Quiz 2

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Stats 2

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Weekly outline

Syllabus

Week topics from the course map

00W00

Topic

Incomplete
01W01

Multiple random variables - Two random variables, Multiple random variables and distributions

Incomplete
02W02

Multiple random variables - Independence, Functions of random variables - Visualization, functions of multiple random variables

Incomplete
03W03

Expectations Casino math, Expected value of a random variable, Scatter plots and spread, Variance and standard deviation, Covariance and correlation,

Incomplete
04W04

Continuous random variables Discrete vs continuous, Weight data, Density functions, Expectations

Incomplete
05W05

Multiple continuous random variables - Height and weight data, Two continuous random variables, Averages of random variables - Colab

Incomplete
06W06

Refresher week

Incomplete
07W07

Estimation and Inference I

Incomplete
08W08

Estimation and Inference II

Incomplete
09W09

Bayesian estimation

Incomplete
010W10

Hypothesis testing I

Incomplete
011W11

Hypothesis Testing II

Incomplete
012W12

Revision week

Incomplete

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Foundational

Diploma

BSc Degree

BS Degree

PG / MTech

BSMA1004
Foundational
4 Credits

Statistics for Data Science II

This second course will develop on the first course on statistics and further delve into the main statistical problems and solution approaches

Required Dependencies:

Execution Protocol

Module 0

Topic

Module 1

Multiple random variables - Two random variables, Multiple random variables and distributions

Module 2

Multiple random variables - Independence, Functions of random variables - Visualization, functions of multiple random variables

Module 3

Expectations Casino math, Expected value of a random variable, Scatter plots and spread, Variance and standard deviation, Covariance and correlation,

Module 4

Continuous random variables Discrete vs continuous, Weight data, Density functions, Expectations

Module 5

Multiple continuous random variables - Height and weight data, Two continuous random variables, Averages of random variables - Colab

Module 6

Refresher week

Module 7

Estimation and Inference I

Module 8

Estimation and Inference II

Module 9

Bayesian estimation

Module 10

Hypothesis testing I

Module 11

Hypothesis Testing II

Module 12

Revision week

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