ANL321 Statistical Methods Assignment Example

Singapore, a country famous for being an education hub for international students as well as one of the most expensive countries in the world. In a lot of competition and the race of being the best, students in Singapore somehow manage to analyze that they should pursue an undergraduate program in statistics. The Singapore University of Social Sciences which falls in the list of top cum prominent universities of Singapore offers a modular undergraduate course namely Statistical Methods (ANL321) to the students who have an interest in learning statistics.

Many students of Singapore opt this SUSS ANL321 course and earn knowledge and adequate aptitudes to solve typical statistics problems. Several Singaporeans also g through some ANL321 Statistical Methods assignment samples in order to acquire a better understanding and expertise of solving their ANL321 SUSS assignments.

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The Singaporeans not only receive a good bit of expertise but also some tasks to show that knowledge. In other words, the SUSS ANL321 course not only consists of oodles of prowess but also comprises various assignments like Tutor Marked Assignments, Pre-class quiz, group-based assignment, etc.  

Purpose behind introducing ANL321 Course in SUSS curriculum

The major objective behind introducing the ANL321 Statistical Methods in SUSS curriculum is to enlighten the Singaporean scholars with fundamental knowledge of statistics and its problem-solving methods.

The SUSS ANL321 course aims to deliver the students more in-depth knowledge of the statistical theories than what they have studied in the SUSS BUS105 Statistics course. It covers the topics like multiple comparisons in ANOVA, and model adequacy checking in Regression models in a more detailed way than the other statistics course.

Introduction to ANL321 Statistical Methods Course

The ANL321 Statistical Methods course is an undergraduate course for the Singaporean students in which they get familiar with different concepts and theories of statistics. This course explains the foundational topics such as probability theory and random variables which let the students solve the problems based on principles of statistics and probability.

In addition, it also apprises the students about concepts of summary statistics like- expectations, covariance, variance, etc. Also, the course introduces large sample theory e.g. large numbers and central limit theorem.

Along with these topics, this course address issues regarding the application of linear regression analysis. Besides this, the Singaporean students will also get to know about the elements of nonparametric statistics and regression like kernel density estimation and kernel regression.

What are statistical methods

Statistical methods are the mathematical concepts, formulas, models, & techniques which are- used in the statistical analysis of raw research data. This way, the information is extracted from the research data and performs employ different methods to appraise the robustness of the research outputs.

Besides, here are some types of statistical methods: –

• Mean
• Standard deviation
• Regression
• Variance
• Skewness
• Sample size determination
• Kurtosis
• Hypothesis testing

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SUSS ANL321 Statistical Methods Course Topics

As discussed above, the ANL321 course program comprises a variety of topics and furnishes the students with a profound understanding of the major subject. It includes different topics some of which are already taught in courses like BUS105 or MTH220 Statistical Methods and Inference but in a more detailed way.

Here are some main topics that the ANL321 SUSS course includes: –

• Random Variables
• Probability
• The Conditional Expectation
• Measures of Central Tendency, Dispersion and Association
• Confidence Intervals and Hypothesis Testing
• Assumptions and Properties of Least Squares Estimators
• Elements of Finite Sample Properties and Asymptotic Theory
• Regression through the Origin, Omitted Variable Bias, Multicollinearity
• Inference in Linear Regression
• Introduction to Maximum Likelihood Estimation

Scholastic Outcomes of ANL321 Statistical Methods Course

The learners of the ANL321 course receive an intense understanding of various topics and become able to demonstrate it in solving the SUSS assessments and exams. The students become efficient enough to solve all kinds of problems and display a great reflection of their knowledge while writing university assignments.

Here are some superb learning outcomes of SUSS Statistical Methods (ANL321) course: –

• Capable of explaining relevant concepts used in different statistical methods
• Can ascertain which statistical methods should be used for solving any different kind of business problem or data structure
• Depict the relevant information and assumptions that are to be used for particular statistical methods
• Assess the benefits and drawbacks of using statistical methods
• Interpret the results of a problem by employing an appropriate statistical method

In conjunction with those great outcomes, students actually get mindful of the valuable concepts and topics that they can freely complete their assignments. But there arises an issue which is lack of time due to a stressful schedule.

Many students are not able to finish homework on time due to lack of knowledge whereas some are there who in spite of having fine expertise, unable to write assignments due to lack of time. If you are also going through all this & seeking writing services that you can trust, you are no far from that now.

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