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HYPOTHESIS TESTING ASSIGNMENT HELP

Hypothesis Testing is a significant tool for any statistical analyst and mastering all the methods and formulae around this concept is key for students of statistics. Unfortunately for many students, excelling in Hypothesis Testing has become a great challenge. For many of these students, assignments, and projects seem to be the trickiest in the course of their study and since they make up for their final grade, many of them end up with poor or average grades.
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AN OVERVIEW OF HYPOTHESIS TESTING

Hypothesis Testing is a statistical process where an idealized model/synthetic data set is tested against a data set obtained by random sampling. Put simply, it (Hypothesis Testing) involves running tests on an assumption regarding a population parameter to ascertain its validity.

HYPOTHESIS TESTING IS USUALLY USED TO TEST TWO DIFFERENT KINDS OF HYPOTHESES:

  • Null Hypothesis – This Hypothesis proposes that no statistical significance exists in a set of given observations.
  • Alternative Hypothesis – This is a Hypothesis that is related to the theory one would like to prove. (Usually the opposite of the null Hypothesis)

STEPS OF HYPOTHESIS TESTING

Statistical Hypothesis Testing occurs in the steps outlined below:

  1. The first step is for the analyst to state the two hypotheses. That is the null Hypothesis and the alternative Hypothesis.
  2. The analyst then formulates and clearly outlines an analysis plan which provides details on how data will be evaluated.
  3. The analyst then carries out the plan and analyzes the data sample.
  4. Finally, after results have been obtained, they are analyzed and the analyst either accepts the null Hypothesis as plausible or rejects the null Hypothesis.

A BRIEF DESCRIPTION OF WHAT WE COVER UNDER HYPOTHESIS TESTING

Our Hypothesis Testing assignment help service endeavors to cover all the topics students might encounter in their study of statistics. Even though these may vary from one institution to another, we are still confident that our experts can handle any assignment you have. Some of the common topics we cover include:
  • Power of a test
  • Type I and Type II errors
  • Hypothesis formulation
  • Sampling theory
  • Z-test
  • Test of one Variance
  • The significance level of a test
  • T-test
  • Testing Proportion
 
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