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+--- Thread: A-Level Pearson Edexcel Pure Math Series (/Thread-A-Level-Pearson-Edexcel-Pure-Math-Series)
A-Level Pearson Edexcel Pure Math Series - OneDDL - 08-21-2024
![[Image: 2b5928fd1bd9d83a5c9cc869cb71d6f2.jpeg]](https://i123.fastpic.org/big/2024/0821/f2/2b5928fd1bd9d83a5c9cc869cb71d6f2.jpeg)
Free Download A-Level Pearson Edexcel Pure Math Series
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.37 GB | Duration: 5h 46m
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
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