Range of the middle 75% of the data

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Discussion Overview

The discussion revolves around calculating the range of the middle 75% of a dataset, specifically using percentiles and z-scores in a statistical context. Participants explore methods to determine the appropriate z-values and their implications for the range calculation.

Discussion Character

  • Homework-related
  • Mathematical reasoning
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant presents a formula for finding the kth percentile and questions whether the sample size (n) can be a non-integer.
  • Another participant suggests calculating a z-statistic and using a standard normal curve table, prompting further calculations regarding standard deviation and percentages above and below the middle 75%.
  • A participant calculates a z-value of 0.67 and derives an x-value of 10.54, proposing this as the upper limit for the range of the middle 75%.
  • Another participant challenges the previous calculations, asking for clarification on the areas represented in a figure related to the z-scores.
  • One participant suggests that the middle 75% is between z-scores of 0.32 and -0.32, calculating a range from 8.41 to 9.78.
  • A later reply corrects the previous assertion about the distribution of percentages between z-scores, indicating that there is 12.5% between infinity and each z-score.
  • Another participant proposes that the middle 75% is between z-scores of 1.15 and -1.15, calculating a range from 6.61 to 11.6, resulting in a range of 4.99.
  • One participant expresses agreement with the last calculation, while another thanks the contributors for their help.

Areas of Agreement / Disagreement

Participants express differing views on the appropriate z-scores to use and the corresponding calculations for the range of the middle 75%. There is no consensus on the correct z-values or the final range calculation, as multiple competing approaches are presented.

Contextual Notes

Participants rely on z-tables and the properties of normal distributions, but there are unresolved aspects regarding the interpretation of percentages and the correct z-scores to apply in their calculations.

Nikki10
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Homework Statement





Homework Equations



TO find the kth percentile
=nk/100 (where k=kth percentile and n is the number of observations
Need n?

Given:
n(50)/100 = 9.3
n=18.6

Can n not be an integer?

Then I planned on plugging the n into the formula to solve
for the 75th percentile
n(75)/100 = range of the middle 75% of the data

Help

The Attempt at a Solution

 
Last edited:
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Welcome to Physics Forums.

You'll need to calculate a z-statistic and use a table for the Standard Normal curve (which should be in your statistics textbook.)

A few things you should calculate or think about first:

1. What is the standard deviation for the dosage?
2. What percentage lies above the middle 75%? What percentage lies below the middle 75%?
 
Thank you so much. I think I understand

I want the x value that cuts off the upper 75% of the curve
P(X>x) = 0.75

So I went to the z-table, and got a z value of 0.67 (using 0.251 inside the table, or should i use 0.248)

0.67 = x-9.1/2.14
x= .67(2.14) + 9.1
x= 10.54

therefore, the range of the middle 75% of the data is at most 10.54
 
Nikki10 said:
Thank you so much. I think I understand

I want the x value that cuts off the upper 75% of the curve
P(X>x) = 0.75

So I went to the z-table, and got a z value of 0.67 (using 0.251 inside the table, or should i use 0.248)
Not quite. Take a look at this figure:

cntrl1.gif

If the middle (green part) of the area were 75%, what would be the areas of the white and yellow parts? And what would be the areas of the white+green combined?

0.67 = x-9.1/2.14
x= .67(2.14) + 9.1
x= 10.54

therefore, the range of the middle 75% of the data is at most 10.54
This part would be correct once you get the correct z-value to use.
 
Wait I think I have it now

There will be 12.5% between the mean and each Z-score,so we look for .125. The closest Z is .32, so the middle 75% is between Z = 0.32 and Z = -32.

Therefore, 9.1 - (0.32)(2.14) to 9.1 + (.32)(2.14) = 8.41 through 9.78.
 
Nikki10 said:
Wait I think I have it now

There will be 12.5% between the mean and each Z-score,...
Uh, no. There's 12.5% between each z-score and infinity.
 
Right, There will be 12.5% between infinity and each Z-score. There is 37.5% between each z-score and the mean

Don't i still look look for .125 making the middle 75% between Z = 1.15 and Z = -1.15. (from z-table)

Therefore, 9.1 - (1.15)(2.14) to 9.1 + (1.15)(2.14) = 6.61 through 11.6 making the range of the middle 75% of the data at most 4.99
 
Last edited:
Yes, that looks good.
 
Thank you
 

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