Normal Distribution and High Jumping Heights: Probability and Standard Deviation

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SUMMARY

The discussion focuses on calculating the mean and standard deviation of a high jumper's performance, which follows a Normal Distribution. The jumper can clear at least 1.78m with a probability of 0.2 and at least 1.65m with a probability of 0.7. To find the mean (μ) and standard deviation (σ), participants are advised to use z-scores corresponding to these probabilities and apply the formula z = (x - μ) / σ. The discussion also emphasizes the importance of using a standard normal distribution table for accurate calculations.

PREREQUISITES
  • Understanding of Normal Distribution and its properties
  • Familiarity with z-scores and standard normal distribution tables
  • Knowledge of probability concepts related to height measurements
  • Ability to manipulate equations involving mean (μ) and standard deviation (σ)
NEXT STEPS
  • Learn how to use the standard normal distribution table effectively
  • Study the derivation and application of the z-score formula in various contexts
  • Explore advanced probability concepts, including cumulative distribution functions
  • Investigate real-world applications of Normal Distribution in sports performance analysis
USEFUL FOR

Mathematicians, statisticians, sports analysts, and students studying probability and statistics, particularly in relation to performance metrics in athletics.

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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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