**Rise above the mean with statistics!**

Strenghten your career with this course in Statistics. If you want to develop scientifically-based research studies, this is your starting point. Learn how to interpret data sets, and how to prove your point based on scientifically proven methods

This course provides the most essential knowledge and skills required by consultants and researchers in a wide variety of disciplines. This course assumes a basic knowledge of Statistics, at least to the level covered by our Research Project I course

**Course Details**

If you are doing the course full time you can complete it in 6 weeks, if you are studying part time then it will take 3-6 months on average to complete the course. Your course will expire after 1 year. You can start the course at any time as it is a self-paced online course.

**Course Outline**

There are 10 lessons in this course:

1.Introduction

Key terms and concepts: data, variables

Measurements of scale: nominal, ordinal, interval,ratio

Data presentation

Probability

Rounding of data

Scientific notation

Significant figures

Functions

Equations

Inequalities

Experimental design

The normal curve

Data collection

Simple, systemic, stratified and cluster random sampling

Remaining motivated to learn statistics

2.Distributions

Scope and nature of distributions

Class intervals and limits

Class boundaries

Frequency Distribution

Histograms

Frequency polygons

Normal distributions

Other distributions

Frequency curves

3.Measures of central tendency

Range, percentiles, quartiles, mode, median, mean

Variance

Standard deviation

Degrees of freedom

Interquartile and semi interquartile deviations

4.The Normal curve and Percentiles and Standard Scores

Normal distribution characteristics

Percentiles

Standard scores

Z scores

T score

Converting standard scores to percentiles

Area under a curve

Tables of normal distribution

5.Correlation

Scope and nature of Correlation

Correlation coefficient

Cooeficient of determination

Scatter plots

Product movement forlinear correlation coefficient

Rank correlation

Multiple correlation

6.Regression

Calculating regression equation with correlation coefficient

Least squares method

Standard error of the estimate

7.Inferential Statistics

Hypothesis testing

Test for a mean

Errors in accepting or rejecting null hypothesis

Levels of significance

One and two tailed tests

Sampling theory

Confidence intervals

8.The t Test

Assessing statistical difference with the t test

Test for independant samples

Test for dependant (paired) samples

9.Analysis of variance

Scope and application of ANOVA

Factors and levels

Hypothesis

Calculate degrees of freedon

Calculate sum of squares within and between groups

Calculate mean square

Calculate F

10.Chi square test

Chi quare goodness of fit test

Calculate degrees of freedom

Chi square test of independance

Calculate expected frquencies

Degrees of freedon

Contingency tables

Find expected frequencies

Calculate degrees of freedom

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Email admin@thetrainingacademy.com.au for a detailed course brochure with course outlines for all the modules.