Faculty of Mathematics & Numeracy
Further information on the LGS Mathematics Department can be found on our departmental website and X accounts:
LGS Maths Website: https://sites.google.com/sl.glow.scot/lgsmaths/
LGS Maths X Account: https://x.com/lgs_maths
The general aim of the Statistics Award unit is for learners to develop knowledge, skills and understanding in statistical methods and techniques that can be applied to a variety of real-life contexts which may be new.
This includes skills in interpreting and analysing graphs and statistical diagrams, applying skills to the normal distribution and determining the equation of linear regression and using it for prediction.
Most of the Statistics Award will be completed on RStudio statistical software, which is used in real life data analysis to import, access, transform, explore, plot, and model data, and for machine learning to make predictions on data.
RStudio is widely used at University level to complete a range of questions linked to Statistical Analysis, and knowledge of RStudio at this stage will be beneficial to any University or College course incorporating Statistics.
At Lanark Grammar School, the Statistics Award is available to learners in S5/6 as an elective course.
Note: The majority of this course will be computer based and prior experience in working with computer software is desirable.
Course Content
The Statistics Award is covered in three parts:
Part 1 - Graphical Displays & Summaries
The following areas will be covered:
Types of Data
Populations & Sampling
Errors & Biases
Outliers
Frequency & Contigency Tables on RStudio
Barplots on RStudio
Pie Charts on RStudio
Stem & Leaf Diagrams on RStudio
Boxplots on RStudio
Histograms & Normality Testing
Descriptive Statistics
Part 2 - Correlation & Linear Regression
The following areas will be covered:
Dependent & Independent Variables
Scatterplots on RStudio
Correlation & Outliers
Correlation vs. Causation
Linear Regression Analysis
Coefficient of Determination
Part 3 - Hypothesis Testing
The following areas will be covered:
Null & Alternative Hypotheses
Significance & p-values
Confidence Intervals
Two-Sample (Unpaired) t-tests
Paired t-tests
z-tests for Two Proportions
Errors in Hypothesis Testing
Assessment
The Statistics Award is assessed in two outcomes:
Outcome 1 (Written Paper)
Using statistical skills in real-life contexts by:
Applying statistical literacy skills to data
Applying statistical skills to normally distributed data
Applying statistical skills to correlation and linear regression
Applying statistical skills to data analysis, interpretation and communication
Outcome 2 (R Studio Paper)
Producing a statistical analysis on given data set(s) by:
Undertaking a correlation and regression analysis
Undertaking a data analysis
There is no external exam for the Statistics Award.
To obtain a pass, learners must pass both mandatory course outcomes.
The course itself is set at SCQF Level 6 (Higher) and learners will gain SCQF tariff points at Level 6 for use on their UCAS applications.
The Statistics Award would be best suited to learners who have completed National 5 Applications of Mathematics or National 5 Mathematics in S4.
Experience in working with Excel in Admin, Business or Computing is desirable as well as a basic knowledge of Science based courses.
Learners who wish to study further Mathematics, Business or Admin degree should consider the Statistics Award as an additional qualification to support their knowledge and understanding of data analysis.
Within the Statistics Award, the following topics will be assessed per outcome:
Outcome 1
Understanding:
— Types of Data
— Random Sampling
— Outliers
Interpreting Diagrams including Stem and Leaf, Frequency Tables, Pie Charts, Bar Charts, Boxplots and Contingency Tables
Interpreting Histogram to indicate the distribution of data
Sampling measures of location and spread including the Mean, Median, Standard Deviation and IQR
Constructing Scatterplots
Performing Simple Linear Regressions
Intepreting Slope and Intercept Parameters
Using Linear Models for Predictions
Understanding Correlations and the Correlation Coefficient
Interpret and Reporting the results of a Hypothesis Test
Understanding and Interpreting Confidence Intervals
Performing simple analysis using t-tests, paired t-tests and z-tests
Understand Statistical Errors
Outcome 2 (using RStudio)
Accessing a given data set and using a software package to assess and model Linear Relationships using Simple Correlation and Regression Modelling
Accessing a given data set and using a software package to test a hypothesis, to determine the significance of the test results and communicate the findings from the Hypothesis Test
The Statistics Award Unit may provide progression to:
other qualifications in statistics or related areas
further study, employment and/or training
The Statistics Award has applications in a variety of subject areas as well as life and work.
The skills, knowledge and understanding developed in the Statistics Award could support both breadth and depth of learning in other curriculum areas such as business, science, social studies and health and wellbeing, in addition to life and work contexts.
Through the study of Statistics young people will develop skills in but not exclusive to the following areas:
Interpersonal
Develop and Maintain Relationships
Respect
Employability
Thinking Critically and Creatively
Solving Problems
Working with Others
Communicating
Innovation
Problem Solving
Critical Thinking
Communication
Giving and Receiving Information
Skills for Learning
Higher Order Thinking
Literacy and Numeracy
Digital Technology
Recognising Reliable Sources of Information
Communicating using ICT