The weights in milligram of 1500 seeds of the long pine is represented by the following frequency distributed data in Table 4c; Weights (mg) 10-24 25-39 40-54 55-69 70-84 85-99 100-114 115-129 130-144 145-159 Seeds 40 60 100 352 452 148 220 48 64 16 Table 4c Use the aforementioned frequency distributed data to determine the following; a) All the Quartiles b) 5 th and 7th Decile c) 50th and 93rd Percentile
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.
The weights in milligram of 1500 seeds of the long pine is represented by the following frequency
distributed data in Table 4c;
Weights
(mg)
10-24 25-39 40-54 55-69 70-84 85-99 100-114 115-129 130-144 145-159
Seeds
40
60
100
352
452
148
220
48
64
16
Table 4c
Use the aforementioned frequency distributed data to determine the following;
a) All the Quartiles
b) 5
th and 7th Decile
c) 50th and 93rd Percentile
d) Five Point Summary
e) Draw Box Plot
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