#maffsguru

This is another video in the General Maths Linear Relations and Equations chapter looking at solving linear equations with one unknown. You may think you've been taught algebra before, but I don't think you'll have been taught it in quite this way! Kissing, bunk beds, prison guards ... it's a different way of seeing things and it will help you be the boss of linear equations. I start with the simple stuff and show you how you can unpack the easiest of linear equations with one unknown. Later videos show you how to do more complex things. There are a few worked examples and I show you how to use your CAS too.

This is the first video in a new series dealing with the work on Investigating associations between two variables. This is part of the Further Maths Units 3 and 4 course. This video looks at the difference between explanatory variables and response variables and which can be predicted from which. It's really important to ensure you get these two the correct way around as the rest of the course will depend on the information.

This is the final video in this series for Further Maths Units 3 and 4. It brings all the work together for TIme Series and shows how we can use the knowledge gained in previous videos to fit trend lines and then forecast. VCAA exam questions are used as examples alongside the Cambridge Further Maths text book.

This is the video everyone has been waiting for and requesting. Seasonal Indices is finally here and it's everything you need to know to help you understand what a seasonal index is, what you use them for and how to interpret them. Referencing the work to that already covered on smoothing we look at how we can reduce seasonality to enable us to find trends and fit trend lines. This video is longer than most, but packs a punch and has lots of worked examples. Another video will follow this one with lots of VCAA questions.

This is the third video in the series which deals with Time Series for the Further Maths Units 3 and 4 course. Building on the knowledge gained in the previous two videos, I now look at how to smooth data using moving medians. I look at 3-, 5- and 7 moving medians. A range of examples are used from the Cambridge textbooks and the video concludes with solutions to some of the more recent VCAA exam questions. Watching this video will see your exam scores rocket!

This is the second video in a series of 5 which looks at Time Series for the Further Maths Units 3 and 4 course. To be able to find trends in data it makes sense to smooth the random fluctuations. This can be done in a number of ways. The first I look at is through mean smoothing. I look at both odd numbers of data and even numbers of data items using examples for each. I conclude the video, like all others, by solving some VCAA questions which relate directly to this content area.

This video is the first which deals with time series for the Further Maths Units 3 and 4 course. An introduction to all the key terms is vital to be able to write a meaningful report relating to time series. Hence, I introduce cycles, seasonality, random fluctuations, outliers, structural changes, trends and much more. VCAA questions are also completed from past papers which relate directly to this theory. There are 5 videos in this series.

This is the final video in this series dealing with regression analysis for the Core Data component of the Further Maths Units 3 and 4 course. Building on the previous three videos it looks at one last example of how to perform a regression analysis when you've been provided some data. It looks at the style of report you can write and how you can use the CAS to help you. VCAA questions are completed at the end of the video which link to the theory already covered.