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Course Description

Introductory Statistics and Applications (I) ( SEC1 ) introduces fundamental statistical concepts, including probability, distributions, sampling, and hypothesis testing. Emphasizing real-world applications, the course equips students with essential data analysis skills for interpreting and solving economic and business problems using statistical tools and methodologies.

Course Starting from 1st October 2024

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Experience our Introductory Statistics and Applications (I) ( SEC1 ) course before enrolling with our exclusive trial classes. These sessions provide a sneak peek into the engaging lectures and interactive teaching methods that define our program.

Combined Mean

Goodness of Fit

Introduction to Statistics

Probability Basics

Terminology

What are Various Descriptive Statistics ?

Introductory Statistics and Applications (I) Syllabus

Learning Objectives

  1. Understand the Basics of Statistics: To introduce students to the fundamental concepts of statistics, including the collection, presentation, and analysis of data.
  2. Data Handling Techniques: To teach students how to gather data from primary and secondary sources and methods to compare them.
  3. Variable Classification: Students will learn to classify variables into discrete, continuous, and categorical types.
  4. Graphical and Tabular Representation: Students will gain the ability to present data using textual, tabular, and diagrammatic methods such as frequency distributions, histograms, and ogives.
  5. Basic Analysis Techniques: Students will learn how to perform univariate and bivariate data analysis.

Learning Outcomes

  1. Proficiency in Data Collection Methods: By the end of the course, students will have an understanding of primary and secondary data collection techniques and their relative advantages and disadvantages.
  2. Ability to Classify Variables: Students will be able to differentiate between discrete, continuous, and categorical variables, and use this classification in statistical analysis.
  3. Competency in Data Presentation: Students will be able to present data using various formats including textual, tabular, and diagrammatic approaches like frequency polygons and histograms.
  4. Basic Analytical Skills: Students will be proficient in analyzing data sets using univariate and bivariate techniques, and will be able to interpret the results.

Examination Scheme

Total Marks: 75

FUNTASTIC Faculty from DSE & ISI

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best ma economics faculty Samkith banthia

Samkith Banthia

ISI Alumnus | Eco(H) St Xaviers Kolkata | FRM from GARP | Formerly with Barclay's Bank

Samkith Sir, an alumnus of ISI, transitioned from a successful banking career to pursue his passion for teaching and mentoring aspiring students. With expertise in mathematics and a nurturing demeanor, he stands out as a premier educator, dedicated to guiding students towards academic excellence.

best ma economics faculty Mahima banthia

Mahima Banthia

DSE Alumnus | Eco(H) SRCC Delhi | Former Lecturer St Stephen’s College Delhi | NET qualified

In Mahima Ma’am’s class at EduSure, we prioritize logical reasoning and emphasize conceptual understanding, ensuring mastery of macroeconomics. Mahima Ma’am, also handling administrative responsibilities at EduSure, is dedicated to providing the highest quality service to every student.

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