Solving Forearm Length Stats Problem

In summary, the conversation is about a person seeking help for a test and asking for assistance in solving a problem related to the average height and forearm length of men. The percentage of men with a forearm length of 18 inches is approximately 38%, and the percentage of men with a height of 68 inches and a forearm length of 18 inches is approximately 60%. The correlation between height and forearm length is taken into consideration when solving the problem.
  • #1
pinksapphire168
2
0
Hi Everyone,

I am new to the forum and really need so help before I have a test tomorrow. I have been going over my book and working through the problems but I am stuck on this problem. Would someone please help me? thank you very much for your time

From a study
average height of men =68in sd=2.7inch
average forearm length=18in sd 1inch r=0.80

a) what percentage of men have forearms which are 18 inches long to the nearest inch? for this problem I figured out 38%

b) of the men who are 68inches tall, what percentage have forearms which are 18 inches long to the nearest inch?

I know that the nearest inch refers to 17.5 and 18.5 and the answer in the back of the book is 60% however, I do not know how they solve the problem to get 60%
 
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  • #2
Since I don't believe that "forearm length" and "height" are independent, I don't see any way to do this with knowing the correlation.
 
  • #3
I wonder whether "r=0.80" in the OP stands for corr.

For indep. normal distributions, since sd = 1 for the forearm length, the question is, what is the probability around the mean plus/minus half a sd? You can look it up from a standard normal table (e.g. http://www.math.unb.ca/~knight/utility/NormTbl0.htm ). I believe 38.3%.

For correlated distributions you need to think about multivariate normal.
 
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  • #4
found the answer

Thank you for the replies, I already found a way to solve the problem.

r stands for coefficient correlation
and the answer as I included is 60%
 

FAQ: Solving Forearm Length Stats Problem

What is the "Solving Forearm Length Stats Problem"?

The "Solving Forearm Length Stats Problem" is a scientific problem that involves using statistical methods to determine the average length of the forearm in a given population.

Why is it important to solve this problem?

Solving this problem can provide valuable information for medical professionals, anthropologists, and other researchers who study human anatomy and biology. It can also help identify any variations or abnormalities in forearm length within a population.

What are the steps involved in solving this problem?

The first step is to collect data on forearm length from a representative sample of individuals in the population. Then, statistical methods such as calculating the mean, median, and standard deviation can be used to analyze the data and determine the average forearm length. Finally, the results can be interpreted and compared to other populations or used for further research.

What challenges may arise when solving this problem?

One challenge may be obtaining accurate and reliable measurements of forearm length from a diverse group of individuals. Another challenge may be accounting for any confounding factors that could affect the results, such as age, gender, or ethnicity.

How can the results of this problem be applied in real life?

The results of this problem can be used in various fields, including healthcare, sports science, and ergonomics. For example, knowing the average forearm length can help in designing better-fitting medical equipment or sports equipment. It can also aid in understanding the relationship between forearm length and certain health conditions or physical abilities.

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