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Batman
omg where can I find thisBased on that guy's answers
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omg where can I find thisBased on that guy's answers
dont look at it is a heartbreaking sightomg where can I find this
its on the math adv predictions/thoughts page but trust me it causes more harm than goodomg where can I find this
nah they wouldnt mark down for this since 1.58 rounds up to 1.60 you are in an acceptable range of errorext 1 ppl do u reckon they can mark us down for minor differences in z scores? like i marked myself down for one of the questions from smarter maths cuz i got a z score of 1.6 whereas the answer got a z score of 1.58
yea plus they used like a different formula to mine, though they should give you the same z score in the end. i used the sigma = sqrt(np(1-p)) and E(X) = np one, whereas they used the sample proportion thingmy immediate reaction was surely not right? they wont be that petty. but also if u round too early, isnt that also a problem? anywyas i think its a good idea to be strict when ur marking urself just in case bc its better than getting it wrong in the exam
thats good then. also would you recommend using the sample proportion formula or the normal formula for expected value and standard deviation when the question doesnt explicitly mention one specific thingnah they wouldnt mark down for this since 1.58 rounds up to 1.60 you are in an acceptable range of error
oh my god you were so right i should've minded my own businessits on the math adv predictions/thoughts page but trust me it causes more harm than good
whatchu getoh my god you were so right i should've minded my own business![]()
idk i didn't add it up. Honestly i don't even remember what i put down for some of my answers so I can't really put together a markwhatchu get
fairsidk i didn't add it up. Honestly i don't even remember what i put down for some of my answers so I can't really put together a mark
i thought these were for different types of data, iirc, use the normal formula whenever the data should follow a normal distribution like marks, height, weight, etc. (numerical data)thats good then. also would you recommend using the sample proportion formula or the normal formula for expected value and standard deviation when the question doesnt explicitly mention one specific thing
ig but i just discovered both of them give u the same result so i was wondering which one was the better formula to usei thought these were for different types of data, iirc, use the normal formula whenever the data should follow a normal distribution like marks, height, weight, etc. (numerical data)
im pretty sure u only use sample proportion for categorical data (success/fail) within a given population, then examine how far that strays from the expected value
then again i coulda totally forgotten but im pretty sure they are for different scenarios.
whenever ur given a population / number of trials that is like NOT huge you should use the sample population formula since things act more eratically at low samplesig but i just discovered both of them give u the same result so i was wondering which one was the better formula to use
alr bet thanks a lotwhenever ur given a population / number of trials that is like NOT huge you should use the sample population formula since things act more eratically at low samples
for example if i flip a coin 20 times, theres a very low chance it behaves as a normal distribution, however if i flip it 2,000,000 times then the normal curve will come about,
so in those cases where the normal curve isnt basically guaranteed, i.e youre given a population, number of trials that satisfy
np ≥ 10 and n(1−p) ≥ 10 <--- this is not a math rule this is just a rule of thumb, itll be very clear in the HSC what they want
then u can use sample
yea? thats why its a sample answer i thinkwhen the hsc papers give sample answers, r those full mark answers?
Pretty sure they just scratch a band 6 mark coz some of them aren’t that detailedwhen the hsc papers give sample answers, r those full mark answers?
