical skills in time series analysis, statistical power, and specialized regression techniques for count data. Equip yourself with a comprehensive toolkit for statistical analysis across diverse scientific disciplines.

Earth - Stats and Data Analysis

Matthew E. Clapham
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#Data Science #Data Analysis #Mathematics #Statistics & Probability #Statistical Modeling #Regression Analysis #Statistical Analysis #Data Interpretation #Central Tendency #t-tests #ANOVA
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1 1: Central tendency (mean and median)