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A simply wonderful explanation, both of the use of the t-substitution in general, and the Weierstrauss substitution in integration. I'm doing further maths through the NEC, but the explanation is pretty light there!
The way you explained things so thoroughly and presented every example materials that we may come across during our time working with Spearman's Rank Correlation Coefficient, is what I liked the most about this video. Thank you for educating us so neatly!
Awesome, intuitive explanation man! Would it be correct if I convert to unit to month instead of year? I take 22/12 = 1.8(3) as the random variable X and normalize it as: 1.8(3) - 2 / sqrt(2). The Z score I got is -sqrt(2)/3, and my final answer is 0.68132, which is also quite close to the actual answer!
Fantastic video but I'm a little confused? Given that these are dependant events, why are we allowed to multiply the probabilities? I thought this was only applicable to independent events? Where have I gone wrong wrong? Many thanks
Its funny how I can do the hard questions now that gcses have finished but if I was doing them during gcse time I couldn't even start the question cuz all I would think about is the exam stress.😌
Thanks. But there's no need to multiply all the numbers individually; you can take the value of a whole circle, e.g, 56, and multiply it by the remaining numbers outside that circle, i.e, 56x27 = 1512 (it's much quicker). Or you could do 63x24. Or 108x14=1512
