Models in the United States and England work very hard to keep their weight down. Many participate in weightloss programs, carefully monitor their diet, and exercise regularly. The weight of a model is approximately normal with mean 52 kg and standard deviation 1.2 kg. Suppose a model is randomly selected… 3 parts inside, pls explain? thanks!:)
1) what is the probability that the model weighs more than 53 kg? (round to 4 decimal places) 2)what is the probability that the model weighs between 50 and 54 kg? (round to 3 decimal places) 3) A value w such that 80% of all models weigh more than w is.. (round to 2 decimal places) Thanks:)
:) one minute
thank you! i forget the process and steps for how to come to the solutions! much appreciated:)
mean 52kg standard deviation 1.2kg can you draw the normal curve first ?
|dw:1452220640112:dw| ? not sure how to label :(
@ganeshie8 ? :)
that looks good, just label the mean at center
|dw:1452220899300:dw| like so?
Yes, now look at first problem
1) what is the probability that the model weighs more than 53 kg? (round to 4 decimal places)
do you know how to find the zscore ?
ohhh ok! and a bit confused about z score; how do i calculate that?
observation = 53 mean = 52 standard deviation = 1.2 \[\text{zscore} = \dfrac{\text{observation - mean}}{\text{standard deviation}} \]
ohh okay! so i calculate the z score? and i get zscore = 53-52/1.2 = 1/1.2 = 0.8333 and so the answer for 1 is the probability is 83.3333 percent?
Nope, zscore is not probability.
ooh okie, so what happens next?:)
For probability, you need to look up ztable for a zscore of 0.8333
do you have a ztable ?
oh okay! yes:) so i look up and it is closest to 0.8340 so the probability is 7 percent? is that correct?
how did u get 7 percent ?
my table says the area corresponding to the zscore of 0.833 is .7967
oh oops yes, i looked at the wrong area sorry about that!! :( okay! so then is it i go 1-0.7967?
My table gives the area to the left of 0.833 But we're looking for the right side area, so you subtract 0.7967 from 1 yeah :)
for part a, do we get the probability as 20.23 % ?
okie!! so 1-0.7967 = 0.2033 and that is the solution for part 1?
Looks good!
Oh well it looks like you have this @ganeshie8 :) so i guess you dont need my help?
@ganeshie8 connection's back!! how do you do part 2?
2)what is the probability that the model weighs between 50 and 54 kg? (round to 3 decimal places)
start by finding the corresponding zscores for the observations 50 and 54
okay! so i do this? observation 50 zscore = 50-52/1.2 = -2/1.2 = -1.666666667 observation 54 z score = 54-52/1.2 = 2/1.2 = 1.666666667 ?
Yes, look up the ztable and find the corresponding areas too
okay, so we get 0.1423 & 0.8577 ?
Both are wrong, try again
you may use wolfram to double check http://www.wolframalpha.com/input/?i=P%28Z%3C++%2850-52%29%2F1.2%29
oh! so 0.0446 & 0.9554?
oops sorry, 0.95221 & 0.0477904
are you looking at -1.7 ? that is too much rounding, please look at -1.67 maybe
`oops sorry, 0.95221 & 0.0477904` these look much better :)
and so when i subtract and round to three digits, do i get 0.905?
im getting 0.904 ?
wolfram also says it is 0.904 http://www.wolframalpha.com/input/?i=P%28%2850-52%29%2F1.2+%3C+Z+%3C+%2854-52%29%2F1.2%29
ooh okie!! thank you!! how do we do part 3 now? sorry, os keeps kicking me off:(
3) A value w such that 80% of all models weigh more than w is.. (round to 2 decimal places)
can you read part 3 and tell me what exactly we are after here ?
we are after something like this?|dw:1452224612323:dw|
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