More work on differentiation with fractional coefficients

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Real life problems with differentiation

Simplifying indices.

Another practical application of differentiation

Using BODMAS within mathematical expressions

More work on differentiation with fractional coefficients

Simplifying indices.

6 questions which introduce the student to the Numbas system.

rebelmaths

A collection of questions to show off at a workshop for the North East and Yorkshire sigma hub, June 2016.

Differentiating the natural logarithm

A basic introduction to differentiation

Differentiation of trigonometric functions

Differentiating further exponentials

6 questions which introduce the student to the Numbas system.

rebelmaths

This exercise will help you round off decimals to given decimal places.

Differentiating exponentials

This question allows you to practice identifying the coordinates of points on graphs.

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This question allows you to practice identifying the coordinates of points on graphs.

No description given

6 questions which introduce the student to the Numbas system.

rebelmaths

Integrate $f(x) = ae ^ {bx} + c\sin(dx) + px^q$. Must input $C$ as the constant of integration.

This uses an embedded Geogebra graph of a line $y=mx+c$ with random coefficients set by NUMBAS.

This question is a variation on another version which asks the student to find the height of a bridge arch and width of the river given a formula for the arch of the bridge (also available in the Numbas database)

SbE Mechanics Resit Written Assessment

This easy question is intended to be used by administrators to test the integration of Numbas with a learning environment.

In four parts, the student builds up the definition of a class representing a rectangle. First they write the constructor, then add methods to compute area and perimeter.

In the final part, they must use the methods to write a function which determines if a rectangle's area is larger than its perimeter.

Finding the confidence interval at either 90%, 95% or 99% for the mean given the mean and standard deviation of a sample. The population variance is not given and so the t test has to be used. Various scenarios are included.