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    I really suck i can get A in C1 and A in C2 but S1 i suck so badly its beyond belief time to practise some mixed ex now . Good luck people
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    (Original post by Son234)
    I will upload it in 1-2 hrs but i
    don't have the Mark scheme unfortunately


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    Already beat you to it lol ...
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    (Original post by Tha Realest)
    Already beat you to it lol ...
    You saved me the hassle and I needed the Mark scheme!


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    (Original post by Son234)
    You saved me the hassle and I needed the Mark scheme!


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    Haha ok cool ... That's good I provided the link in that case lol

    Enjoy :cool:
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    (Original post by Tha Realest)
    Haha ok cool ... That's good I provided the link in that case lol

    Enjoy :cool:
    enjoy really? Lol


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    (Original post by Son234)
    enjoy really? Lol


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    Everyone to their own satisfaction haha
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    I have a graphics calculator too (the casio FX-9750GII) what things can it be very useful for in exams and can you show me how to do it please, thanks
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    (Original post by Tha Realest)
    Everyone to their own satisfaction haha
    Lol you using a graphical calculator or standard?

    Tbh I don't think calculators make any difference

    The standard ones you can calculate everything r, a, b mean etc

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    (Original post by Son234)
    Lol you using a graphical calculator or standard?

    Tbh I don't think calculators make any difference

    The standard ones you can calculate everything r, a, b mean etc

    This was posted from The Student Room's iPhone/iPad App
    I am using a Casio FX-83GT Plus calculator ...

    How about yourself ?
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    if you use a calculator to give the answer of the probability in a normal distributions, would just putting the answer down give you FULL MARKS? I don't think it would but just double checking
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    (Original post by Welbeck)
    if you use a calculator to give the answer of the probability in a normal distributions, would just putting the answer down give you FULL MARKS? I don't think it would but just double checking
    I think in most cases it is fine to just put the answer for full marks, but it has to be correct and to a sufficient amount of significant figures otherwise you'll get no marks, no matter how close you were.

    I have the same calculator as you, the FX-9750GII. I use it for binomial and normal distribution, calculating the PMCC and least squares regression line, and even for simple stuff like the median and IQR. It can all be done on it relatively easily, but if you make one silly mistake you'll lose all the marks.

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    (Original post by andyt8765)
    I think in most cases it is fine to just put the answer for full marks, but it has to be correct and to a sufficient amount of significant figures otherwise you'll get no marks, no matter how close you were.

    I have the same calculator as you, the FX-9750GII. I use it for binomial and normal distribution, calculating the PMCC and least squares regression line, and even for simple stuff like the median and IQR. It can all be done on it relatively easily, but if you make one silly mistake you'll lose all the marks.

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    How do you know the sufficient amount of s.f.
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    (Original post by Welbeck)
    How do you know the sufficient amount of s.f.
    In some cases the question will state "to three significant figures" or whatever, but if it doesn't say, I'd go for around 4.

    They can't penalise you for having too many, so always do at least 3 or 4.

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    Can someone please explain to me what does " Residual for the point" mean and how to calculate it thanks
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    (Original post by Tha Realest)
    Can someone please explain to me what does " Residual for the point" mean and how to calculate it thanks
    The residual for a point is how far it is from the least squares regression line (line of best fit).

    To calculate it, you need to have already calculated the least squares regression line.

    The formula for residuals: (actual y value) - (predicted y value).

    So if you have a line of (y = 30 - 0.75x) and you're calculating the residual for (y = 20, x = 5) you'd do : (20 - ( 30 - 0.75 * 5)).

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    (Original post by Tha Realest)
    Can someone please explain to me what does " Residual for the point" mean and how to calculate it thanks
    It is the difference from the actual value, to the value given from the line of least squares regression where both points are the same.
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    (Original post by andyt8765)
    The residual for a point is how far it is from the least squares regression line (line of best fit).

    To calculate it, you need to have already calculated the least squares regression line.

    The formula for residuals: (actual y value) - (predicted y value).

    So if you have a line of (y = 30 - 0.75x) and you're calculating the residual for (y = 20, x = 5) you'd do : (20 - ( 30 - 0.75 * 5)).

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    Great simple explanation ~ Thanks
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    (Original post by Welbeck)
    It is the difference from the actual value, to the value given from the line of least squares regression where both points are the same.
    Thanks
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    Roger is an active retired lecturer. Each day after breakfast, he decides whether the
    weather for that day is going to be fine (F), dull (D) or wet (W). He then decides on
    only one of four activities for the day: cycling (C), gardening (G), shopping (S) or
    relaxing (R). His decisions from day to day may be assumed to be independent.
    The table shows Roger’s probabilities for each combination of weather and activity.
    Weather
    Fine (F) Dull (D) Wet (W)
    Activity
    Cycling (C) 0.30 0.10 0
    Gardening (G) 0.25 0.05 0
    Shopping (S) 0 0.10 0.05
    Relaxing (R) 0 0.05 0.10

    (iii) to go cycling, given that he had decided that it was going to be fine;
    (iv) not to relax, given that he had decided that it was going to be dull;
    (v) that it was going to be fine, given that he did not go cycling. (9 marks)
    (b) Calculate the probability that, on a particular Saturday and Sunday, Roger decided
    that it was going to be fine and decided on the same activity for both days.
    (3 marks)

    HELPPPPPP PLEASE
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    I have a question about quartiles of non grouped data - I know that when you're finding the median and get a whole number you take the average of the value value and the value above, but what about for quartiles? If you get something like 7.5 for Q1 do you take the 8th value or the average of the 7th and 8th values? What about 22.5 for Q3? Or Even 22.75?
 
 
 
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