Statistics S1 post your doubts here

Abdul Basit Arif

Abdul Basit Arif

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Crimson-Saint said:
ughh....cant believe im asking this now....but what are outliers? how do we calclulate
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Outliers are the values in a given data which too high or low and are outside the upper or lower fence of the data
Upper fence: Q3+1.5× (Q3-Q1)
Lower Fence: Q1-1.5×(Q3-Q1)
And values above the upper fence and below the lower fence are considered as outliers.
 
H

Hanona

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Ohhhh yes!!! I got itnow! Thank you soo much! :) but I have a last question how do wefind the midvalue or this range? <40. ,<50,
ZaqZainab said:
The probability of placing each one of the coloured tile (Let's take an example of black) is 1/3.. right? The second tile must not be black, therefore: P(Not black) = 1 - 1/3 = 2/3.
The first tile could be any one of the three tiles, so the probability is 1 (Just for the first tile). The next seven tiles have the probability of 2/3.

Hence, the total probability becomes.. 1 * (2/3)^7 => 0.0585
Click to expand...
ZaqZainab said:
The probability of placing each one of the coloured tile (Let's take an example of black) is 1/3.. right? The second tile must not be black, therefore: P(Not black) = 1 - 1/3 = 2/3.
The first tile could be any one of the three tiles, so the probability is 1 (Just for the first tile). The next seven tiles have the probability of 2/3.

Hence, the total probability becomes.. 1 * (2/3)^7 => 0.0585
Click to expand...
 
ZaqZainab

ZaqZainab

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Hanona said:
Ohhhh yes!!! I got itnow! Thank you soo much! :) but I have a last question how do wefind the midvalue or this range? <40. ,<50,
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I hate this part of statics
19.5 and 44.5
if there is a x is less than sigh
like here it means 40 is NOT included and so we use a number less than it
here 39/2 and 49+40/2
 
hassaan10293

hassaan10293

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Igcse stuff said:
Thanks a lot guys....by the way what do to make a probability distribution table?
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A list of all the possible values of the discrete random variable X, together with their associated probabilities, is called a Probability Distribution.
The sum of the probabilities of all possible values of discrete random variable X is 1

i.e. EP(X=x)=1 or Ep=1

p is the hand for P(X=x)

I used E instead of "sum of"
 
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