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STT102Sciences2 Unitsbeginner

Introductory Statistics

This course introduces students to the basic principles and applications of statistics. It is designed for students with no prior knowledge of statistics, initiating them to the subject at an introductory stage. The course covers data collection, compilation, analysis, and presentation, along with drawing conclusions from statistical analysis. It also uses practical examples from the local environment and case studies in the social and health sectors.

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91h
Study Time
13
Weeks
7h
Per Week
intermediate
Math Level
Course Keywords
StatisticsData AnalysisSamplingProbabilityHypothesis Testing

Course Overview

Everything you need to know about this course

Course Difficulty

Beginner Level
Perfect for newcomers to the field
35%
beginner
📊
Math Level
Moderate Math
📖
Learning Type
Theoretical Focus

Course Topics

Key areas covered in this course

1

Statistical Methods

2

Data Collection

3

Sampling Techniques

4

Frequency Distribution

5

Measures of Location

6

Hypothesis Testing

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 (2 methods)

Tutor Mark Assignments

Comprehensive evaluation of course material understanding

Written Assessment

Final Examination

Comprehensive evaluation of course material understanding

Computer Based Test

Career Opportunities

Explore the career paths this course opens up for you

Nurse

Apply your skills in this growing field

Medical Researcher

Apply your skills in this growing field

Health Administrator

Apply your skills in this growing field

Public Health Officer

Apply your skills in this growing field

Data Analyst

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

HealthcarePublic HealthResearchGovernmentPharmaceuticals

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

Module 1: Statistical Method

14h

Unit 1: Aims of the Statistical Method

7 study hours
  • •Understand the aims of statistical techniques in nursing education and practice.
  • •Define and employ basic statistical terms.

Unit 2: Collection of Data: Sampling

7 study hours
  • •Plan and conduct a statistical study involving health issues.
  • •Employ an adequate or reliable method of sampling in your statistical study.
Week
2

Module 1: Statistical Method

14h

Unit 3: Collection of Data: Bias

7 study hours
  • •Identify bias in any statistical survey.
  • •Recognizes sources of bias in a statistical survey.

Unit 4: Collection of Data: Forms of Record

7 study hours
  • •Construct forms of record for collection of data.
  • •Identify and present unambiguous questions in a form of record for collection of data.
Week
3

Module 1: Statistical Method

7h

Unit 5: Presentation of Data

7 study hours
  • •Tabulate and organize raw data.
  • •Present data by means of tables, diagrams, charts and graphs.
Week
4

Module 2: Measure of Location and Dispersion

14h

Unit 1: Frequency Distribution

7 study hours
  • •Define frequency distribution and relative frequency.
  • •Construct absolute and relative frequency tables.

Unit 2: Cumulative Distribution

7 study hours
  • •Define cumulative frequency and relative cumulative frequency.
  • •Construct cumulative frequency and relative cumulative frequency tables for a set of raw data.
Week
5

Module 2: Measure of Location and Dispersion

14h

Unit 3: Measures of Location

7 study hours
  • •Understand and use the summation operator in computation.
  • •Define and compute the mean, median and mode.

Unit 4: Measure of Dispersion

7 study hours
  • •Define and compute the range, variance and standard deviation.
  • •Select suitable descriptive measure for summarizing data by means of percent's, percentiles.
Week
6

Module 2: Measure of Location and Dispersion

7h

Unit 5: Correlation

7 study hours
  • •Recognize linear and curvilinear relationships.
  • •Display a set of data by means of scatter diagram.
Week
7

Module 3: Probability Distribution

14h

Unit 1: Regression

7 study hours
  • •Describe in words the use of regression analysis.
  • •Discuss precautions in the use of regression.

Unit 2: Simple Concepts of Probability

7 study hours
  • •Define terms relating to probability.
  • •Identify events.
Week
8

Module 3: Probability Distribution

14h

Unit 3: Relationship between Population and Sample

7 study hours
  • •Define population and sample and state the relationship between them.
  • •Describe the relationship between parameters and statistics and give examples of each.

Unit 4: Normal Distribution

7 study hours
  • •List the properties of the normal distribution.
  • •State the standard probabilities associated with the normal curve.
Week
9

Module 3: Probability Distribution

7h

Unit 5: Sampling Distribution of the Mean and the Central Limit Theorem

7 study hours
  • •Describe in words the meaning of sampling error.
  • •Explain concisely the meaning of a derived distribution.
Week
10

Module 4: Hypothesis Test

14h

Unit 1: Mean Estimation

7 study hours
  • •Calculate and interpret confidence intervals on a single population mean.
  • •Calculate and interpret confidence intervals on the difference in two population means.

Unit 2: Fundamentals of Hypothesis Test

7 study hours
  • •List the elements of a statistical test and describe in words what is meant by null hypothesis, test statistics, level of significance, rejection region, and decision or conclusion.
  • •Recognize these elements in a given research situation.
Week
11

Module 4: Hypothesis Test

14h

Unit 3: Hypothesis Test for one Population Mean when Standard Deviation is Known

7 study hours
  • •Carry out a test of hypothesis for a population mean given the standard deviation of the population.

Unit 4: Classical Approach vs P-Value Approach to Hypothesis Testing

7 study hours
  • •Apply the p-value approach to hypothesis testing.
  • •Interpret the results of a hypothesis test suitably.
Week
12

Module 4: Hypothesis Test

7h

Unit 5: Measures of Morbidity

7 study hours
  • •Recognize the need for morbidity statistics.
  • •Identify measures of morbidity.
Week
13

Final Revision

7h

Final Revision

7 study hours
  • •Review all modules and units.
  • •Work on assignments and mini-projects.

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

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Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Review all units, focusing on key definitions and formulas.

2

Practice solving problems related to data presentation and analysis.

3

Understand the different sampling techniques and their applications.

4

Focus on hypothesis testing procedures and error analysis.

5

Create summaries of each module to reinforce learning.

6

Practice with past exam papers to get familiar with the question format.

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