The videos below explore all of the common measures used to describe a single variable. From means to medians, standard deviation to kurtosis!
The Mean:
Definition | Weighted mean | The mean of a categorical variable | Challenge question
EXTRA - Advanced Means:
Arithmetic mean | Geometric mean | Harmonic mean | Cool challenge question!
Notes: Justin uses the phrase “the mean is the cheeseburger of descriptive stats”.
The Median:
Definition | Mean versus Median | Challenge Question
Notes: Justin decides that toilet humour is not beneath him.
The Mode:
Definition | Why the mode sucks for small samples | Mean vs Median vs Mode | Challenge Question
Notes: Justin pronounces “a la mode” like a boss.
Quantiles:
Quartiles | Percentiles | Deciles | Crocodiles?
Notes: No crocodiles appear in the video
Range and IQR (Interquartile Range)
Range | IQR | Box and Whisker plots
Notes: Justin professes his love of Gelato Messina’s pistachio praline.
Variance and Standard deviation:
Definition | Why do we need variance? | Why divide by n-1? | Degrees of freedom
Coefficient of Variation:
Definition | Why do we need it? | Practical Example | Challenge Question
Skewness
Definition | Pearson’s method | Method of moments | Visualisation | Challenge Question
Notes: Justin experiences a dream sequence
Kurtosis
Definition | Calculation | Types | The “Peakedness” Controversy
Notes: How do YOU pronounce “controversy”?
Standard Error (of the sample mean)
Definition | Confidence Intervals | Standard Error of the Sample Proportion | Challenge Question
Moments
Definition | Intuition behind moments | Crude vs Centred vs Standardised moments | Sampling adjustments
Covariance and Correlation
How do we assess the relationship between two variables?? Covariance and correlation are two related measures. Let’s find out how they work!