
- Description
QNT 275 Week 2 participation The Z-score
Select a specific year from the Wisconsin Water Table, and find the Z-score for the associated data point (water discharge)
Year Peak Discharge
1957 1,120
1958 2,380
1959 886
1960 1,420
1961 1,480
1962 1,200
1963 657
1964 1,280
1965 1,640
1966 1,280
1967 1,740
1968 1,380
(source: U.S. Department of the Interior, Geological Survey, Water Resources Divisions, Estimating Magnitude and Frequency of Floods in Wisconsin, 1971. p. 77. I19.2:W75)
The Z-Score
Team
It is not until we augment the Standard Deviation with a Z-score the standard deviation makes sense, such as the case with the Wisconsin Water Table. A Z-Score is a statistical formula that tells us where a specific data point falls on the bell curve in relationship to the mean/mode/median of the bell curve which is the exact middle of the curve. The Z-score tells us how many standard deviations a specific data point falls above OR below the middle of the curve (+ or –
Let’s look at the Wisconsin Water Table to explain this process:
In order to get the Z-score for the year 1960. All you need to do is find the Standard deviation and the mean for the Wisconsin Water table (which we have just done in Week 1).
Xbar or μ = 1,371.91
s or σ = 436
Your observation is X which for 1960 is 1,420. Insert in the following formula:
z= X – μ
σ
.11 = 1,420 – 1,371.91
436
The Z-score falls .11 standard deviations ABOVE the mean. Look how close the amount of water discharge was for 1960 as compared to the mean of the water discharge (1,371.91). It is so close it practically kisses the mean.
This Z-score tells us that the water output for the year 1960 was just slightly greater (not by much) than the average discharge of all the years combined. Does this make sense?