This is an important subject for the students who have opted for management, economics or commerce. All of these fields have at least a subject as statistics. A student who has undertaken a management course has to study statistics extensively. This is a difficult subject to master, mainly because of its mathematical nature. Concepts like regression and correlation, skewness and kurtosis, exponential distribution, least square regression, gamma distribution, etc. cause problems for the student. Statistics is a very vast subject and pursuing PhD in it is like taking on a prolonged battle. Hence, EssayCorp offers the best statistics assignment help to the students who face difficulties in executing its assignment and project.
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It is a diverse subject, which has lots of breathtaking formulas and steps. It is broadly divided into two main parts: Descriptive and Inferential.
As mentioned earlier, the primary problem with this subject lies in its nature, which is mathematical. There are numerous concepts that cause problems for the students. The assignment in this subject can be especially cumbersome due to the ineptness of the student; and understandably so, as the student is still in the learning phase and cannot be expected to present an error less assignment. And given the importance of assignments, it is necessary to get it done effectively. Therefore, we at EssayCorp provide statistics assignment help.
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The general idea is to perform an analysis of some data that you find interesting using the statistical tools and critical insights that you have developed in the course.1Identify a topic you find interesting about which you have a question that could be resolved with appropriate data and analysis.
Read the paper “ESP paper rekindles discussion about statistics” and write a one-paragraph summary. Load the ozone data from the course webpage into R.Your responses to these questions should be no more than 2 pages. You should also turn in a separate file with carefully commented code.
Analyze and understand the dataset of different collection of cars and explore the relationship between different variable from a set of eleven variables.Estimation and comparison between the overall regression model and Stepwise Selection procedure. Check all the underlying assumptions for the best fit model and Exploratory data analysis for each of the variable