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AEA501Agricultural Sciences3 Unitsintermediate

Statistics For Social Sciences

This course provides a clear understanding of statistics for social sciences. It covers background, roles, scope, and limitations of statistics, data collection, classification, presentation, measures of central tendency and dispersion. Also includes population, sample and sampling techniques, probability, factorial, permutation, combination, mathematical expectations, binomial, poisson, normal distributions, central limit theory, confidence interval and hypothesis testing, student's T-Test, Z distribution, F distribution, chi square analysis, correlation and regression analysis.

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156h
Study Time
13
Weeks
12h
Per Week
intermediate
Math Level
Course Keywords
StatisticsSocial SciencesProbabilityHypothesis TestingRegression

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

Descriptive Statistics

2

Inferential Statistics

3

Probability

4

Sampling Techniques

5

Hypothesis Testing

6

Regression 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

Data Analyst

Apply your skills in this growing field

Market Researcher

Apply your skills in this growing field

Statistician

Apply your skills in this growing field

Social Science Researcher

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

Market ResearchSocial SciencesGovernmentEducation

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

Module 1: Background, Roles, Scope and Limitations of Statistics

3h

Unit 1: General Background and Roles of Statistics

3 study hours
  • •Define statistics and its roles.
  • •Identify areas of application.
  • •Discuss descriptive and inferential statistics.
Week
2

Module 1: Background, Roles, Scope and Limitations of Statistics

3h

Unit 2: Scope of Statistics and its Limitations

3 study hours
  • •Discuss the scope of statistics.
  • •Explain the limitations of statistics.
  • •Provide examples of statistical applications in various fields.
Week
3

Module 2: Data Collection, Classification and Presentation

3h

Unit 1: Techniques of Data Collection and Data Classification

3 study hours
  • •Differentiate between raw data and information.
  • •Explain methods of data collection.
  • •Outline methods of classifying data.
Week
4

Module 2: Data Collection, Classification and Presentation

3h

Unit 2: Data Presentation and Tabulation

3 study hours
  • •Outline methods of data presentation.
  • •Explain tabular data presentation.
  • •Present data graphically.
  • •Differentiate grouped and ungrouped data.
Week
5

Module 3: Measures of Central Tendency

3h

Unit 1: Measures of Central Tendency (The Arithmetic, Weighted, Geometric and Harmonic Mean)

3 study hours
  • •Define types of statistical means.
  • •Differentiate arithmetic, weighted, geometric, and harmonic means.
  • •Solve problems related to arithmetic mean.
Week
6

Module 3: Measures of Central Tendency

3h

Unit 2: Measures of Central Tendency (Median)

3 study hours
  • •Determine the median from grouped and ungrouped data.
  • •Use cumulative frequency polygon to determine the median of the distribution.
  • •Solve problems related to median.
Week
7

Module 3: Measures of Central Tendency

3h

Unit 3: Quartile and Percentile

3 study hours
  • •Define and explain how quartile is calculated.
  • •Differentiate between quartile and percentile.
  • •Solve problems related to quartile and percentile.
Week
8

Module 3: Measures of Central Tendency

3h

Unit 4: The Mode and Relationship Between Mean, Median and Mode

3 study hours
  • •Define mode.
  • •Calculate mode from grouped and ungrouped data.
  • •Explain the relationship between mean, median, and mode.
  • •Determine mode using frequency curve.
Week
9

Module 4: Measures of Dispersion

3h

Unit 1: Measure of Dispersion (the Range and Mean Deviation)

3 study hours
  • •Define range.
  • •Calculate the range from given data.
  • •Determine the mean deviation from a frequency distribution.
  • •Calculate the coefficient of mean deviation.
Week
10

Module 4: Measures of Dispersion

3h

Unit 2: Standard Deviation and Variance as a Measure of Dispersion

3 study hours
  • •Define standard deviation.
  • •Calculate standard deviation from grouped and ungrouped data.
  • •Define and calculate variance.
  • •Calculate the coefficient of variation.
Week
11

Module 5: Population, Sample and Sampling

3h

Unit 1: Population and Sample

3 study hours
  • •Define sample and population.
  • •Differentiate between sample and population.
  • •Explain the reasons for sampling.
Week
12

Module 5: Population, Sample and Sampling

3h

Unit 2: Types of Sampling

3 study hours
  • •Define different types of sampling.
  • •Differentiate one sampling technique from another.
  • •Explain each type of sampling with examples.
Week
13

Modules 1-12

6h

Final Revision

6 study hours
  • •Review key concepts from all modules.
  • •Work on assignments and TMAs.
  • •Prepare for final examination.

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 module objectives and summaries.

2

Practice solving problems from each unit.

3

Focus on understanding the assumptions and applications of different statistical tests.

4

Create a formula sheet for quick reference during the exam.

5

Allocate time to revise TMAs and assignments.

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