tough question stats Help !
Also could you please throw some light on what exactly the y-axis represent ?
If i am correct, the x-axis is binned in groups of 5 : 0-5 5-10 10-15 ...
The y-axis represents the fraction of the numbers with a certain value, e.g. the largestbar has the y-value 0.4, so 40% of the values are between 5 and 10
oh just a sec please let me make sense of that
so, if i add all them up, il get 100% is it ?
Right!
Woah ! I see, awesome !!
could u help me wid options also... i have eliminated option C, as the distribution is unimodal
after that i got stuck :x
OK, we could try to make sense of the bars. To make things easier, we take the middle of each bar to be the number that it counts. So: say you've got a vase with 100 balls. The balls have numbers on them: 2.5, 7.5, 12.5 and so on. 40 balls have the number 7.5, so that is why the relative frequency is 0.4. 10 balls have the number 2.5, giving a rel. freq. of 10%. Now what can we calculate? 1. The mean - it is (2.5*10 + 7.5*40 + 12.5*......)/100 2. The modus (modal value?), this is the most frequent value (7.5) 3. The median, that is the number in the middle, so the 50th number 4. The 1st and 3rd quartile (25th and 75th number. Once you've got these numbers, you can easily see which of the other options are true or false...
how do i find median ?
it can be 7.5 or 12.5 right ?
12.5
I used these numbers: (BTW, can you use a TI84 calculator?) x f 2.5 10 7.5 40 12.5 20 17.5 15 22.5 5 27.5 5 32.5 3 37.5 1 42.5 1 Frequencies add up to 100 nicely. With my TI84 (in L1 the x-values and in L2 the frequencies) I get: mean 12.65 median 10 Q1 7.5 Q3 17.5
meadian cant be 10 u have interval 10_15 of 0.2 so take the mean of the interval
uhmm the value of 50th element falls in second bin. so i thought median = 7.5 ?
Median is the middle number. When there are 100 numbers, the middle one doesn't exist. In that case it is the mean of the 50th and 51th number. These would be 7.5 and 12.5 here, so that explains the median of 10.
ahh mean = average of 50 and 51 elements = (7.5 + 12.5)/2 = 10 !!!
Sweet xD
i dint thought of that :o
im trying to figure out how u got Q1 and Q3.. .
Yes! Although we don't know how many numbers we have here, the principle is the same: if we have 1000 numbers, we have to take the mean of the 500th and 501th number, which would give the same outcome.
yess i totally get it XD
I hope you can answer the question now!
Q1 = 7.5, cuz the 24, 25 elements fall in second bin !!!
+1
Q3 = 17.5 for the same reason
+1 again
IQR = 17.5 - 7.5 = 10 so striked off a, b, c options
mean = 12.65 median = 10 so strike off d also xD
guess i dont need to calculate outliers to tick the last option; from the graph itself it is evident that all values are trapped between 0 and 45 !! thanks a lot everything makes complete sense now !! appreciate your help very much!!! (:
YW! Just to be sure:you agree answer 1 is true?
yess IQR = 17.5 - 7.5 = 10 ty !
i think i need to review more of it :|
@ikram002p: these stats questions are always tricky!
yes i think i made a mistake in my previous reply, looks i need to calculate outliers lol :o
to eliminate that option..
but i can manage that... thanks everyone :))
i never been good at this im only good at qsb program
There is not much to calculate: an outlier is a value that lies at an abnormal distance from the other ones. Because all values in the distribution are in adjacent bars, you can be sure there are no outliers.
@mathx: if you know your maths, there is enough employment for high school math teachers over here :) Where do you live now?
yeah i thought the same, but that makes both option a and e true... so i suspect there must be an outlier or something..
@rational: if I read the question, I think more than one option can be true..
ohh yes you're right lol
wat about this one ?
Is it A ?
There are only a few very expensive houses in the city, because of the one expensive suburb.
This would mean most houses are below $650k...
yess that makes most of the house prices around $650
oh
Because the very expensive houses make the mean higher. Therefore, the other houses have a lower price.
Of course, because we don't know how many houses are cheap and how many are expensive, you could also argue that the few expensive houses have only very little impact on the mean of all the prices. In that case, there would be about as many houses above and below 650k. So we have not enough data. The question said: what dio you think is most likely true. IMO, most likely the expensive houses in the suburb increase the mean, so most other houses will be below 650k...
makes perfect sense ty :) you saved me.. i was about to submit a wrong answer lol xD
is it online exam ?
@mathx: I hope you enjoy your study! Sometimes it will be hard, but if you just go on, you will succeed!
online quiz
hmm can u gimme the link ?
if its available
you need to join the course, it started two weeks back
:| my bad luck
ok good luck ^^
u can still join if u want to, I am oly doing the first quiz..
for first quiz, the deadline is still there till March3.. so u can catchup easily
oh ic , i guess ill join it need to improve in statistics
im enjoying the course... my stats concepts have been rusty for a long time... and im getting confidence that i can finish the course smoothly with the kindof help im getting from OS :)
my concepts rusty too, i only had 2 course in statics + i focuesd on analysis programs so i need to review , i guess ill join the course ^^ good luck :)
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