
Free Course

XSIQ

610 Hours

Assessment

Certification

Academic  Third Level  Level 1

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 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 or Certificate.
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
Types of Graphs
Start Topic

Ice cream pictograph
Start Topic

Column and bar graphs
Start Topic

Examples of column graphs
Start Topic

Pie charts
Start Topic

Examples of pie charts
Start Topic

Line graphs
Start Topic

Temperature line graphs
Start Topic

Types of graphs
Start Topic

Interpreting column graphs
Start Topic

Manchester flights bar graph
Start Topic

Movie line graph
Start Topic

Interpretation of a sports pie graph
Start Topic

Review of graphs
Start Topic

Types of Graphs

Module
3 Frequency and Graphs
Overview of Frequency and graphs
Start Topic

Nominal data
Start Topic

Discrete data
Start Topic

Continuous data
Start Topic

Frequency tables with nominal data
Start Topic

Frequency tables with discrete data
Start Topic

Frequency tables  discrete data and summary statistics
Start Topic

Mean from frequency tables  discrete data
Start Topic

Interpreting column graphs
Start Topic

Family size cumulative frequency
Start Topic

Overview of Frequency and graphs

Module 2  Probability

Module
4 Probability 
Module
5 Probability and Relative Frequency
Probability and relative frequency
Start Topic

Shortrun coin tossing
Start Topic

Shortrun dice rolling
Start Topic

Predicting from past experience
Start Topic

Towards probability with coins
Start Topic

Towards probability with dice
Start Topic

Probability as longrun relative frequency
Start Topic

Probability and relative frequency

Module
6 Probability and Odds 
Statistics Assessment 1

Statistics Assessment 1

Assessment 1

Statistics 1 Assessment
Start Topic


Module 3  Summary Statistics

Module
7 Summary Statistics
Summary statistics
Start Topic

The mean
Start Topic

The median – definition
Start Topic

Cumulative frequency
Start Topic

Cumulative frequency graph
Start Topic

The mode
Start Topic

Advantages and disadvantages of the mean
Start Topic

The median for even data sets
Start Topic

Advantages and disadvantages of the median
Start Topic

The mean  example
Start Topic

The median  example
Start Topic

Summary statistics

Module
8 Range
The soccer activity
Start Topic

The range
Start Topic

The interquartile range
Start Topic

The interquartile range  example 1
Start Topic

The interquartile range  example 2
Start Topic

The standard deviation
Start Topic

Boxplots
Start Topic

Boxplots  example
Start Topic

Using your calculator
Start Topic

The soccer activity

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
Start Topic

Mean of a hypergeometric random variable
Start Topic

Variance of a hypergeometric random variable
Start Topic

Mean and variance of a hypergeometric random variable example 1
Start Topic

Mean and variance of a hypergeometric random variable example 2
Start Topic

Formula for calculating probabilities
Start Topic

Calculating probabilities
Start Topic

Sampling without replacement

Statistics Assessment 2

Statistics Assessment 2

Assessment 2

Statistics 2 Assessment1
Start Topic


Module 6  Regression Analysis

Module
16 Regression
Introduction to the regression line
Start Topic

Finding the equation of a regression line
Start Topic

Interpretation of slope and intercept
Start Topic

Practice question
Start Topic

The threemedian regression line
Start Topic

Using your calculator
Start Topic

The threemedian regression example
Start Topic

The threemedian regression practice questions
Start Topic

The least squares regression line
Start Topic

Making predictions from a regression line
Start Topic

Introduction to the regression line

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

Module
19 Trend Analysis
Trends
Start Topic

Cyclic patterns
Start Topic

Random patterns
Start Topic

Describing patterns in time series data
Start Topic

Seasonal patterns
Start Topic

Smoothing a time series
Start Topic

Median smoothing
Start Topic

Smoothing using moving averages
Start Topic

Smoothing  example 1
Start Topic

Smoothing  example 2
Start Topic

Trends

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

Statistics Assessment 3

Assessment 3

Statistics 3 Assessment1
Start Topic


Module 8  End of Course Assessment

End of course Assessment

End of course Assessment

End of Course Assessment
Start Topic
