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Branch  PHARMACY
Biostatistics And Research Methodology (BP801T)
DR. APJ ABDUL KALAM TECHNICAL UNIVERSITY
By
Dr. MANOJ KUMAR SHARMA
Associate Professor
I.T.S College of Pharmacy, MURADNAGAR
Lecture  1
Introduction
Contents
 Statistics,
 Biostatistics,
 Frequency distribution
Introduction
 The word statistics conveys a variety of
meaning to people in different walks of life.
 The word statistics comes from the Italian
words Statista
( Statement).
CONTINTRODUCTION
 The German word Statistik
Political state
 The word Statistics today refers to either
quantitative information or a method of
delaling with quantitative or qualitative
information.
DEFINITION
 Statistics is defined as collection,
Presentation, analysis and interpretation of
numerical data.Acc. Croxton & cowden
 Statistics is the sciences and art of dealing with
figure and facts.
WHAT IS STATISTICS?
 Statistics is a field of mathematical
sciences that deals with data.
 The word statistics is used both to
refer to a set of data and to a field of
study.
 It is concerned with making
decisions under uncertainties that
occur when the data are subjected to
variation.
Biostatistics
Biostatistics-a portmanteau word
made from biology and statistics
 Biostatistics is also called
Biometry
In Greek, Bios- Life
Metron- Measured
So, it is measurement of life
Biostatistics cont
Biostatistics is the branch of statistics
applied to biological or medical
sciences.
Biostatistics is the methods used in dealing
with statistics in the field of health
sciences such as biology, medicine,
nursing, public health etc
Biostatistics
It is the science which deals with
development and application of the most
appropriate methods for the:
Collection of data.
Presentation of the collected data.
Analysis and interpretation of the results.
Making decisions on the basis of such
analysis
Frequency Distribution
 It is a statistical method for summarizing
the data.
 A statistical data consist of a list of numbers
related to a research, among those numbers ,
few may be repeated twice and more than
twice.
 The repeating numbers in a data set is
termed as frequency; that frequencies are
listed in a table is known as frequency
distribution/table.
Objectives of Frequency Distribution
1-To estimate the frequencies of
the population .
2-To facilitate the analysis of
data.
3-To facilitate computation of
various statistical measures.
Components of Frequency Distribution
1-Class
Groups according to size of data.
2-Class limit
The smallest and largest possible
measurements in each classes.
*lower limit
*upper limit
Cont..
3. Class mark- It is also known as middle
value.
Class mark = 遜(Lower limit+ Upper
limit)
4. Class interval = (Upper limit- Lower
limit)
5. Class Frequency -The number
observations falling in each class.
6. Tally mark-Strokes against each frequency
observed.
x Frequency Tally
Marks
10-20 2 11
20-30 5 1111
30-40 5 1111
40-50 4 1111
Classes Class limit
Lower limit 40
Upper limit 50
Class mark
遜(lower +upper)
遜(40+50)
0.5*90=45
Frequency distribution types
1.Ungrouped
Frequency distribution These
datas not arranged in group,
these are individual series and
arranging in ascending order.
Example:
From the following ,make a ungrouped
frequency distribution.
11,12,5,3,11,13,17,13,5,5,11,5
11,12,5,3,11,13,17,13,5,5,11,5
X Frequency Tally
Marks
3 1 1
5 4 1111
11 3 111
12 1 1
13 2 11
17 1 1
Frequency Distribution types cont
2. Grouped frequency
distribution- It is based on
classes, forming frequency
distribution table.
Example:
From the following data
construct agrouped
frequency distribution.
3,8,5,2,15,16,13,12,10,19,18,11
cont(3,8,5,2,15,16,13,12,10,19,18,11)
Classes Frequency Tally
0-5 2 11
5-10 2 11
10-15 4 1111
15-20 4 1111
Uses of frequency distribution
 Managing and operating on
frequency tabulated data is much
simpler than operation on raw data.
 There are simple algorithms to
calculate median, mean, standard
deviation etc. from these tables.
 Statistical hypothesis testing is
founded on the assessment of
differences and similarities between
frequency distributions.
Cont.
 Some of the graphs that can be
used with frequency distributions
are histograms, line charts, bar
charts and pie charts.
 Frequency distributions are used
for both qualitative and
quantitative data.
THANK YOU

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Biostatistics Lecture 1 8th Sem B.Pharm AKTU

  • 1. Branch PHARMACY Biostatistics And Research Methodology (BP801T) DR. APJ ABDUL KALAM TECHNICAL UNIVERSITY By Dr. MANOJ KUMAR SHARMA Associate Professor I.T.S College of Pharmacy, MURADNAGAR Lecture 1 Introduction
  • 2. Contents Statistics, Biostatistics, Frequency distribution
  • 3. Introduction The word statistics conveys a variety of meaning to people in different walks of life. The word statistics comes from the Italian words Statista ( Statement).
  • 4. CONTINTRODUCTION The German word Statistik Political state The word Statistics today refers to either quantitative information or a method of delaling with quantitative or qualitative information.
  • 5. DEFINITION Statistics is defined as collection, Presentation, analysis and interpretation of numerical data.Acc. Croxton & cowden Statistics is the sciences and art of dealing with figure and facts.
  • 6. WHAT IS STATISTICS? Statistics is a field of mathematical sciences that deals with data. The word statistics is used both to refer to a set of data and to a field of study. It is concerned with making decisions under uncertainties that occur when the data are subjected to variation.
  • 7. Biostatistics Biostatistics-a portmanteau word made from biology and statistics Biostatistics is also called Biometry In Greek, Bios- Life Metron- Measured So, it is measurement of life
  • 8. Biostatistics cont Biostatistics is the branch of statistics applied to biological or medical sciences. Biostatistics is the methods used in dealing with statistics in the field of health sciences such as biology, medicine, nursing, public health etc
  • 9. Biostatistics It is the science which deals with development and application of the most appropriate methods for the: Collection of data. Presentation of the collected data. Analysis and interpretation of the results. Making decisions on the basis of such analysis
  • 10. Frequency Distribution It is a statistical method for summarizing the data. A statistical data consist of a list of numbers related to a research, among those numbers , few may be repeated twice and more than twice. The repeating numbers in a data set is termed as frequency; that frequencies are listed in a table is known as frequency distribution/table.
  • 11. Objectives of Frequency Distribution 1-To estimate the frequencies of the population . 2-To facilitate the analysis of data. 3-To facilitate computation of various statistical measures.
  • 12. Components of Frequency Distribution 1-Class Groups according to size of data. 2-Class limit The smallest and largest possible measurements in each classes. *lower limit *upper limit
  • 13. Cont.. 3. Class mark- It is also known as middle value. Class mark = 遜(Lower limit+ Upper limit) 4. Class interval = (Upper limit- Lower limit) 5. Class Frequency -The number observations falling in each class. 6. Tally mark-Strokes against each frequency observed.
  • 14. x Frequency Tally Marks 10-20 2 11 20-30 5 1111 30-40 5 1111 40-50 4 1111 Classes Class limit Lower limit 40 Upper limit 50 Class mark 遜(lower +upper) 遜(40+50) 0.5*90=45
  • 15. Frequency distribution types 1.Ungrouped Frequency distribution These datas not arranged in group, these are individual series and arranging in ascending order. Example: From the following ,make a ungrouped frequency distribution. 11,12,5,3,11,13,17,13,5,5,11,5
  • 16. 11,12,5,3,11,13,17,13,5,5,11,5 X Frequency Tally Marks 3 1 1 5 4 1111 11 3 111 12 1 1 13 2 11 17 1 1
  • 17. Frequency Distribution types cont 2. Grouped frequency distribution- It is based on classes, forming frequency distribution table. Example: From the following data construct agrouped frequency distribution. 3,8,5,2,15,16,13,12,10,19,18,11
  • 18. cont(3,8,5,2,15,16,13,12,10,19,18,11) Classes Frequency Tally 0-5 2 11 5-10 2 11 10-15 4 1111 15-20 4 1111
  • 19. Uses of frequency distribution Managing and operating on frequency tabulated data is much simpler than operation on raw data. There are simple algorithms to calculate median, mean, standard deviation etc. from these tables. Statistical hypothesis testing is founded on the assessment of differences and similarities between frequency distributions.
  • 20. Cont. Some of the graphs that can be used with frequency distributions are histograms, line charts, bar charts and pie charts. Frequency distributions are used for both qualitative and quantitative data.