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The Homework Library (HL) is a database of solved homework problems derived from the endless collaborations between our tutors and students. Every item in the HL is the result of one of our tutors helping to raise a student's understanding and skills to a level sufficient to produce the final product on display in the HL, a testament to the success of the academic partnership.

HL materials are not original and are therefore made available for the sole purpose of studying and learning. **Misuse of HL materials is strictly forbidden.**

The HL was created for students who need immediate help, and in many cases you can find step-by-step explanations on how to solve a problem or examples of proper writing, including the use of citations, references, bibliographies, and formatting. If you don’t find what you are looking for within our HL database, please reach out to one of our tutors and schedule a tutoring session.

Central Limit Theorem in Python

$15.00

Computer Science

Mathematics

Python Programming

Central Limit Theorem

Values

Uniform Distribution

Sample Mean

Skewness

Kurtosis

Calculations

Computer Science

Mathematics

Python Programming

Central Limit Theorem

Values

Uniform Distribution

Sample Mean

Skewness

Kurtosis

Calculations

Programming Languages Problems

$47.00

Computer Science

Programming Languages

Source Codes

Procedures

References

Values

Functions

Expressions

Theorem Proving - Meta-Fibonacci

$45.00

Mathematics

Meta-Fibonacci

Fibonacci

Theorem

Proof

Sequence

Integer

Lemma

Induction

Complex Analysis Problems

$15.00

Mathematics

Complex Analysis

Cauchy Integral

Terms

Justification

Origin

Arbitrary Order

Theorems

Sampling Distributions and Confidence Intervals

$25.00

Mathematics

Statistics

Sampling Distribution

Confidence Intervals

Sampling Bias

Clients

Randomization

Mean

Statistics and Public Health Issues (400 words)

$15.00

Statistics

Mathematics

Public Health

Samples

Population

Cluster Members

Differences

Randomization

Standard Deviation

Statistics

Mathematics

Public Health

Samples

Population

Cluster Members

Differences

Randomization

Standard Deviation

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