Statistics Examples

Find the Probability Using the Mean and Standard Deviation mu=4 , sigma=1.94 , 3.65<x<4.29
μ=4 , σ=1.94 , 3.65<x<4.29
Step 1
The z-score converts a non-standard distribution to a standard distribution in order to find the probability of an event.
x-μσ
Step 2
Find the z-score.
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Step 2.1
Fill in the known values.
3.65-(4)1.94
Step 2.2
Simplify the expression.
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Step 2.2.1
Simplify the numerator.
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Step 2.2.1.1
Multiply -1 by 4.
3.65-41.94
Step 2.2.1.2
Subtract 4 from 3.65.
-0.351.94
-0.351.94
Step 2.2.2
Divide -0.35 by 1.94.
-0.18041237
-0.18041237
-0.18041237
Step 3
The z-score converts a non-standard distribution to a standard distribution in order to find the probability of an event.
x-μσ
Step 4
Find the z-score.
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Step 4.1
Fill in the known values.
4.29-(4)1.94
Step 4.2
Simplify the expression.
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Step 4.2.1
Simplify the numerator.
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Step 4.2.1.1
Multiply -1 by 4.
4.29-41.94
Step 4.2.1.2
Subtract 4 from 4.29.
0.291.94
0.291.94
Step 4.2.2
Divide 0.29 by 1.94.
0.14948453
0.14948453
0.14948453
Step 5
Find the value in a look up table of the probability of a z-score of less than 0.07162029.
z=-0.18041237 has an area under the curve 0.07162029
Step 6
Find the value in a look up table of the probability of a z-score of less than 0.05942066.
z=0.14948453 has an area under the curve 0.05942066
Step 7
To find the area between the two z-scores, subtract the smaller z-score value from the larger one. For any negative z-score, change the sign of the result to negative.
0.05942066-(-0.07162029)
Step 8
Find the area between the two z-scores.
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Step 8.1
Multiply -1 by -0.07162029.
0.05942066+0.07162029
Step 8.2
Add 0.05942066 and 0.07162029.
0.13104096
0.13104096
μ=4,σ=1.94,3.65<x<4.29
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