IOP3706 - Personnel Psychology: Employee Retention Summary (Chapter 7 Unit 1)
IOP3706 - Personnel Psychology: Employee Retention
Summary of this chapter which has been made from exam questions.
MATH: LINEAR ALGEBRA & DEs FOR ENGINEERS
These notes provide all of the examinable material that would be covered in a typical maths course. Each section is brief but to the point, no dawdling... Each section contains basic theory, all of the required formulae\'s and examples that have been carefully selected to ensure that the work is understood.
5. Introduction to R - Hypothesis Testing
This is the final session. By the end of this session you should be fairly comfortable with the program.
This session focuses on hypothesis testing. You will cover the correlation function - c()
a look at the additional types of t-tests R is capable of running - t.test()
You will look at a different data file in the format \"long\" and this session covers more complicated subsetting of data
You will learn to run two different types of chi-squared tests (goodness-of-fit and association tests) using chisq.test()
and finally you will learn to fit a regression model using the linear model function lm()
link to the sample data is provided
I hope this has been helpful
DSC1520 EXAM PACK
DSC1520 is a course for Quantitative Modelling 1. To introduce the student to basic mathematical modelling and computational skills for application in the business world.
ECS2601 Assignment 1 Semester 2 2018
This document contains guidelines, and explanations on how to answer the ECS2601 assignment 1 2018 S2 questions. For assistance whatsapp or call 0655053119 or email email@example.com
Notes on the motor pathways, descending pathways, corticospinal tract, and corticobulbar tracts as well as upper and lower motor neurons.
Notes on the extrapyramidal system, including the basal ganglia, the globus pallidus and the diseases of the extrapyramidal system.
Notes on the sensory pathways, include the arrangement of secondary pathways, first order neurons, second order neurons and third order neurons; thetracts are also included as well as injuries.
Notes on the medulla oblongata including the anterior and posterior surface structures and features, the nuclei in the medulla, and the tracts running through it.
Notes on the pons. Notes include features of the ventral and dorsal surfaces, the emerging cranial nerves, internal features of the basilar part and the tegmentum of the pons as well as the cranial nerve nuclei in the pons.
Notes on the midbrain. Notes include features on the ventral surface and the dorsal surface, the superior and inferior colliculus, the internal stuctures, the lateral lemniscus, the medial longitudinal fasciculus and the substantia nigra.
4. Introduction to R - basic statistical analysis
This session teaches you how to perform basic statistical analysis and a little bit of theory. The two main parts are 1) Standard deviations; how to with and without creating an object and then 2) Random samples and Type I errors; how to generate random data and how to manipulate it, what constitutes an error and so forth.
sd() and how to use it as well as sqrt()
multiplication operator (*)
how to simulate sample data using runif()
how to perform a t-test and the different kinds of t-tests using t.test()
how to create your own function using function()
how to create a matrix and why using as.matrix()
how to manipulate your function
LINK TO DATA IS PROVIDED
There are also about 13 questions (answers are supplied at the end)
Introduction to radiology. Types of imaging techniques: x-rays, fluoroscopy, interventional radiology- angiogram, angioplasty and venogram. Computer tomography (CT scan); Ultrasound and Magnetic Resosance Imaging (MRI scan).
The Endocrine System
Introduction to the endocrine system. Notes include the major endocrine glands and organs containing endocrine tissue, the hormones the glands release and the effects of those hormones on the body. The notes also include the endocrine disorders, prostaglandins and the feedback control of hormone release.