bythreedu · Math Tracks · Curriculum v1.0 · 2026

Data, probability,
and the science
of inference.

A complete Statistics course from data description and probability foundations through hypothesis testing and regression. Built for students who want to understand what statistical methods actually measure — not just run the procedures.

Total Lessons27at your pace
Units8progressive phases
Assignments8+problem sets
DestinationData Analysis
Ready
00Approach
Course Philosophy

Interpretation Is the Skill

Most statistics courses teach students to run procedures correctly. This course adds the harder skill: interpreting what the result means. A p-value is not a probability that the null hypothesis is true. A confidence interval is not a range that the parameter is in 95% of the time. This course is relentless about getting the interpretation right.

Conditions Before Computation

Every statistical procedure in this course is preceded by a conditions check. Skipping conditions is not a shortcut — it is an error. Students who habitually check conditions before computing are the ones who catch real problems in real data.

01Curriculum
Learning Path
01
Unit 1 · Weeks 1–2
Data and Distributions
3 lessons · Data types · Visualizations · The normal distribution
variable typesdistribution shapez-scores
+
02
Unit 2 · Weeks 3–4
Descriptive Statistics
3 lessons · Measures of center · Measures of spread · Five-number summary
mean vs. medianstandard deviationIQR
+
03
Unit 3 · Weeks 5–7
Probability Foundations
4 lessons · Basic probability · Conditional probability · Bayes' theorem
conditional probabilityindependenceBayes
+
04
Unit 4 · Weeks 8–9
Discrete Probability Distributions
3 lessons · Expected value · Binomial distribution · Poisson distribution
expected valuebinomial conditionsPoisson parameter
+
05
Unit 5 · Weeks 10–11
The Normal Distribution and Sampling
3 lessons · Z-table · Sampling distributions · Central Limit Theorem
z-tablestandard errorCLT
+
06
Unit 6 · Weeks 12–14
Confidence Intervals
3 lessons · One-mean intervals · Proportion intervals · Interpreting correctly
t-distributionmargin of errorcorrect interpretation
+
07
Unit 7 · Weeks 15–18
Hypothesis Testing
4 lessons · Logic of testing · One-sample tests · Two-sample tests · Chi-square
p-valueType I and II errortest selection
+
08
Unit 8 · Weeks 19–26
Regression and Capstone
4 lessons + capstone · Simple linear regression · Model assessment · Full analysis
least squaresr-squaredresidual analysis
+
02Capstone
Final Exam Simulation

The capstone is a complete statistical analysis of a real dataset chosen together. From data description through inference, culminating in a written report with full interpretation — no bare output.

○
Gap Review
Two weakest units revisited before the exam simulation.
○
Timed Final Exam
Full-length, independent, same conditions as a real exam.
○
Written Corrections
Every missed problem corrected with reasoning — not just the right answer.
○
Advanced Statistics Readiness Review
A final session on what Advanced Statistics will demand from day one.
03Investment
Pricing Options
Location
per Session
$125
1.5 hrs · online only
Session length
  • —Flexible scheduling
  • —1-on-1 focused attention
  • —No long-term commitment

Best for trying the curriculum before committing to a plan.

Popular
per Month
$500
4 sessions · 1.5 hrs/session
Frequency
Session length
  • —Session notes after every lesson
  • —Async DM support between sessions
  • —Priority scheduling

Adjust frequency and session length above — price updates automatically.

Per Semester
$2,000
16 sessions · 1.5 hrs/session
Term length
Frequency
Session length
  • —All 8 units — full course arc
  • —Session notes after every lesson
  • —Capstone exam simulation + written corrections
  • —Advanced Statistics readiness review at completion

The full Statistics arc in one commitment.

📍
In-person available · NYC onlyMonthly and semester plans can be done in-person. Select “In-person · NYC” above to see adjusted pricing.
04Contact
Let's Talk

Taking AP Stats, intro stats in college, or analyzing real data? One session shows exactly where the gaps are.

What do I need to know coming in?+
Are lessons online or in-person?+
Can I switch plans later?+
What if I need to reschedule?+