
Free

XSIQ

610 Hours

Assessment

Certification

250 Pts
Diploma in Statistics

Description

Outcome

Certification

Statistics and statistical methods play a major role in the work environment in areas such as business, science, finance, economics, engineering to mention just a few. It is very important that people are comfortable with reading statistics and using statistical methods. This free online Diploma in Statistics will give you the knowledge and understanding of basic statistical methods such as sampling and collecting data, probability, distributions, regression analysis. By completing this course you will gain the knowledge and understanding to confidently read statistics and apply statistical methods within your daily working environment.

Upon completion of this course you will learn how to collect and analyse data. You will gain a good knowledge of the graphs that can be used and the reason for using these graphs.You will have a good understanding of probability, univariate data, and bivariate data. You will know the difference between normal, binomial and hypergeometric distribution. You will be able to do a regression analysis. You will understand the benefits of analytical methods such as trend analysis, residual analysis and the calculation of a seasonal index.

All Alison courses are free to study. To successfully complete a course you must score 80% or higher in each course assessments. Upon successful completion of a course, you can choose to make your achievement formal by purchasing an official Alison Diploma, Certificate or PDF.
Having an official Alison document is a great way to celebrate and share your success. It is: Ideal to include with CVs, job applications and portfolios
 A way to show your ability to learn and achieve high results
Modules List( 25 )

Module 1  Introduction to Statistics

Module
1 Collecting and analysing data 
Module
2 Types of Graphs 
Module
3 Frequency and Graphs
Overview of Frequency and graphs

Nominal data

Discrete data

Continuous data

Frequency tables with nominal data

Frequency tables with discrete data

Frequency tables  discrete data and summary statistics

Mean from frequency tables  discrete data

Interpreting column graphs

Family size cumulative frequency

Overview of Frequency and graphs

Module 2  Probability

Module
4 Probability 
Module
5 Probability and Relative Frequency 
Module
6 Probability and Odds 
Statistics Assessment 1

Statistics Assessment 1

Assessment 1

Statistics 1 Assessment


Module 3  Summary Statistics

Module
7 Summary Statistics 
Module
8 Range 
Module
9 Discrete Random Variables 
Module 4  Types of Data

Module
10 Univariate Data Part 1 
Module
11 Univariate Data Part 2 
Module
12 Bivariate Data 
Module 5  Distributions

Module
13 Normal Distribution 
Module
14 Binomial Distribution 
Module
15 Hypergeometric Distribution
Sampling without replacement

Mean of a hypergeometric random variable

Variance of a hypergeometric random variable

Mean and variance of a hypergeometric random variable example 1

Mean and variance of a hypergeometric random variable example 2

Formula for calculating probabilities

Calculating probabilities

Sampling without replacement

Statistics Assessment 2

Statistics Assessment 2

Assessment 2

Statistics 2 Assessment1


Module 6  Regression Analysis

Module
16 Regression
Introduction to the regression line

Finding the equation of a regression line

Interpretation of slope and intercept

Practice question

The threemedian regression line

Using your calculator

The threemedian regression example

The threemedian regression practice questions

The least squares regression line

Making predictions from a regression line

Introduction to the regression line

Module
17 Coefficient of Determination 
Module
18 Nonlinear Data 
Module 7  Analytical Methods

Module
19 Trend Analysis 
Module
20 Residual Analysis 
Module
21 Calculating a Seasonal Index 
Statistics Assessment 3

Statistics Assessment 3

Assessment 3

Statistics 3 Assessment1


Module 8  End of Course Assessment

End of course Assessment

End of course Assessment

End of Course Assessment
