So if we have to show a probability is 0.3 for example, then we wouldn't include this in the hypotheses and we would just say 'binomial distribution is a suitable fit' but if we were explicitly told 'the teacher thinks the distribution can be modelled by B(20,0.05) for example then we would write B(20,0.05) in the hypotheses, is that right?Thanks
Does anyone have any ideas for part c? Much appreciated
Clearly you need to work out the value of 2α+3 but earlier on in the question you were asked to find kXˉ being an unbiased estimator of α. What is Xˉ for this sample? What is the unbiased estimator of α, hence, what is 2α+3?
Clearly you need to work out the value of 2α+3 but earlier on in the question you were asked to find kXˉ being an unbiased estimator of α. What is Xˉ for this sample? What is the unbiased estimator of α, hence, what is 2α+3?
Q3 part d june 13 R, can someone explain the explanation?
in part b you found that there is apositive correlation between the population and the number of council employees, therefore if the RANK of population increase, the RANK of employees increase. But in part c, you found that there is not any LINEAR correlation between them, which mean the increase in population does not necessary result in increase in number employees
Q3 part d june 13 R, can someone explain the explanation?
From S1, you should know that pmcc tests linear correlation, whereas spearmans tests just correlation, i.e could be quadratically correlated or w/e. So if pmcc fails but spearman works, it means there's a non-linear correlation.
Edexcel website. Go on it, qualifications -> international a-levels -> mathematics -> etc...
From S1, you should know that pmcc tests linear correlation, whereas spearmans tests just correlation, i.e could be quadratically correlated or w/e. So if pmcc fails but spearman works, it means there's a non-linear correlation.
Yep. IAL, though.
how do you know which one works and which one fails tho?
Edexcel website. Go on it, qualifications -> international a-levels -> mathematics -> etc...
From S1, you should know that pmcc tests linear correlation, whereas spearmans tests just correlation, i.e could be quadratically correlated or w/e. So if pmcc fails but spearman works, it means there's a non-linear correlation.
This was in the mark scheme of a chi squared test. Can someone why there is no followthrough?? It makes ZERO sense! Like what if I did a calculation mistake? What does my calculation mistake have to do with my ability to deduce/write a conclusion to a test? WHAT THE HELL IS WRONG WITH EXAM BOARDS??? Like this isn't the first time where they punish you fifteen million marks for small mistakes or mistakes that are unrelated.
Clearly you need to work out the value of 2α+3 but earlier on in the question you were asked to find kXˉ being an unbiased estimator of α. What is Xˉ for this sample? What is the unbiased estimator of α, hence, what is 2α+3?
Previous two parts. The first part showed you that spearman > 0 from the hypothesis test and the other one showed pmcc = 0 in the hypothesis test.
So spearman correlation but not pmcc correlation.
cheers, q4d on the june 13r paper, what is this? it aint contingency **** so what is it? just seeing if it fits something? i got it right but i just guessed it the whole way lol
This was in the mark scheme of a chi squared test. Can someone why there is no followthrough?? It makes ZERO sense! Like what if I did a calculation mistake? What does my calculation mistake have to do with my ability to deduce/write a conclusion to a test? WHAT THE HELL IS WRONG WITH EXAM BOARDS??? Like this isn't the first time where they punish you fifteen million marks for small mistakes or mistakes that are unrelated.