Specification points
SQA Advanced Higher Statistics C803 77
23 points in 3 topics, with SQA's codes and titles.
Grade boundaries·SQA command words
Codes and titles are read by a script from SQA's published specification and have not been checked by a person. What each point covers is in the specification itself: SQA’s specification.
1 Data analysis and modelling
- 1.1 Interpreting the exploratory data analysis (EDA) of univariate data
- 1.2 Working with theoretical and experimental probabilities
- 1.3 Calculating conditional probabilities
- 1.4 Modelling a discrete random variable
- 1.5 Using the laws of expectation and variance
- 1.6 Using discrete probability distributions
- 1.7 Using continuous probability distributions
- 1.8 Using the normal approximation to discrete probability distributions
2 Statistical inference
- 2.1 Identifying and using appropriate random sampling methods
- 2.2 Working with the distribution of sample means and sample proportions
- 2.3 Obtaining confidence intervals
- 2.4 Using control charts
- 2.5 Fitting a linear model to bivariate data
- 2.6 Assessing the linear association between two variables
- 2.7 Estimating with bivariate data
3 Hypothesis testing
- 3.1 One-sample tests for a population mean and proportion
- 3.2 Two-sample tests comparing population means and proportions
- 3.3 Identifying and performing an appropriate test for population median(s)
- 3.4 Identifying and performing an appropriate chi-squared test
- 3.5 Identifying and performing an appropriate hypothesis test on bivariate data