Selected: Edexcel A Level Maths - Pure Maths
AS & A2 (Whole Course) - Casio fx-991EX
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AS & A2 (Whole Course) - Casio fx-991EX
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Edexcel 9MA0/01 Jun 2023 A2 Exam Q. 15 ab : 7 marks in 8:24 min.
Edexcel 9MA0/02 Jan 2023 A2 Mock Q. 14 : 10 marks in 12:00 min.
Edexcel 9MA0/02 Jan 2023 A2 Mock Q. 2 a : 2 marks in 2:24 min.
Edexcel 9MA0/02 Jun 2022 A2 Exam Q. 12 : 6 marks in 7:12 min.
Edexcel 9MA0/01 Jun 2022 A2 Exam Q. 8 ab : 5 marks in 6:00 min.
Edexcel 9MA0/02 Dec 2021 A2 Mock Q. 12 a : 3 marks in 3:36 min.
Edexcel 9MA0/01 Dec 2021 A2 Mock Q. 7 a : 3 marks in 3:36 min.
Edexcel 9MA0/02 Dec 2021 A2 Mock Q. 9 : 7 marks in 8:24 min.
Edexcel 9MA0/01 Nov 2021 A2 Exam Q. 14 : 4 marks in 4:48 min.
Edexcel 9MA0/01 Nov 2021 A2 Exam Q. 4 a : 4 marks in 4:48 min.
Edexcel 9MA0/02 Oct 2020 A2 Exam Q. 13 : 6 marks in 7:12 min.
Edexcel 9MA0/02 Oct 2020 A2 Exam Q. 7 a : 4 marks in 4:48 min.
Edexcel 9MA0/01 Oct 2020 A2 Exam Q. 9 a : 3 marks in 3:36 min.
Edexcel 9MA0/02 Jun 2019 A2 Exam Q. 11 a : 5 marks in 6:00 min.
Edexcel 9MA0/02 Jun 2019 A2 Shadow Exam Q. 11 a : 5 marks in 6:00 min.
Edexcel 9MA0/01 Jun 2019 A2 Exam Q. 12 a : 4 marks in 4:48 min.
Edexcel 9MA0/01 Jun 2019 A2 Shadow Exam Q. 12 a : 4 marks in 4:48 min.
Edexcel 9MA0/01 Jun 2019 A2 Shadow Exam Q. 14 : 7 marks in 8:24 min.
Edexcel 9MA0/01 Jun 2019 A2 Exam Q. 14 : 7 marks in 8:24 min.
Edexcel 9MA0/01 Jun 2019 A2 Shadow Exam Q. 3 : 5 marks in 6:00 min.
Edexcel 9MA0/01 Jun 2019 A2 Exam Q. 3 : 5 marks in 6:00 min.
Edexcel 9MA0/01 Jan 2019 A2 Mock Q. 11 : 6 marks in 7:12 min.
Edexcel 9MA0/02 Jan 2019 A2 Mock Q. 11 a : 4 marks in 4:48 min.
Edexcel 9MA0/01 Jun 2018 A2 Exam Q. 5 : 5 marks in 6:00 min.
Edexcel 9MA0/02 May 2018 A2 Mock Q. 6 ab : 5 marks in 6:00 min.
Edexcel 9MA0/01 May 2017 A2 Sample Exam Q. 15 a : 4 marks in 4:48 min.
Edexcel 9MA0/02 May 2017 A2 Sample Exam Q. 3 : 4 marks in 4:48 min.
Checking solutions to quadratic equations in differentiation
1st and 2nd Derivatives
This display allows you to investigate first and second derivatives using polynomial functions.
When you drag the blue point on the polynomial curve at the top
you should see the corresponding first and second derivative curves lining up below it.
The first derivative is the gradient function, and the second derivative is the gradient of the gradient.
Can you see how the second derivative of a maximum point is negative, and that of a minimum point is positive?
Can you see how the second derivative of a point of inflection is zero?
Can you see how the second derivative of a maximum point is negative, and that of a minimum point is positive?
Can you see how the second derivative of a point of inflection is zero?
1st and 2nd Derivatives of Composite Functions
This display allows you to investigate the first and second derivatives of some composite functions.
Visualise the Product Rule
The function $ {x ^ 2} \, (x−1) $ is a product of $ {x ^ 2} $ and $ (x−1) $.
The derivative of $ {x ^ 2} $ is $ 2x $ and the derivative of $ (x−1) $ is $ 1 $.
So, is the derivative of $ {x ^ 2} \, (x−1) $ equal to $ 2x(1) = 2x $, or $ 2x + 1 $, or something else?
This display allows you to visualise the curve $ {x ^ 2} \, (x − 1) $, as well as many other products of functions. You can use it to visualise the "Product Rule" which defines how gradient functions are derived for products of functions.
This display allows you to visualise the curve $ {x ^ 2} \, (x − 1) $, as well as many other products of functions. You can use it to visualise the "Product Rule" which defines how gradient functions are derived for products of functions.
Visualise the Quotient Rule
The connection between a function $ h(x) $ and it derivative $ h'(x) $ is much harder to see when the function
$ h(x) $ is a quotient of two other functions.
This display allows you to visualise the curve $ { x \over x + 1 } $, as well as many other quotients of functions. You can use it to visualise the "Quotient Rule" which defines how gradient functions are derived for quotients of functions.
This display allows you to visualise the curve $ { x \over x + 1 } $, as well as many other quotients of functions. You can use it to visualise the "Quotient Rule" which defines how gradient functions are derived for quotients of functions.