Stats S1

Chap 1

Worksheet 1 🏁

Ex 1 : Probability tree adding across

Ex 2: : we have a situation of prob, want to find a value using x

Cours

1) Definitions and concepts

Outcome, sample space, event, elementary event, partition

2) Set theories/ operations on sets

Complement

Union

Intersection

Distribution Law

De Morgan's Law

3) Probability measures

Must satisfy 3 axioms

Probability properties (between 0 and 1, empty event,

4) Law of total probabilities

with Ai and B

Special case

5) Probability for countable sample space

simple formula to calculate P(A°

Uniform sample space ⚠

6) Conditional probability

formula

Bayes formula

7) Proving independence

using intersection

using conditional prob

8) Counting method

Ex 3: Using prop if independance to find unknown value

Ex 4 : counting method use permutation

Chap 2

Worksheet 2 🏁

Ex 1: 1) ❓ 2) ✅ 3) ✅

Ex 2 ✅

Ex 3 ⚠

Ex 4) q1) continuity on d? ❓ q2) ✅

Ex 5: q1) CDF value at the end ❓ 2) ⚠ 3) ⚠

Ex 6 ♻

Ex 7 ♻

Ex 8 ⭐

Ex 9

Ex 10

Ex 11 no need

Ex 12 no need

Chap 3 - 4

Extra practice

Midterm 2020

Cours

Cours "pdf Chap 3 & 4 in english"

Chap 5

Cours

Ex 4 ⭐

Part 2- Approximation

Binomial by a Poisson

Binomial by a Normal

Central limit theorem

Part 2- Joint distributions of discrete r.v

1) ✅ / Q2 ❓ / Q3 : ✅

1) ✅ / 2) ✅

Q1 ✅ / Q2 on ❓ a trouvé ou 22+x?

Ex 1: ✅ determine CDF / play with Bernouilli and Geometric find the distribution

Ex 5 : Find the CDF function using equivalence

Worksheet 3 🏁

Chap 3: Introduction to Sampling

Explain the context of inferential stats

Formalisation in letter p6

Study the quality of the estimator: E(X) and Var(X) (p8)

Methodology: (p10)

Notation (p12)

Chap 4: Pointwise estimation

methodology (p19)

Properties of an estimator (p26) / Bias (unbiased and asymptotically unbiased) / Consistent estimator

Comparing estimators (p28)

Common estimators (p29)

Sample mean / sample variance (biased and unbiased)

sample frequency p32?

Methods

Method 1: Using natural estimator (p34)

If no natural estimator use Method 2: Method of Moments (p39)

Method 3: Maximum likelihood estimator (p43)

Ex 1 : Q1 ✅

Ex 2 MLE log✅

✅compris mais quand meme refaire

Ex 3: log pour fonction continue / max 🔒

Worksheet 4 🏁

Ex 1 - build confidence interval how do I find the values at the end??? ❓

Ex 2 - build CI using case 2 - bilateral and unilateral

Ex 4 - build CI using case 3

Ex 5 - Using case 4 - poisson law

Ex 6 - playing with n