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Season
Season 1 Episode
- Season 1 What Is Statistics?
- Season 1 Stemplots
- Season 1 Histograms
- Season 1 Measures of Center
- Season 1 Boxplots
- Season 1 Standard Deviation
- Season 1 Normal Curves
- Season 1 Normal Calculations
- Season 1 Checking Assumption of Normality
- Season 1 Scatterplots
- Season 1 Fitting Lines to Data
- Season 1 Correlation
- Season 1 Two-Way Tables
- Season 1 The Question of Causation
- Season 1 Designing Experiments
- Season 1 Census and Sampling
- Season 1 Sample and Surveys
- Season 1 Introduction to Probability
- Season 1 Probability Models
- Season 1 Random Variables
- Season 1 Binomial Distributions
- Season 1 Sampling Distributions
- Season 1 Control Charts
- Season 1 Confidence Intervals
- Season 1 Tests of Significance
- Season 1 Small Sample Inference for One Mean
- Season 1 Comparing Two Means
- Season 1 Inference for Proportions
- Season 1 Inference for Two-Way Tables
- Season 1 Inference for Regression
- Season 1 One-Way ANOVA
- Season 1 Summary
Against All Odds: Inside Statistics - Season 1 Episode 11 Fitting Lines to Data
0.00 48 minutes Winter snowpack in the Colorado Rockies can predict spring water supply. Plotting annual measurements in a scatterplot lets resource managers draw a regression line that helps them forecast water availability.
