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S1 help!

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THANK U SO MUCH! I need help in the same ppr Q 3 f) and g)

(f ) Find the values of (y bar) ± 1.96s.

(2)

(g) Comment on whether or not you think that the weights of these students could be modelled by a normal distribution.

(1)

clip_image003.gif


 
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THANK U SO MUCH! I need help in the same ppr Q 3 f) and g)

(f ) Find the values of (y bar) ± 1.96s.

(2)

(g) Comment on whether or not you think that the weights of these students could be modelled by a normal distribution.

(1)

clip_image003.gif
Sorry for the late reply! for find the mean of Y , and then add to it 1.96 multiplied by the standard deviation, then do the same thing but instead of adding, subtract 1.96*standard deviation :D
 
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for b part: find {{ 1 - P(B ∪ E) }} by [[ 1 - { P(B ∩ E') + P(B ∩ E) + P(B' ∩ E) } ]]
= [[ 1 - { (2/5) - x } + { x } + { (2/3) - x }​
= 1 - {(2/5) - x + x + (2/3) - x } <<Underlines expressions are cancelled out>>​
= 1 - (2/5) - (2/3) + x​
= 1 - (2/5) - (2/3) + (6/25) << x = (6/25)>> from part (a)​
= 0.173 (to 3 sig. fig.)​
for c part: to show statistically independent by using [[ P(E | B) = P(E) ]]
P(E | B) = (9/25) = 0.36​
P(E) = (2/5) = 0.40​
P(E | B) is not equal to P(E)​
So E and B are not statistically independent.​
 
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for b part: find {{ 1 - P(B ∪ E) }} by [[ 1 - { P(B ∩ E') + P(B ∩ E) + P(B' ∩ E) } ]]
= [[ 1 - { (2/5) - x } + { x } + { (2/3) - x }​
= 1 - {(2/5) - x + x + (2/3) - x } <<Underlines expressions are cancelled out>>​
= 1 - (2/5) - (2/3) + x​
= 1 - (2/5) - (2/3) + (6/25) << x = (6/25)>> from part (a)​
= 0.173 (to 3 sig. fig.)​
for c part: to show statistically independent by using [[ P(E | B) = P(E) ]]
P(E | B) = (9/25) = 0.36​
P(E) = (2/5) = 0.40​
P(E | B) is not equal to P(E)​
So E and B are not statistically independent.​
THANK YOU SOOOO MUCH! :D :D :D
 
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