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Anesthesia
| Institution | Kenye Medical Training college |
| Course | HND Anaesthesia |
| Year | 1st Year |
| Semester | Unknown |
| Posted By | Tedd |
| File Type | |
| Pages | 139 Pages |
| File Size | 659.3 KB |
| Views | 3624 |
| Downloads | 0 |
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MCQ pharmacology
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AMS 308 Lecture 4: THE RANDOMIZED COMPLETE BLOCK DESIGN
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In any experiment, variability arising from a nuisance factor can affect the results.
Generally, we define a nuisance factor as a design factor that probably has an effect
on the response, but we are not interested in that effect.
8 Pages
2948 Views
1 Downloads
644.64 KB
AMS 308 Lecture 5: THE LATIN SQUARE DESIGN
Suppose that an experimenter is studying the effects of five different formulations of
a rocket propellant used in aircrew escape systems on the observed burning rate.
Each formulation is mixed from a batch of raw material that is only large enough for
five formulations to be tested.
6 Pages
1987 Views
2 Downloads
690.8 KB
AMS 309 Lecture 1: Probability Generating Functions
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A mathematical model which specifies complete probability distribution of the number of individuals in a given system at each point of time is a stochastic model.
9 Pages
3736 Views
3 Downloads
452.97 KB
AMS 309 Lecture 2: Discrete Branching Process
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Suppose that one particle can produce a random number of k new particles. Each of the
new particles produces another random number of new particles. We assume that the
particles act independently of each other and that every particle has a probability pk of
producing k new particles (for k = 0, 1, 2, , . . ).
7 Pages
2452 Views
2 Downloads
408.88 KB
AMS 309 Lecture 3: Markov Chains
We consider a special case where the outcome of any trial depends on the outcome of the directly preceding trial, and only on it. A stochastic process with this property is referred to as a Markov Chain (or a Markov process).
12 Pages
1963 Views
2 Downloads
503.64 KB
AMS 309 Lecture 4: Absorbing Markov Chains and Random Walk ModelS
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An absorbing Markov Chain contains only absorbing and transient states. If the number of states is finite, a Markov process starting from any transient state will eventually end in one of the absorbing states. Suppose that there are s absorbing states and t transient states so that the transition matrix P is order (s + t).
10 Pages
3046 Views
2 Downloads
463.66 KB
AMS 309 Lecture 5: Birth and Death Processes
In this Chapter, we develop probability models for some special cases of birth-and –death process involving the population size within a given system at time t.
The probability generating function can be used to analyze the process in the case where the actual probability distribution cannot be obtained. We also obtain deterministic models corresponding to the given probability models.
14 Pages
1984 Views
2 Downloads
483.81 KB
ASC 407: SOCIOLOGY OF WORK & INDUSTRY
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This course will provide you with an introduction to the sociology of work. It is designed to provide you with a broad overview while giving emphasis to specific topics in detail. It is beyond the scope of this unit to cover the field of work and industry in entirety.
111 Pages
2973 Views
1 Downloads
1.57 MB
AUDITING AND ASSURANCE REVISION KIT
Given adequate and focussed preparation, this kit should be useful in enabling any student preparing for examinations in Auditing and related courses to pass with good grades in the exams.
798 Pages
516 Views
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4.13 MB
EDUC120: PSYCHOLOGY
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Initially psychology was a branch of philosophy that explained human nature from metaphysical (unscientific)
perspective. For example, with this definition a parent would say that his child is not doing well in class
because he is being cursed. Yet a more realistic explanation could be from a variety of sources such as social
problems and poor teaching methods. The word psychology was derived from two Greek words (1 ) psyche -
mind, soul, spirit and (2) logos - the study of-----. Therefore, psychology was initially defined as "The study of
the mind
76 Pages
3532 Views
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1.71 MB