Studyclix

Introduction to the normal distribution

added by gabrielle123 — Normal distribution

Introduction using examples

Properties of definite integrals

added by gabrielle123 — Fundamental theorem of calculus and definite integrals

Coverage of all properites of definite integrals

Sine Rule, Cosine Rule and Area of Triangle Formulas

added by gabrielle123 — Cosine and sine rules

establish and use the sine (ambiguous case is required) and cosine rules and the formula for the area of a triangle.

Approximate Confidence Interval

added by gabrielle123 — Confidence intervals for proportions

use the approximate confidence interval, as an interval estimate for pp, where zz is the appropriate quantile for the standard normal distribution.

Differentaition of logarithms

added by gabrielle123 — Calculus of logarithmic functions

Explanantions and examples

Considering derivatives visually

added by gabrielle123 — Calculus of exponential function

Use of Desmos to show exponential functions and their derivatives

Language of ‘at most’ and ‘at least’ in Binomial Distribution Problems

added by gabrielle123 — Binomial distributions

Identify contexts suitable to model binomial distributions and associated probabilities to solve practical problems, including the language of ‘at most’ and ‘at least’

Mean and Variance of Bernoulli Distribution

added by gabrielle123 — Bernoulli distributions

recognise and determine the mean p and variance p(1−p) of the Bernoulli distribution with parameter P

Why integration means area

added by gabrielle123 — Application of integration

Simple, logical explanation

Integration rules

added by gabrielle123 — Anti-differentiation

Summary with examples

Confidence Interval

added by gabrielle123 — Confidence intervals for means

understand the concept of an interval estimate for a parameter associated with a random variable

Motion in a straight line

added by gabrielle123 — Vector calculus

Worked exmples

Vector Equation of a Curve

added by gabrielle123 — Vector and Cartesian equations

how to use vector equation of a curve in two or three dimensions involving a parameter, and determine a ‘corresponding’ Cartesian equation in the two-dimensional case.