[Statistic] NCE or just usual z-score?

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Homework Help Overview

The discussion revolves around a statistics problem involving the normal distribution, specifically focusing on life spans of males and females in an ancient culture. The original poster presents several questions regarding the calculation of percentages and the use of z-scores in relation to the given data.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to determine the percentage of men who died before age 30 and the percentage of women who lived to at least age 50, while questioning the appropriate percentile rank to use for the latter. They also explore the relationship between z-scores for male and female life spans.

Discussion Status

Participants are engaging with the original poster's questions, providing insights into the calculations needed for the percentages and discussing the implications of continuous distributions on the interpretation of probabilities. There is an exploration of different approaches to determining the correct percentile rank for the female life span question.

Contextual Notes

Participants note the confusion surrounding the definition of percentile rank in the context of "at least" versus "exactly" and the implications of using continuous distributions in probability calculations.

master cherundo
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Homework Statement


In an ancient culture, the average male life span was 37.6 years, with a standard deviation of 4.8 years The average female life span was 41.2 years, with a standard deviation of 7.7 years. use the properties of the normal distribution to find the following:
a. What percentage of men died before age 30?
b. What percentage of women lived to an age of at least 50?
c. At what age is a female death at the same relative position in the distribution as a male death at age 35?

Homework Equations


X'=s'z+\overline{X}
using Standard Normal Distribution table to find percentile rank

The Attempt at a Solution


Problem a a is clear for me, but I have a little doubt in b, because
I am confused about choosing between PR_{49.9} or PR_{50}? Percentile rank is defined as at or below. So, if it is said at least, I have to choose lower number, but what is it? Is it 49.9; 49.99; 49.999; or... So that's why I think PR_{50} is the best "hyprotika.wordpress.com"[/URL]

Problem c is just using z-score right? So I don't have to apply Normal Curve Equivalent here? Finding z-score for male rate, then using mean and standard deviaton for female rate, then that's the answer. Is it right?

Thanks for the answer. [PLAIN]"hyprotika.wordpress.com"[/URL]
 
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If you want the percentage of women who lived to at least 50 you want to calculate

<br /> \Pr(X \ge 50)<br />

For the second question (I think this is what you are saying) if you can determine how many standard deviations 35 is from the mean lifetime for men, you need to find the age for women that is the same number of standard deviations from their mean.
 
Since the normal distribution is a continuous distribution, not just integer valued, the probability a woman will live to be "exactly" 50 is 0 (the integral of the probility density "from 50 to 50" is 0). The probability a woman will live to be "greater than or equal to 50" and "greater than 50" are the same.
 
So, it is 100%-PR(50), right?
Gosh, I do it with PR (49.9)
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--EDITED--
Double post, sorry. "hyprotika.wordpress.com"[/URL]
 
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