A-Level Pearson Edexcel Pure Math Series

Statistics 1

What you'll learn

students will learn how to apply Statistical rules and use them in real life situations

students need to learn objectives indivisibly and apply their understanding in solving questions

students will learn how to connect different objectives together during solving math problems, knowing the significant of each rule

students will be able to evaluate questions and solve them as challenge

Requirements

Calculator work, math books, notebook, students need to practice all questions in the student book, so they will be able to achieve the full mark

Description

Course Description: IAL Statistics S1 (Pearson Edexcel)This course is designed to equip you with a strong foundation in statistical concepts and methods, preparing you for the Edexcel International Advanced Level (IAL) Statistics S1 exam. Through a combination of theoretical knowledge and practical application, you will gain the skills to:Understand and apply mathematical models in probability and statistics. This includes exploring concepts like randomness, sample spaces, and events.Effectively represent and summarize data. You will learn about various graphical techniques and descriptive statistics to analyze and interpret data sets.Grasp the fundamentals of probability. We will delve into calculating probabilities of events, conditional probability, and Bayes' theorem.Establish relationships between variables using correlation and regression. This will allow you to predict the value of one variable based on the other.Work with discrete random variables and distributions. This includes analyzing probability distributions like the binomial and Poisson distributions.Master the concept of the normal distribution, a cornerstone of statistical analysis. You will learn about its properties, applications, and how to use it to solve problems.By the end of this course, you will be confident in your ability to:Apply statistical methods to real-world problems across various disciplines.Analyze data effectively, drawing meaningful conclusions.Communicate statistical findings clearly and concisely.Prepare for success in the IAL Statistics S1 exam.This course is ideal for:IAL students aiming to excel in the Statistics S1 exam.Anyone interested in developing a strong foundation in statistical thinking and analysis.Please note: - This course follows the Pearson Edexcel IAL Mathematics specification for Statistics S1.- This course will be updated all the time according to students demand for solving past papers questions, and I will consider it as a live course.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Chapter 2 Measure of location and spread

Lecture 2 Chapter 2 session 1 Discrete data mean, median, mode, IQR, SD

Lecture 3 Chapter 2 session 2 Discrete data solving question

Lecture 4 Chapter 2 session 3 continues data difference between 2 tables

Lecture 5 Chapter 2 session 4 continues data Find median by Interpolation method

Lecture 6 Chapter 2 session 5 continues data understand when to use lower or upper boundar

Lecture 7 Chapter 2 session 6 continues data Variance, SD and skewness

Lecture 8 Chapter 2 session 7 understand different rules of variance

Lecture 9 Chapter 2 session 8 Coding and how effect mean and variance

Section 3: Chapter 3 Representation of data

Lecture 10 Ch 3 session 1 remember histogram

Lecture 11 Ch 3 session 2 solving histogram questions

Lecture 12 Ch 3 session 3 Box plot, stem and leaf

Lecture 13 Ch 3 session 4 solving Q3 Oct 2021 Box plot, stem and leaf

Section 4: Chapter 4 probability

Lecture 14 Ch 4 sission1 Probability Basics

Lecture 15 Ch 4 session 2 Conditional Probability

Lecture 16 Ch 4 session 3 Shading Venn Diagram

Lecture 17 Ch 4 session 4 solving Venn questions

Section 5: Chapter 5 Correlation and regression

Lecture 18 Ch 5 session 1 Introduction for Product momentum correlation and line of regress

Lecture 19 Ch 5 session 2 solve question Product momentum correlation and line of reg.

Lecture 20 Ch 5 session 3 Sum properties for coding

Lecture 21 Ch 5 session 4 line of regression and coding

Lecture 22 Ch 5 session 5 Solve question about Product momentum correlation

Section 6: Chapter 6 Discrete random variable

Lecture 23 Ch 6 session 1 Probability distribution table and function

Lecture 24 Ch 5 session 2 cumulative distribution table and function

Lecture 25 Ch 6 session 3 Expected value and variance of a function of X

Section 7: Chapter 7 |The normal distribution

Lecture 26 Ch 7 session 1 Find the area when z is given

Lecture 27 Ch 7 session 2 Find the value of z area given

Lecture 28 Ch 7 session 3 what is Z and how to convert from data to Z value

Lecture 29 Ch 7 session 4 find missing mean or SD or both

This course for students who is doing their A levels Pearson Edexcel and apply for IAL externals