LIAQUAT UNIVERSITY OF MEDICAL AND HEALTH SCIENCES (LUMHS)
Post RN BS Nursing Program
Course
Syllabus
Title : Biostatistics
Course
No. : 717
Time : 3
Credits
Placement : Year-II,
Semester-I (Overall Semester – III)
COURSE DESCRIPTION:
This
course is designed to provide post RN students with the knowledge and skills to
present and analyze data I community and make an inference/ decision about a
given population. In addition, students will be introduced to basic concepts of
Biostatistics.
OBJECTIVES:
At the
completion of the course, the participants will be able to;
ü Illustrate
the use of scientific reasoning.
ü Identify
different kinds of data.
ü Demonstrate
how to organize and present data.
ü Illustrate
steps involved in calculating large samples.
ü Understand
methods of statistical inference.
ü Compute
a statistical test to compare the difference of two means.
TEACHING/ LEARNING STRATEGIES:
Lectures,
Small group discussion, Presentation, tutorial and Self studies
EVALUATION CRITERIA:
Assignment
10%
Internal
evaluation 10%
Final
Exam 80%
References:
Saunders,
B. D. & Trapp, R. C. (1994). Basic and clinical biostatistics. (2nd. Ed.) New Delhi: Prentice – Hall
COURSE CONTENT
BIOSTATISTICS
Unit – I
Introduction to Biostatistics
·
Definition of Biostatistics
·
Scope of biostatistics in health care
·
Logic of scientific reasoning: inductive and
deductive
Unit – II
Scales of measurement
·
Nominal
·
Ordinal
·
Numerical
·
Ratio
·
Percentages, proportions, rates
Unit – III
Presenting data
·
Tables and graphs for nominal and ordinal data
(frequency contingency table, bar chart)
·
Tables and graphs for numerical data
·
Stem and leaf plot
·
Frequency tables
·
Histograms, box and whisker plots and frequency
·
Polygons
Unit – IV
Summarizing Data
·
Central tendency
·
Mean medial and mode
·
Measures of spread (dispersion)
·
Normal distribution
·
Range
·
Standard Deviation
·
Percentiles
·
When to use different measures of dispersion
·
Types of measures to use with nominal data
Unit – V
Making Inference from data
·
Z- Test
·
Conflict interval
·
P value
·
t – test
·
Chi- square test
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