OPTO442 Optometric Statistics

Course Description
To understand and gain proficiency in the application of the following: descriptive statistics, basic concepts, probability distribution, correlation and regression, Pearson’s sample correlation coefficient and population and sample regression models, probability distribution and cumulative distribution function, normal distribution, standard normal distribution and sampling distribution, and analysis of variances (ANOVA) test such as side by side boxplots and construction of ANOVA table to compute the F and P-values. The topics to be covered also include the art and science of gathering, analyzing and presenting experimental data. In addition, the student will be asked to look for an article, analyses and present their chosen topic in which basic aspects of statistics will be applied.
 
Course Objectives
· To understand and gain proficiency in the application of descriptive statistics
· To demonstrate and understand the basic aspects of statistics
· To acquire the basic understanding of central tendency estimation
· To develop an understanding of differences between descriptive and interfacial statistics
· To develop an understanding of methods to measure the dispersion
· To gain an overview and identify the nature of probability distribution
· To demonstrate the differences between probability distribution and cumulative distribution function
· To gain knowledge about the differences among the normal distribution, standard normal distribution and sampling distribution
· To provide the students with a basic knowledge about correlation and regression, Pearson’s sample correlation coefficient
· To provide the students with basic knowledge about population and simple regression models
· To provide the students with basic knowledge to construct side by side boxplots
· To provide the students with a basic knowledge about analysis of variances (ANOVA) test.
· To provide the students with a basic knowledge to construct ANOVA table
· To introduce the basic concepts of computing the F and P-values
· To provide the students with a basic knowledge to use one computer software to aid in the collation and analysis of data
· To provide the students with a basic knowledge to use software to construct frequency tables, graphs and charts
· To provide the students with a basic knowledge about the linear equation and line best fit
· To provide the students with a basic knowledge about drawing 2D and 3D graphs.
 

Course Materials