The quantile or probit function, as you can see from the link (see "Computatuon"), is computed with inverse gaussian error function which I hope is downloadable for calculators like TI-89. Look here for instance.
The quantile or probit function, as you can see from the link (see "Computatuon"), is computed with inverse gaussian error function which I hope is downloadable for calculators like TI-89. Look here for instance.
2nd Vars (Distr)>"InvNorm" next you subtract 1-% and enter this into your Inverse Norm along with your Mean and standard deviation.
Ex: Find the third quartile Q3 which is the IQ score separating the top 25% from the others. With a Mean of 100 and a Standard Deviation of 15.
1-.25=.75 in Inv Norm (.75,100,15)=110 My answer is 110
Videos
How do I calculate the first quartile?
To determine the first quartile:
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Sort your data in ascending order.
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Determine the lower half of your data:
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Even number of points: split your set exactly in half and take the lower (left) half.
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Odd number of points: take all numbers to the left of the number exactly in the middle.
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Find the median of the lower half:
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Even number of data points: take the average of the two values in the middle.
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Odd number of data points: take the number right in the middle.
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You've found the lower quartile!
What is the first quartile?
The first quartile (a.k.a. the lower quartile) is a measurement of position in a data set. It is the value that marks one quarter (25%) of data points sorted in ascending order. That is, 25% of the data points are less than the first quartile, and 75% of data points are greater than the first quartile. In other words, the lower quartile is the 25th percentile. The lower quarter is most often denoted as Q1.
Where is the first quartile in a box plot?
The lower quartile is the bottom side of a vertical box plot and the left side of a horizontal box plot. The other (top/right) side corresponds to the upper (third) quartile. The line inside the box is the median (the second quartile).