A* Academy

4.1.3 S1. Exploring data. Frequency distributions

1.5.1 P1. Differentiation. The basics of differentiation

4.7.5 S1. The normal distribution. Use the normal distribution to approximate for the binomial

4.5.4.2 S1. Permutations and combinations. Solving model exam question (2)

4.1.6 S1. Exploring data. Working with an assumed mean

4.4.1 S1. Discrete random variables. Discrete random variables

4.7.2 S1. The normal distribution. Z - score and using z-score table

4.2.3 S1. Representing and interpreting data. Cumulative frequency curves

4.5.3 S1. Permutations and combinations. The binomial coefficients

4.1.5 S1. Exploring data. Measures of spread (variation)

4.6.1 S1. The binomial distribution. Understanding the binomial distribution

4.5.1 S1. Permutations and combinations. Factorials

4.3.3 S1. Probability. Independent and dependent events + conditional probability

4.1.4 S1. Exploring data. Grouped data

4.4.2 S1. Discrete random variables. Expectation and variance

4.6.3 S1. The binomial distribution. Expectation and variance, with typical question

4.7.4 S1. The normal distribution. Modelling discrete situations

4.5.2 S1. Permutations and combinations. Permutations and combinations

4.2.2 S1. Representing and interpreting data. Measuring central tendency and spread using quartiles

4.1.1 S1. Exploring data. Stem-and-leaf diagrams

4.6.2 S1. The binomial distribution. The binomial distribution

4.2.4 S1. Representing and interpreting data. Box and whisker plot

4.3.2 S1. Probability. Mutually exclusive and non-mutually exclusive events

4.3.1 S1. Probability. Measuring and estimating probability

4.7.3 S1. The normal distribution. The normal distribution

4.1.2 S1. Exploring data. Measures of central tendency

4.5.4.1 S1. Permutations and combinations. Solving model exam question (1)

4.7.1 S1. The normal distribution. Basic concepts of normal distribution

4.2.1 S1. Representing and interpreting data. Histograms

1.8.4 P1.Vectors. Vector calculations