DIT402 Mathematics and Statistics for IT (R/617/6693) Assignment Brief 2026

University	School of Business and Technology London (SBTL)
Subject	DIT402 Mathematics and Statistics for IT (R/617/6693)

Qualification

QUALIFI Level 4 Diploma in Information Technology

Unit Code and Title

unit DIT402: Mathematics and Statistics for IT

Unit Reference

R/617/6693

Assignment Aim

This unit aims to provide an opportunity to learn mathematics and statistics and equip learners with the mathematical skills to analyse and solve problems that will enable them to work within the field of IT. The unit covers number systems, logic, relations, functions, quadratic equations, quadratic functions, simultaneous equations, polynomial equations, exponential functions, logarithmic functions, coordinate geometry and matrices.

The unit provides an opportunity to learn statistics and equip learners with the descriptive and analytical methods for dealing with variability in observed data. It covers graphical presentation of data, descriptive statistics, index numbers, correlation and regression, time series, probability and statistical inference.

Learning Outcomes and Assessment Criteria

Learning Outcomes: To achieve this unit, the learner must be able to:	Assessment Criteria: Assessment of these outcomes demonstrates the learner can:
1 Understand the mathematics underpinning information technology.	1.1 Explain the nature of the roots of quadratic equations, the rules of exponents and logarithms and a function.
	1.2 Explain the relationship between a domain, range and function.
	1.3 Rewrite an exponential equation in logarithmic form and a logarithmic equation in exponential form.
	1.4 Compute maximum and minimum values of quadratic functions, composite functions, inverse functions, the area of a polygon, the equation of a straight line, locus, measures of central tendency and measures of dispersion and probability.
	1.5 Analyse the impact of quadratic inequalities, polynomial equations, exponential equations, logarithmic equations and simultaneous equations on hardware design.
2 Understand the statistics underpinning information technology.	2.1 Calculate summary measures correctly.
	2.2 Define and interpret probability models.
	2.3 Evaluate methods of estimation and hypothesis testing
	2.4 Analyse the concepts of statistical methodologies.

Indicative Content

Functions

Quadratic equations

Simultaneous equations

Indices and logarithms

Exponential and logarithmic equations

Coordinate geometry

Equation of straight line and locus

Measures of central tendency

Measures of dispersion

Permutations and combinations

Probability

Probability distribution

Descriptive and inferential statistics, variables, data types and collection, sampling

Frequency distribution and presentation of data

Measures of location

Measures of dispersion, skewness and coefficient of variation

Index

Time series

Probability

Discrete probability distribution

Normal distribution

Confidence intervals

Hypothesis testing

Testing the difference between two means, two proportion

Correlation and regression

Chi- squared tests and quality control

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Answer

DIT402 Mathematics and Statistics for IT (R/617/6693) Assignment Brief 2026

DIT402 Assignment Brief

Assignment Aim

Learning Outcomes and Assessment Criteria

Indicative Content