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ECO726Social Sciences2 Unitsintermediate

Applied Statistics

This course introduces students to statistical tools applicable in economic analysis, building upon elementary statistics and economics foundations. It covers basic sampling and survey techniques, including sampling distributions and parameter estimation. Students will learn hypothesis testing, regression analysis, and time series analysis. The course aims to equip students with the ability to apply statistical tools to real-life economic problems and interpret calculated coefficients effectively.

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45h
Study Time
13
Weeks
3h
Per Week
intermediate
Math Level
Course Keywords
Applied StatisticsSamplingRegression AnalysisHypothesis TestingTime Series

Course Overview

Everything you need to know about this course

Course Difficulty

Intermediate Level
Builds on foundational knowledge
65%
intermediate
📊
Math Level
Moderate Math
📖
Learning Type
Theoretical Focus

Course Topics

Key areas covered in this course

1

Sampling Techniques

2

Estimation Theory

3

Hypothesis Testing

4

Regression Analysis

5

ANOVA

6

Time Series Analysis

Total Topics6 topics

Ready to Start

No specific requirements needed

This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assignments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Written Assessment

Career Opportunities

Explore the career paths this course opens up for you

Economist

Apply your skills in this growing field

Data Analyst

Apply your skills in this growing field

Market Research Analyst

Apply your skills in this growing field

Financial Analyst

Apply your skills in this growing field

Statistician

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

FinanceEconomicsMarket ResearchGovernmentConsulting

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

Module 1: BASIC SAMPLING AND SURVEY

3h

Unit 1: Sampling Survey and Sampling Distribution

3 study hours
  • •Define population and sample.
  • •Differentiate between probability and non-probability sampling.
  • •Discuss parameter estimation.
Week
2

Module 1: BASIC SAMPLING AND SURVEY

3h

Unit 2: Sampling Distribution of the Mean

3 study hours
  • •Calculate sampling distribution of sample mean.
  • •Explain the properties of sample distribution.
  • •Solve problems related to the sampling distribution of the mean.
Week
3

Module 1: BASIC SAMPLING AND SURVEY

3h

Unit 3: Sampling Distribution of Difference of Two Means and Sum

3 study hours
  • •Calculate the sampling distribution of the difference of two means.
  • •Calculate the sampling distribution of the sum of two means.
  • •Apply these concepts to practical problems.
Week
4

Module 1: BASIC SAMPLING AND SURVEY

3h

Unit 4: Sampling Distribution of Proportion

3 study hours
  • •Calculate sampling distribution of proportion.
  • •Calculate standard error.
  • •Apply sampling distribution of proportion to real-world scenarios.
Week
5

Module 2: ESTIMATION AND STATISTICAL TEST OF SIGNIFICANCE

3h

Unit 5: Estimation: Point and Interval Estimation

3 study hours
  • •Differentiate between point estimation and interval estimation.
  • •Calculate point estimates.
  • •Calculate interval estimates.
Week
6

Module 2: ESTIMATION AND STATISTICAL TEST OF SIGNIFICANCE

3h

Unit 6: Z-test and T-test

3 study hours
  • •Apply Z-test to test hypotheses.
  • •Apply T-test to test hypotheses.
  • •Compare and contrast Z-test and T-test.
Week
7

Module 2: ESTIMATION AND STATISTICAL TEST OF SIGNIFICANCE

3h

Unit 7: ANOVA/F-test

3 study hours
  • •Conduct ANOVA tests.
  • •Conduct F-tests.
  • •Interpret ANOVA and F-test results.
Week
8

Module 2: ESTIMATION AND STATISTICAL TEST OF SIGNIFICANCE

3h

Unit 8: Chi-Square

3 study hours
  • •Apply Chi-Square tests.
  • •Interpret Chi-Square test results.
  • •Understand the applications of Chi-Square analysis.
Week
9

Module 3: TEST OF HYPOTHESIS AND REGRESSION ANALYSIS

3h

Unit 9: Hypothesis Testing

3 study hours
  • •Formulate null and alternative hypotheses.
  • •Conduct hypothesis testing.
  • •Interpret the results of hypothesis tests.
Week
10

Module 3: TEST OF HYPOTHESIS AND REGRESSION ANALYSIS

3h

Unit 10: Simple Regression

3 study hours
  • •Perform simple regression analysis.
  • •Interpret simple regression results.
  • •Understand the assumptions of simple regression.
Week
11

Module 3: TEST OF HYPOTHESIS AND REGRESSION ANALYSIS

6h

Unit 11: Multiple Regression

6 study hours
  • •Perform multiple regression analysis.
  • •Interpret multiple regression results.
  • •Understand the assumptions of multiple regression.
Week
12

Module 3: TEST OF HYPOTHESIS AND REGRESSION ANALYSIS

6h

Unit 11: Multiple Regression

6 study hours
  • •Perform multiple regression analysis.
  • •Interpret multiple regression results.
  • •Understand the assumptions of multiple regression.
Week
13

Module 3: TEST OF HYPOTHESIS AND REGRESSION ANALYSIS

3h

Unit 12: Time Series

3 study hours
  • •Analyze time series data.
  • •Identify trends and patterns in time series.
  • •Apply time series models to forecasting.

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

Read the complete course material as provided by NOUN.

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Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Review all unit objectives and ensure you can meet them.

2

Practice solving problems from each unit, focusing on application.

3

Create summaries of key concepts and formulas for quick reference.

4

Allocate specific time slots for revision each day in the weeks leading up to the exam.

5

Focus on understanding the assumptions and limitations of each statistical test.

6

Practice interpreting the results of statistical tests in economic contexts.

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