Part –B : Statistics
Hours of Instruction
Theory 50 Hours
Practical 50 Hours
Total : 100 Hours
Course Description
At the end of the course, the students will be able to develop an
understanding of the statistical methods and apply them in conducting
research studies in nursing.
General Objectives
At the end of the course the students will be able to:
1. Explain the basic concepts related to statistics
2. Describe the scope of statistics in health and nursing
3. Organize, tabulate and present data meaningfully.
4. Use descriptive and inferential statistics to predict results.
5. Draw conclusions of the study and predict statistical significance of the
results.
6. Describe vital health statistics and their use in health related research.
7. Use statistical packages for data analysis
Unit Hours
Theory Practical
Course Content
I 7 4 Introduction:
�� Concepts, types, significance and scope of statistics,
meaning of data,
�� sample, parameter
�� type and levels of data and their measurement
�� Organization and presentation of data – Tabulation of
data;
�� Frequency distribution
�� Graphical and tabular presentations.
II 4 4 Measures of central tendency:
�� Mean, Median, Mode
III 4 5 Measures of variability;
�� Range, Percentiles, average deviation, quartile deviation,
standard deviation
IV 3 2 Normal Distribution:
�� Probability, characteristics and application of normal
probability curve; sampling error.
Unit Hours
Theory Practical
Course Content
V 6 8 Measures of relationship:
�� Correlation – need and meaning
�� Rank order correlation;
�� Scatter diagram method
�� Product moment correlation
�� Simple linear regression analysis and prediction.
VI 5 2 Designs and meaning:
�� Experimental designs
�� Comparison in pairs, randomized block design, Latin
squares.
VII 8 10 Significance of Statistic and Significance of difference
between two Statistics (Testing hypothesis)
�� Non parametric test – Chi-square test, Sign, median test,
Mann Whitney test.
�� Parametric test – ‘t’ test, ANOVA, MANOVA,ANCOVA
VIII 5 5 Use of statistical methods in psychology and education:
�� Scaling – Z Score, Z Scaling
�� Standard Score and T Score
�� Reliability of test Scores: test-retest method, parallel
forms, split half method.
IX 4 2 Application of statistics in health:
�� Ratios, Rates, Trends
�� Vital health statistics – Birth and death rates.
�� Measures related to fertility, morbidity and mortality
X 4 8 Use of Computers for data analysis
�� Use of statistical package.
Activities
• Exercises on organization and tabulation of data,
• Graphical and tabular presentation of data
• Calculation of descriptive and inferential statistics(chi square, t-test,
correlation)
• Practice in using statistical package
• Computing vital health statistics
Methods of Teaching:
• Lecture-cum-discussion
• Demonstration – on data organization, tabulation, calculation of
statistics, use of statistical package, Classroom exercises, organization
and tabulation of data,
Hours of Instruction
Theory 50 Hours
Practical 50 Hours
Total : 100 Hours
Course Description
At the end of the course, the students will be able to develop an
understanding of the statistical methods and apply them in conducting
research studies in nursing.
General Objectives
At the end of the course the students will be able to:
1. Explain the basic concepts related to statistics
2. Describe the scope of statistics in health and nursing
3. Organize, tabulate and present data meaningfully.
4. Use descriptive and inferential statistics to predict results.
5. Draw conclusions of the study and predict statistical significance of the
results.
6. Describe vital health statistics and their use in health related research.
7. Use statistical packages for data analysis
Unit Hours
Theory Practical
Course Content
I 7 4 Introduction:
�� Concepts, types, significance and scope of statistics,
meaning of data,
�� sample, parameter
�� type and levels of data and their measurement
�� Organization and presentation of data – Tabulation of
data;
�� Frequency distribution
�� Graphical and tabular presentations.
II 4 4 Measures of central tendency:
�� Mean, Median, Mode
III 4 5 Measures of variability;
�� Range, Percentiles, average deviation, quartile deviation,
standard deviation
IV 3 2 Normal Distribution:
�� Probability, characteristics and application of normal
probability curve; sampling error.
Unit Hours
Theory Practical
Course Content
V 6 8 Measures of relationship:
�� Correlation – need and meaning
�� Rank order correlation;
�� Scatter diagram method
�� Product moment correlation
�� Simple linear regression analysis and prediction.
VI 5 2 Designs and meaning:
�� Experimental designs
�� Comparison in pairs, randomized block design, Latin
squares.
VII 8 10 Significance of Statistic and Significance of difference
between two Statistics (Testing hypothesis)
�� Non parametric test – Chi-square test, Sign, median test,
Mann Whitney test.
�� Parametric test – ‘t’ test, ANOVA, MANOVA,ANCOVA
VIII 5 5 Use of statistical methods in psychology and education:
�� Scaling – Z Score, Z Scaling
�� Standard Score and T Score
�� Reliability of test Scores: test-retest method, parallel
forms, split half method.
IX 4 2 Application of statistics in health:
�� Ratios, Rates, Trends
�� Vital health statistics – Birth and death rates.
�� Measures related to fertility, morbidity and mortality
X 4 8 Use of Computers for data analysis
�� Use of statistical package.
Activities
• Exercises on organization and tabulation of data,
• Graphical and tabular presentation of data
• Calculation of descriptive and inferential statistics(chi square, t-test,
correlation)
• Practice in using statistical package
• Computing vital health statistics
Methods of Teaching:
• Lecture-cum-discussion
• Demonstration – on data organization, tabulation, calculation of
statistics, use of statistical package, Classroom exercises, organization
and tabulation of data,
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