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# Introduction to Statistics without Maths: Basic Inferential Statistics

Explore the fascinating world of inferential statistics. Master probabilities, correlations, and hypothesis testing.

# Introduction to Statistics without Maths: Basic Inferential Statistics

• 2 weeks

• 4 hours per week

• Digital certificate when eligible

• Introductory level

Find out more about how to join this course

• Duration

2 weeks
• Weekly study

4 hours
• 100% online

How it works
• Unlimited subscription

## Become a whiz at inferential statistics

It’s often said that the most predictable thing about life is its unpredictability; so it’s no wonder why making sense of the world around us can feel overwhelming.

But with the help of inferential statistics, you can apply logic to a realm of randomness and gain insights to make better decisions.

On this two-week, online course from the University of Lincoln, build your repertoire of statistics skills without needing an extensive maths background. Explore various inferential methods, from basic correlations to contingency tables.

## Explore probability theory and hypothesis testing

Delve into the basics of probabilities, normal distribution, and hypothesis testing, providing foundational knowledge essential for quantitative data analysis.

Build a framework for real-world data analysis by learning how to standardise data with Z-scores and calculate P-values.

## Grasp correlation principles, such as contingency tables and degrees of freedom

You’ll gain an understanding of the fundamentals of statistical correlations, learning how to assess relationships between variables and interpret their significance in data analysis.

By the end of this course, you’ll be able to confidently and correctly identify correlations and patterns in categorical and continuous data to make informed decisions or predictions.

## Learn from the University of Lincoln’s Experts on Statistics

The University of Lincoln’s experts in Statistics have developed innovative approaches to teaching statistical concepts. They will be there to guide you throughout this course.

Once you’ve finished this course, you can consider joining the next course from the University of Lincoln: Learn Descriptive Statistics without Maths: Combining Data.

Skip to 0 minutes and 2 seconds Welcome to the Statistics without Maths courses. These are four courses where we’ll teach you fundamental statistic concepts and techniques to bring data to life so that you can make sense of it and that you can explain the findings to others in an easy way. For this course you won’t need any maths. To introduce myself, I’m Doctor Joshua Skoczylis. I’m a senior lecturer in criminology and counter terrorism and I’ve been teaching statistics and quantitative methods for over a decade now. My name’s Scott Kidd and I’m an Associate Lecturer and Researcher in criminology and psychology. My name is John Abiodun Babalola. I’m a PhD student of University of Lincoln, Associate Lecturer in the department of Criminology.

Skip to 0 minutes and 44 seconds I’m teaching quantitative analysis because of the fact that I see it as different to other model of analysis and I see it as very, very interesting and because of the fact that you learn this with little mathematics. Through these courses, we will guide you through the fundamentals of statistics, breaking down complex concepts into easy to understand lessons. Whether you’re a complete beginner or looking to brush up on your skills, you’ll find practical and valuable insights and that you can apply to help you in your studies and your career going forward. Data is all around us. We use it every day. It allows us to carry out research and understand complex and big data sets.

Skip to 1 minute and 18 seconds You need the skills and employment and at university. They’re very transferable skills. For breakdown of the details of the course and the syllabus, just scroll down and you’ll see what each of the four courses covers. We’re looking forward to seeing you on this journey to learning statistics without maths. Thank you very much.

## Syllabus

• ### Course Overview

Here you will be introduced to the course. We will also provide some additional resources.

• ### Correlations: The Basics - Normal Distribution

In this activity, you will be introduced to a fundamental concept of statistics - normal distribution.

• ### Standard Errors, Z-Scores and Confidence Intervals

Here we will introduce you to two basic concepts that you will come across again and again: Standard Errors, Z-Scores, and Confidence Intervals.

• ### Weeks Summary

Find a summary of what you have learned this week.

• ### Overview of Weeks Content

Here we will go over what is covered this week.

• ### Probabilities and Hypothesis Testing

In this activity you will learn about Probabilities and Hypothesis testing.

• ### Correlations: The Basics - Statistical Tests

Here you will learn how we measure correlations using various statistical tests.

• ### Parametric versus Non-Parametric Testing

Here you will learn the differences between Parametric and No-Parametric testing

• ### Degrees of Freedom

This activity will introduce you to the concept and processes for determining degrees of freedom.

• ### Course Summary

Here we will re-cap what we have learned over the last two weeks.

## When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

• Available now

## Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

## What will you achieve?

By the end of the course, you‘ll be able to...

• Demonstrate an understanding of the basic concepts of probabilities
• Demonstrate an understanding of the basics of correlations
• Demonstrate the ability to use the correct test for the various different types of data
• Apply your knowledge of probabilities to Hypothesis testing
• Apply your knowledge of hypothesis testing and correlations to your analysis of data

## Who is the course for?

This course is designed for anyone interested in statistics and data analysis. You don’t need a maths background, but it may be helpful to refresh your skills with the course, Introduction to Statistics without Maths: Descriptive Statistics.

## What software or tools do you need?

To really understand data analysis, you will need to also spend some time to learn using the techniques taught on the course. There are lots of different programmes that you can use - please choose the one you are comfortable with. Jamovi is one such option and the one we use within the course:

• Jamovi. This is a free software that you can download onto your computer. A cloud version is available but requires you to create an account and has some limitations in functionality. You can download this at https://jamovi.org/.
• Alongside this, we recommend you work through the step-by-step Jamovi guides available on the StatsMadeEasy Website - link.

## University of Lincoln

The University of Lincoln is proud to be ranked as a Top 3 University in the WhatUni University of the Year 2024 awards, as well as a triple-gold institution in the latest Teaching Excellence Framework (TEF) 2023.

• Established

1996
• Location

Lincoln, Lincolnshire, UK

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Develop skills to further your career

• Learn at your own pace
• Digital certificate when you're eligible

\$109/one-off payment

• Learn at your own pace
• Printed and digital certificate when you’re eligible

### Limited access

Free

Sample the course materials

• Access expires 23 Sep 2024
 Find out more about Unlimited or buying a course (Upgrades)Sale price available until 31 October 2024 at 23:59 (UTC). T&Cs apply.

Sale price available until 31 October 2024 at 23:59 (UTC). T&Cs apply.

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