Normal Distribution and High Jumping Heights: Probability and Standard Deviation

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The discussion focuses on a high jumper's ability to clear specific heights, modeled by a Normal Distribution. The jumper can clear at least 1.78m with a probability of 0.2 and 1.65m with a probability of 0.7. Participants discuss how to find the z-values corresponding to these probabilities using a standard normal distribution table. The conversation emphasizes using the z-score formula to derive the mean and standard deviation of the jumper's heights. The goal is to accurately represent this data graphically and calculate the probability of clearing at least 1.74m.
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Homework Statement


From expirence a higher jumper knows he can claer a height of at least 1.78m once in 5 attempts. He also knows that he can clear a height of at least 1.65m on 7 out of 10 attempts

Assuming that the heights the high jumper can reach follow a Normal Distribution,

a) Draw a sketch to illustrate the information above

b) find, to 3 decimal places, the mean and the standard deviation of the heights the higher-jumper can reach

c) Calculate the probability that he can jump atleast 1.74m



Homework Equations



You'll need the distribution table

The Attempt at a Solution


Part a)

Well I can form the equations

P(h >= 1.78) =0.2
P(h >= 1.65) = 0.7

so what we're saying is the probability the height will be atleast 1.78m is 0.2
and
so what we're saying is the probability the height will be atleast 1.65m is 0.7

okay

so how do i go about drawing these on a normal distrubution. I think I have to do the flip around thing but I am not sure why?

Thanks :)
 
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First thing you need to do is find the z values from a table of the standard normal distribution corresponding to P(z)= 0.2 and P(z)= 0.7. I'll call those z0.2 and z0.7.
Here's a good table: http://www.itl.nist.gov/div898/handbook/eda/section3/eda3671.htm

The formula for changing from a normal distribution with mean \mu and standard deviation \sigma is z= (x-\mu)/\sqrt{\sigma}. Solve z_{0.2}= (1.64- \mu)/\sqrt{\sigma} and z_{0.7}= (1.78- \mu)/\sqrt{z} for \mu and \sigma.

Use that information to draw the appropriate "bell shaped curve" with correct mean and standard deviation and to find P(h\ge 1.74).
 
Ahh yes, I know about the standardising using the formula, ill need that for part B

so P(z) = 0.2

z = 0.07926

P(z) = 0.7
z = 1 - phi(0.7)
= 1 - 0.11791
= 0.8209

Is that right?

Thanks :)
 
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