Calculating the Correlation Between Bert and Ernie's Wave Ride Times

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In summary, Bert and Ernie's wave ride times are normally distributed with means of 15 seconds and 12 seconds respectively, and standard deviations of 3 seconds and 2 seconds. There is a positive correlation between their wave ride times, and Lady Moneypenny has noticed that Ernie's wave ride time exceeds Bert's 20% of the time. The correlation between their wave ride times can be determined using the equations for covariance and variance.
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sam_0017
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The Correlation.. !??

Homework Statement



Bert and Ernie are trying to impress Lady Moneypenny with their surfing skills. Bert’s wave ride times are normally distributed with a mean of 15 seconds and a standard deviation of three seconds. Ernie spends more time drinking rather than practising his surfing, so his wave ride times are normally distributed with a mean 12 seconds and a standard deviation of 2 seconds. Due to natural changes in surfing conditions, Bert and Ernie’s wave ride times are positively correlated. Lady Moneypenny notices that Ernie’s wave ride time exceeds Bert’s 20% of the time. Determine the correlation between Bert and Ernie’s wave ride times.

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i tray to solve it be using this teaneck and i don't know is it correct :

since there are normally distributed :
B~(15,32) R~(12,22 )

and we have P(B>R)= 20%

lat X= B-R , X~(μ ,λ)

μ=E [X] = E-E[R] = 15-12 = 3

and also:
λ= Var[X]= Var[B-R] = Var+Var[R]-2cov(B,R).
=9+4-2cov(B,R) =13-2cov(B,R). ... (*)

and from :
P(B,R)=[itex]\frac{Cov(B,R)}{\sqrt{Var(B). Var(R)}}[/itex]

so:
Cov(B,R) = 6P(B,R)
by souping in (*):
λ=13-12P(B,R)

So now we have :
X~N(μ,λ) = X~N(3,13-12P(B,R))

and from the question P(B>R)= 20% so P(B-R>0)=20%
so we can say P(B-R>0)=P(X>0) = 0.2



... And here i stooped !?
can anyone help with this Question ??
 
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Homework EquationsP(B,R)=\frac{Cov(B,R)}{\sqrt{Var(B). Var(R)}}The Attempt at a Solution see the Question
 

FAQ: Calculating the Correlation Between Bert and Ernie's Wave Ride Times

What is correlation and why is it important?

Correlation refers to the relationship between two variables. It measures the strength and direction of the relationship between the variables. In this case, we are looking at the correlation between Bert and Ernie's wave ride times, which can help us understand if there is a pattern or trend in their performances.

How is correlation calculated?

Correlation is typically calculated using a statistical measure called the Pearson correlation coefficient. This involves finding the covariance (measure of how two variables change together) and standard deviations of the two variables and plugging them into a formula. The resulting number will range from -1 to 1, with 0 indicating no correlation, 1 indicating a perfect positive correlation, and -1 indicating a perfect negative correlation.

What does a positive/negative correlation mean in this context?

A positive correlation between Bert and Ernie's wave ride times would mean that when one of them has a longer or shorter ride time, the other tends to have a longer or shorter ride time as well. This could indicate that they have a similar skill level or are influenced by similar factors in their performances. A negative correlation would mean that when one of them has a longer or shorter ride time, the other tends to have the opposite ride time. This could suggest that they have different skill levels or are influenced by different factors.

Can correlation be used to predict future performances?

Yes, correlation can be used to make predictions about future performances. If there is a strong positive correlation between Bert and Ernie's wave ride times, we can expect that their performances will continue to be similar in the future. However, it is important to note that correlation does not necessarily imply causation, so other variables and factors should also be considered when making predictions.

Are there any limitations to using correlation in this context?

Yes, there are limitations to using correlation in this context. Correlation only measures the relationship between two variables and cannot determine causation. Additionally, correlation can be affected by outliers or extreme values, so it is important to also look at the data and the context of the relationship between Bert and Ernie's wave ride times. Other statistical tests and analyses may also be necessary to fully understand the data.

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