Section 1.1

Introduction to the Practice of Statistics

Why do we need statistics? It's not just "applied math"—it's the scientific framework we use to understand a variable world.

1

The Philosophy of Variability

Statistics is the science of collecting, organizing, summarizing, and analyzing information to draw conclusions. But why does it exist separately from pure math?

LogicLens: The Reasoning Bridge

"Because of Variability."

Pure Math (Deterministic)

If , then . This is always true. 100% certainty.

Reality (Variable)

Measure one person's height: . Measure another: . They are different.

If everyone were identical, we'd only need to measure one person. Statistics exists to quantify the uncertainty created by this variability.

2

Population vs. Sample (The Inference Loop)

The Truth

Population

The entire group to be studied. Usually impossible to measure completely.

Described by: Parameters ()
The Evidence

Sample

A subset of the population. The actual data we possess.

Described by: Statistics ()

The Statistical Process Loop

1. Identify Objective
Question about Population
2. Collect Data
Gather a Sample
3. Describe Data
Organize the Sample
4. Perform Inference
Conclusion about Population
3

The Taxonomy of Variables

Classification determines the valid math operations.

Qualitative
Categorical labels. Math is meaningless (can't average Eye Color).
Quantitative
Numerical measures. Operations like addition/averaging make sense.
VariableTypeReasoning (Edge Cases)
Zip CodeQualitativeLooks numerical (90210), but adding them is meaningless. They are location labels.
Shoe SizeDiscrete"8.5" looks like a decimal, but values come in fixed steps. You can't have size 8.72.
TemperatureContinuousInfinite possibilities between any two points. Can be 70.15°F.
4

Levels of Measurement

Nominal
Names only
=
Ex: Eye Color
Ordinal
Order matters
< >
Ex: Rankings
Interval
Diffs matter (No 0)
+ -
Ex: Temp (F/C)
Ratio
True Zero exists
× ÷
Ex: Height, $$

LogicLens Proof: The Failure of "Twice as Hot"

Why implies ?

Assumption

If "Twice as Hot" is real, the ratio must hold in any valid unit (Physics invariance).

Celsius Check
Ratio:

Contradiction. The ratio is not preserved.

Reasoning: is not "No Heat". Without a True Zero, multiplication ratios are invalid.

Common Pitfalls

  • Confusing the raw 'Data' list with the calculated summary 'Statistic'.
  • Thinking 'Decimal = Continuous'. Money ($1.50) is discrete.
  • Trusting Voluntary Response samples (large bias).

Real-World Application

A/B Testing (Netflix/Google)

Companies show Interface A to 99% of users (Pop) and Interface B to 1% (Sample).

If Sample B spends 5% more time (Variable), statistics tells us if that's a real signal or just random noise.

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