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Sources of data – ACCA Management Accounting (MA)

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  3. Hello Sir
    First of all I would like to thank you for your selfless and generous efforts. Your notes and lectures are brief and to the point.

    Recently, I heard that ACCA has made some changes to the MA syllabus. So My question is up to when are these lectures valid,
    Can we use this lectures if we are planning to sit MA exam on 2022?

    • The only changes for the exams from September onwards are the clarification of two small bits of wording. They do not affect the notes are the lectures and they are valid for all exams up to June 2023.

      (This kind of question should be asked in the Ask the Tutor Forum rather than a comment on a lecture. I do not always see comments here, but I always answer questions in the Ask the Tutor Forum within 24 hours.)

    • The notes and lectures cover everything needed to pass the exam well. However it is vital that you buy a Revision Kit from one of the ACCA Approved examiners. They are full of exam standard questions for practice, and practice is essential to passing the exam.

    • Hi Zeupiter,

      Multi-stage sampling: All the samples are taken randomly – let’s say there are 20 counties in a country. Select 5 randomly. Then Select 5 cities randomly in those 5 counties, then select 3 streets randomly in each city, then select 5 houses on each street randomly, and ring the bell to survey people who live there.

      With Cluster, only the last stage is different: select every house on those streets and survey all of them (every single house on the street – the last step is not-random)

      I am preparing for MA, email me if you are looking for a study buddy. k.********@nu*******.ie

  10. Greetings sir,

    Why would we only consider random sampling to have a sampling frame (considering the entire population) ? Could you please elaborate on this concept ? Do you mean by it that we give every individual an equal chance to be selected, and therefore everyone is fitted within the frame of selection, and hence the “sampling frame”. And therefore other sampling methods’ population cannot be given the title of “sampling frame”. Please confirm or correct elaborately if possible.

    • Do you mean by it that we give every individual in the population an equal chance to be sampled, and therefore the population is called the sampling frame. Otherwise if it was just about the necessity of having knowledge of each item in the population, then the population of Stratified sampling for instance should also qualify being called as a “sampling frame”.

      • There is no need for a lecture – what is written in the free lecture notes is all that is needed for the exam (there is not much point in me just reading it out when you can read it yourself 🙂 ).

        If you are not clear about what is written then ask in the Ask the Tutor Forum and I will explain the bit that you are not clear about.

  12. Thanks a lot, Your act is very selfless, generous and kind. You are helping thousands of student who can’t afford the costly books published by theBPP/KAPLAN. You are the only hope of those people. You are the short cut for people who don’t want to go through the 600 pages of Kaplan or 400 pages of Bpp or stuck at somewhere.
    I appreciate your Such a selfless and kindful act.
    What I think about you Sir, is that, you are one of those sent directly by God.

    Once again thank you sir . you lectures are awesome.

  14. Hi.

    Thank you for the wonderful lectures.

    I may be being silly, but I’m a little confused by the difference between stratified sampling and quota sampling.

    The course notes explain that:

    Stratified:
    If the population was 60% women, 40% men, then 60% of the sample should be women and 40% men.

    Quota:
    Population is 60% women and 40% men. We want to question a sample of 200. Decide on a quota of 120 women (60%) and 80 men(40%), and stop people as they appear until we have the required number.

    The only difference I see is the way in which candidates are chosen (one by one until the quota is satisfied), however, in stratified sampling, it makes no reference to how the 60% and respective 40% are selected.

    Any help would be greatly appreciated.

    Best,

    Scott

    • I think – In Stratified sampling – The composition/categorisation Sampling should be equal to the composition/categorisation of whole population.

      e.g real populayion using the product is 60% women and 40 % men , then it doesn’t matter how much sample we take. its just whatever Qty of sample we take should have same composition ( like sample also should be 60 % women and 40% men )

      while quata in sampling – They just keep doing sampling till they get the quata fullfilled.

      Also, one thing to notice Quata is Not random at all , as we are not ramdomly selecting from the quota e.g we aren’t selecting 120 women randomly from 60 % of total women from a list – the original example )

      while in stratified sampling which is quasi random . because we select randomly from 60 percent of women.

    • Say you are a business owner and you have 100 offices and each office has 100 employees. You need a random sample of employees.

      Multi Stage: Select 5 offices at random and from each office you select 20 employees at random. So total So sample is 100 employees from 5 different offices.

      Cluster: Select 5 offices at random and then use every single employee from those offices as your sample.

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