MTH 413 Statistical Methods in Engineering

HND2 levelComputing & ICT9 topics

MTH 413 covers 9 topics. StudyPath paces them into daily study sessions that finish before your exam date, with practice questions and worked answers for each one.

Study MTH 413 on StudyPath

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Course outline

The topics this course covers, in teaching order.

Binomial distribution
Normal distribution
Normal curve probability and Z-scores
Poisson distribution
Quality control techniques
Acceptance sampling
t-test for equality of means
F-test for equality of variances
Chi-square test in statistical quality control

A sample from this course

One topic, as StudyPath teaches it.

Binomial distribution

The binomial distribution models the number of successes in a fixed number of independent Bernoulli trials, each with the same probability of success. Mastering its probability mass function, mean, variance, and common approximations (normal and Poisson) is essential for computing probabilities and designing experiments in engineering contexts.

What you get for MTH 413

Every topic above, split into sessions and dated against your exam.
Practice questions per session, with answers that explain themselves.
Offline reading — the whole course is a few hundred KB on your phone.
An AI tutor that answers questions using this course's own material.

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