Find the median, first quartile (Q1) and the third quartile (Q3) for the data shown, which is already sorted. The number of data is n= 11. Katye Kozak's algorithm: Sort the data and compute the median. When n is an odd number, the median is the center value. When n is an even number, the median is the center value. After computing the median, Q1 is the median of the 1st half of the data, not including the median value. Q3 is the median of the 2nd half of the data, not including the median value. Do not round your answers. x2.66.88.51515.821.221.721.922.128.829.8MedianMedian= Q1Q1= Q3Q3=
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
Find the
Katye Kozak's algorithm:
Sort the data and compute the median.
When n is an odd number, the median is the center value.
When n is an even number, the median is the center value.
After computing the median, Q1 is the median of the 1st half of the data, not including the median value.
Q3 is the median of the 2nd half of the data, not including the median value.
Do not round your answers.
x
2.6
6.8
8.5
15
15.8
21.2
21.7
21.9
22.1
28.8
29.8
M
e
d
i
a
n
Median
=
Q
1
Q1
=
Q
3
Q3
=
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