Complete A-Level Maths: Statistics in 6 Lectures

Name: Complete A-Level Maths: Statistics in 6 Lectures
Rating: 4.5 (2 reviews)

Created byWestbound Maths

Last updated 1/2021

English

What you'll learn

A- Level Applied Mathematics: Statistics topics
Statistical sampling: random vs. non-random sampling methods
Statistical measures of location: median, mode, mean, quartiles and percentiles
Statistical measure of spread: interquartile range, percentile range, variance, standard deviation
Correlation, linear and exponential regression
Discrete Probability Distribution: discrete uniform distribution, binomial distribution
Continuous Probability Distribution: normal distribution, standard normal distribution
Approximating binomial distribution with normal distribution
Hypothesis Testing of correlation, binomial and normal distribution parameters
Venn diagram, tree diagram, Conditional Probability
Large Data Set

Course content

5 sections • 8 lectures • 7h 27m total length

Introduction5:25
The Westbound Maths Complete A-Level Applied Maths: Statistics Course covers the entire A-Level applied maths: statistics syllabus which represents 1/6 of the final exam weight for A-Level Mathematics qualification.
The course consists of 6 lectures with over 7 hours of class videos, accompanying exam- styled homework and detailed mark scheme for the following topics:
Statistical Sampling Method and Measures
Correlation, Linear and Exponential Regression
Discrete Probability Distribution
Normal Probability Distribution
Hypothesis Testing
Probability
The introduction video gives you an overview of the new A- Level Mathematics specification and the course, and discusses how to fully utilize materials provided in each lecture.

Statistical Sampling Methods and Measures Part I1:25:16
During Class
We will cover the following topics on Statistical Sampling Methods and Measures. The Classnote_Statistical Methods and Measures1 handout follows the class video, and includes consolidated key concepts, examples, and exercises gone through in class.
1. Statistical Sampling Methods
Random Sampling
Non-random Sampling
2. Statistical Sampling Measures
Grouped Frequency Table
Measure of Location
Measure of Spread
Coding
After Class
Learning doesn’t stop after classes, we all know practice makes perfect.
The homework includes four questions designed to complement classroom learning.
They should be completed without the help of notes to help identify any knowledge gap.
Statistical Sampling Methods and Measure Part II47:34
During Class
We will cover the following topics on Statistical Sampling Methods and Measures. The Classnote_Statistical Methods and Measures2 handout follows the class video, and includes consolidated key concepts, examples, and exercises gone through in class.
1. Recap of Grouped Frequency Table
2. Representation of Data
Boxplot
Cumulative Frequency Diagram
Histogram
3. Correlation
After Class
Learning doesn’t stop after classes, we all know practice makes perfect.
The homework includes four questions designed to complement classroom learning.
They should be completed without the help of notes to help identify any knowledge gap.
How to find correlation using a scientific calculator?8:29
A tutorial video on how to find correlation given two sets of variables using the Casio Classwiz calculator.

Discrete Probability Distribution1:05:06
During Class
We will cover the following topics on Discrete Probability Distribution. The Classnote_Discrete Probability Distribution handout follows the class video, and includes consolidated key concepts, examples, and exercises gone through in class.
1. Definition in Probability Distribution
2. Discrete Probability Distribution
Discrete Uniform Distribution
Discrete Non-uniform Distribution
3. Binomial Distribution
After Class
Learning doesn’t stop after classes, we all know practice makes perfect.
The homework includes four questions designed to complement classroom learning.
They should be completed without the help of notes to help identify any knowledge gap.
Continuous Probability Distribution1:28:15
During Class
We will cover the following topics on Continuous Probability Distribution. The Classnote_Continuous Probability Distribution handout follows the class video, and includes consolidated key concepts, examples, and exercises gone through in class.
1. Recap of Discrete Probability Distribution
2. Normal Distribution
3. Standard Normal Distribution
4. Approximating a binomial distribution using normal distribution
After Class
Learning doesn’t stop after classes, we all know practice makes perfect.
The homework includes four questions designed to complement classroom learning.
They should be completed without the help of notes to help identify any knowledge gap.

Hypothesis Testing1:20:38
During Class
We will cover the following topics on Continuous Probability Distribution. The Classnote_Continuous Probability Distribution handout follows the class video, and includes consolidated key concepts, examples, and exercises gone through in class.
1. What is hypothesis testing?
2. Application of Hypothesis Testing
For correlation
For Binomial Distribution
For Normal DIstribution
After Class
Learning doesn’t stop after classes, we all know practice makes perfect.
The homework includes four questions designed to complement classroom learning.
They should be completed without the help of notes to help identify any knowledge gap.

Probability1:07:16
During Class
We will cover the following topics on Continuous Probability Distribution. The Classnote_Probability handout follows the class video, and includes consolidated key concepts, examples, and exercises gone through in class.
1. Definition
2. Finding Probability with Venn diagram
3. Conditional Probability
After Class
Learning doesn’t stop after classes, we all know practice makes perfect.
The homework includes four questions designed to complement classroom learning.
They should be completed without the help of notes to help identify any knowledge gap.

Requirements

Have completed GCSE Mathematics

Description

Founded by two recent Cambridge graduates, Westbound Maths has been running in-person training for students based in North London since 2018, and now we are online! Our courses are designed for Exam Preparation and Grade Improvement with proven results- 88% of our past students improved their final grades by at least one band from predicted grades!

What Complete A-Level Maths: Statistics Course in 6 Lectures teach:

The Westbound Maths Complete A-Level Applied Maths: Statistics Course covers the entire A-Level applied Maths: statistcis syllabus which represents 1/6 of the final exam weight for A-Level Mathematics qualification. The course consists of 6 lectures with over 7 hours of class videos, accompanying exam- styled homework and detailed mark scheme for the following topics:

Statistical Sampling Methods: random vs. non-random sampling methods, and their respective advantages and disadvantages
Statistical Measures: measures of location including mode, median, mean, quartiles and percentiles; measures of spread including interquartile range (IQR), variance and standard deviation
Correlation, linear and exponential regression
Discrete Probability Distribution: discrete uniform distribution, discrete non-uniform distribution; and binomial distribution
Continuous Probability Distribution: normal distribution, standard normal distribution; approximating binomial distribution using normal distribution.
Hypothesis testing and its three applications: 1) testing for the correlation between two variables; 2) testing whether the probability of success in a binomial distribution is of a certain value; 3) testing whether the mean of a normal distribution is of a certain value.
Probability: how to find probabilities using a Venn diagram; conditional probability.

How to fully utilize the course materials:

Class video: we always start with the key concepts and definition within a topic, and then jump straight into a past exam question (sourced across major exam boards) to see how these concepts are tested and applied, then you will be given an exam-styled classroom exercise for practice followed by a detailed step-by-step guide on how to solve it.
Handouts: every lecture is accompanied with a handout that summarizes key concepts covered, exam- styled question solving examples, and classroom exercise solutions.
Homework with exam-styled questions: for each lecture, the homework contains exam-styled questions which should be completed under exam conditions to help students identify any knowledge gap.
Mistake Diagnosis : use the detailed sample solution to diagnose any mistake in homework which is the key to grade improvement.

Who this course is for:

Parents of Year 13/A-Level students who want to improve grades and revise for exams
Parents of Year 12/AS Level students who want to challenge themselves and study Year 13 content ahead
Parents of GCSE students who want to challenge themselves and study A-Level content ahead
Parents of Further Maths students who want a consolidated recap of Mathematics subjects

Complete A-Level Maths: Statistics in 6 Lectures

What you'll learn

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Course content

Introduction1 lecture • 5min

Statistical Sampling Methods and Measures3 lectures • 2hr 21min

Probability Distribution2 lectures • 2hr 33min

Hypothesis Testing1 lecture • 1hr 21min

Probability1 lecture • 1hr 7min

Requirements

Description

Who this course is for: