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Confidence Interval Problem Generator

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This commit is contained in:
Ritu Raj
2020-10-17 13:22:26 +05:30
committed by GitHub
parent a4fdc4ce99
commit efc3df0b27
1 changed files with 22 additions and 0 deletions
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mathgenerator/mathgen.py
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@@ -713,6 +713,27 @@ def fourthAngleOfQuadriFunc(maxAngle = 180):
problem = f"Fourth angle of quadrilateral with angles {angle1} , {angle2}, {angle3} =" problem = f"Fourth angle of quadrilateral with angles {angle1} , {angle2}, {angle3} ="
solution = angle4 solution = angle4
return problem, solution return problem, solution
def confidenceIntervalFunc():
n=random.randint(20,40)
j=random.randint(1,4)
lst=random.sample(range(200,300),n)
lst_per=[80 ,90, 95, 99]
lst_t = [1.282, 1.645, 1.960, 2.576]
mean=0
sd=0
for i in lst:
count= i + mean
mean=count
mean = mean/n
for i in lst:
x=(i-mean)**2+sd
sd=x
sd=sd/n
standard_error = lst_t[j]*math.sqrt(sd/n)
problem= 'The confidence interval for sample {} with {}% confidence is'.format([x for x in lst], lst_per[j])
solution= '({}, {})'.format(mean+standard_error, mean-standard_error)
return problem, solution
# || Class Instances # || Class Instances
@@ -769,3 +790,4 @@ matrixMultiplication = Generator("Multiplication of two matrices", 46, "Multipl
CubeRoot = Generator("Cube Root",47,"Cuberoot of a upto 2 decimal places is","b",cubeRootFunc) CubeRoot = Generator("Cube Root",47,"Cuberoot of a upto 2 decimal places is","b",cubeRootFunc)
powerRuleIntegration = Generator("Power Rule Integration", 48, "nx^m=", "(n/m)x^(m+1)", powerRuleIntegrationFunc) powerRuleIntegration = Generator("Power Rule Integration", 48, "nx^m=", "(n/m)x^(m+1)", powerRuleIntegrationFunc)
fourthAngleOfQuadrilateral = Generator("Fourth Angle of Quadrilateral",49,"Fourth angle of Quadrilateral with angles a,b,c =","angle4",fourthAngleOfQuadriFunc) fourthAngleOfQuadrilateral = Generator("Fourth Angle of Quadrilateral",49,"Fourth angle of Quadrilateral with angles a,b,c =","angle4",fourthAngleOfQuadriFunc)
ConfidenceInterval = Generator("Confidence interval For sample S", 51, "With X% confidence", "is (A,B)", confidenceIntervalFunc)