The mean is the sum divided by the number of numbers:
... mean = (20 +16 +18 + 14 +9 +20 +16)/7 = 113/7 = 16 1/7 = μ
The standard deviation can be computed several ways. My favorite is to compute the variance from the average of the squares. Again, that average is their sum divided by their number.
... average square = (400 +256 +324 +196 +81 +400 +256)/7 = 1913/7 = 273 2/7
Then the variance is the difference between the average square and the square of the average
.. variance = 273 2/7 - (16 1/7)² = 273 14/49 - 260 29/49 = 12 34/49
The standard deviation of the sample (s) is the square root of the variance: √(12 34/49) ≈ 3.563
Your numbers are
... μ ≈ 16.1, s ≈ 3.6
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The standard deviation here is that of this data set. If this data is a sample of a population, we often want the population standard deviation instead. To get that, multiply this value by √(n/n-1), where n is the sample size. Here, that is √(7/6) ≈ 1.08. (That gives you σ=3.8.)
In real life, the "step by step" is to enter the data into a suitable calculator and let it compute the statistics for you.
Answer:
One Solution:
Infinitely Many Solution:
No Solution:
Step-by-step explanation:
System 1
Hence only one solution
System 2
Both represents the same line. Hence these have infinitely many solutions.
System 3
Compare both the lines with , where m is the slope.
for both the lines.
Hence these two lines are parallel that means there does not exists any point of intersection
So this system will not have any solution.