This document provides an introduction to statistics and biostatistics. It discusses key concepts including:
- The definitions and origins of statistics and biostatistics. Biostatistics applies statistical methods to biological and medical data.
- The four main scales of measurement: nominal, ordinal, interval, and ratio scales. Nominal scales classify data into categories while ratio scales allow for comparisons of magnitudes and ratios.
- Descriptive statistics which organize and summarize data through methods like frequency distributions, measures of central tendency, and graphs. Frequency distributions condense data into tables and charts. Measures of central tendency include the mean, median, and mode.
This presentation includes an introduction to statistics, introduction to sampling methods, collection of data, classification and tabulation, frequency distribution, graphs and measures of central tendency.
This presentation gives you a brief idea;
-definition of frequency distribution
- types of frequency distribution
-types of charts used in the distribution
-a problem on creating types of distribution
-advantages and limitations of the distribution
Introduction to Statistics - Basic concepts
- How to be a good doctor - A step in Health promotion
- By Ibrahim A. Abdelhaleem - Zagazig Medical Research Society (ZMRS)
This presentation is about Basic Statistics-related to types of Data-Qualitative and Quantitative, and its Examples in everyday life- By: Dr. Farhana Shaheen
This presentation includes an introduction to statistics, introduction to sampling methods, collection of data, classification and tabulation, frequency distribution, graphs and measures of central tendency.
This presentation gives you a brief idea;
-definition of frequency distribution
- types of frequency distribution
-types of charts used in the distribution
-a problem on creating types of distribution
-advantages and limitations of the distribution
Introduction to Statistics - Basic concepts
- How to be a good doctor - A step in Health promotion
- By Ibrahim A. Abdelhaleem - Zagazig Medical Research Society (ZMRS)
This presentation is about Basic Statistics-related to types of Data-Qualitative and Quantitative, and its Examples in everyday life- By: Dr. Farhana Shaheen
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The standard deviation is a measure of the spread of scores within a set of data. Usually, we are interested in the standard deviation of a population.
If you happen to like this powerpoint, you may contact me at flippedchannel@gmail.com
I offer some educational services like:
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The standard deviation is a measure of the spread of scores within a set of data. Usually, we are interested in the standard deviation of a population.
Statistics is the science of dealing with numbers.
It is used for collection, summarization, presentation and analysis of data.
Statistics provides a way of organizing data to get information on a wider and more formal (objective) basis than relying on personal experience (subjective).
Classify data into Qualitative and Quantitative data.
Scales of Measurement in Statistics.
Nominal, Ordinal, Ratio and Interval
Prepare table or continuous frequency distribution.
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2. INTRODUCTION
The word statistics conveys a variety of
meaning to people in different walks of life.
2R Dh@ker, Lecturer, PCNMS
The word statistics comes from the Italian
words Statista
( Statement).
3. CONT…INTRODUCTION
The German word Statistik
3
RDh@ker,Lecturer,PCNMS
Political state
The word Statistics today refers to either
quantitative information or a method of
delaling with quantitative or qualitative
information.
4. DEFINITION
“Statistics is defined as collection, Presentation,
analysis and interpretation of numerical data”.
Acc. Croxton & cowden
4
RDh@ker,Lecturer,PCNMS
statistics is the sciences and art of dealing with
figure and facts.
5. 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.
5
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6. Biostatistics is the branch of statistics
applied to biology or medical sciences.
Biostatistics is also called “Biometry”
6
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In Greek, Bios Life
Metron
So, it is measurement of life
Measured
7. USE & APPLICATION OF STATISTICS
It facilitates comparisons
It simplifies the message of figure
It helps in formulating and testing hypothesis
It help in prediction
7
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8. SCALE OF MEASUREMENT
Measurement is the process of assigning numbers
or labels to objects, persons, states, or events in
accordance with specific rules to represent
quantities or qualities of attributes.
We do not measure specific objects, persons, etc.,
we measure attributes or features that define them.
8
RDh@ker,Lecturer,PCNMS
11. There must be distinct classes but these classes
have no quantitative properties. Therefore, no
comparison can be made in terms of one category
being higher than the other.
For example - there are two classes for the
variable gender - males and females. There are
no quantitative properties for this variable or
these classes and, therefore, gender is a nominal
variable.
11
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12. CONT…NOMINAL SCALE
Sometimes numbers are used to designate
category membership-
Example:
Country of Origin
1 = United States 3 = Canada
2 = Mexico 4 = Other
12
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13. There are distinct classes but these classes have a
natural ordering or ranking. The differences can be
ordered on the basis of magnitude.
For example - final position of horses in a
thoroughbred race is an ordinal variable. The horses
finish first, second, third, fourth, and so on. The
difference between first and second is not
necessarily equivalent to the difference between
second and third, or between third and fourth. 13
RDh@ker,Lecturer,PCNMS
Ordinal Scales
14. CONT…ORDINAL SCALES
Does not assume that the intervals between numbers
are equal
Example:
finishing place in a race
(first place, second place)
1 hour 2 hours 3 hours 4 hours 5 hours 6 hours 7 hours 8 hours
1st place 2nd place 3rd place 4th place
14
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15. INTERVAL SCALES
It is possible to compare differences in magnitude,
but importantly the zero point does not have a
natural meaning. It captures the properties of
nominal and ordinal scales - used by most
psychological tests.
Designates an equal-interval ordering - The
distance between, for example, a 1 and a 2 is the
same as the distance between a 4 and a 5
15
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16. We can see that the same difference
exists between 10o C ( 50 F) and 20
degree C ( 68 F)
25 C ( 77F) and 35 C ( 95 F)
But we can not say that 20C is twice as
hot as a temperature of 10C
16
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17. RDh@ker,Lecturer,PCNMS
17
Example - Celsius temperature is an interval
variable. It is meaningful to say that 25 degrees
Celsius is 3 degrees hotter than 22 degrees Celsius,
and that 17 degrees Celsius is the same amount
hotter (3 degrees) than 14 degrees Celsius. Notice,
however, that 0 degrees Celsius does not have a
natural meaning. That is, 0 degrees Celsius does not
mean the absence of heat!
18. RATIO SCALES
It is the highest level for measurement
This level has all the three attributes:
Magnitude
Equal interval
Absolute zero point
It represent continuous values
18
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20. 30 Kg is thrice of 10 kg
20 cm is twice of 10 cm
8 hours is four time of 2 hours
20
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21. TYPES OF MEASUREMENT SCALES
(CONT.)
Each of these scales have different properties
(i.e., difference, magnitude, equal intervals, or
a true zero point) and allows for different
interpretations.
21
RDh@ker,Lecturer,PCNMS
22. The scales are listed in hierarchical order.
Nominal scales have the fewest measurement
properties and ratio having the most properties
including the properties of all the scales beneath
it on the hierarchy.
22
RDh@ker,Lecturer,PCNMS
TYPES OF MEASUREMENT SCALES (CONT.)
23. The goal is to be able to identify the type of
measurement scale, and to understand proper
use and interpretation of the scale.
23
RDh@ker,Lecturer,PCNMS
TYPES OF MEASUREMENT SCALES (CONT.)
24. B
o
b
G
e
n
e
S
a
m
PRIMARY SCALES OF MEASUREMENT
Scale
Nominal Symbols
Assigned
to Runners
Ordinal Rank Order
of Winners
Interval Performance
Rating on a
0 to 10 Scale
Ratio Time to
Finish, in
Seconds
3rd place 2nd place 1st place
Finish
Finish
3 7 9
15.2 14.1 13.4
24
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25. 26
RDh@ker,Lecturer,PCNMS
Scale Basic
Characteristics
Common
Examples
Marketing
Examples
Nominal Numbers identify
& classify objects
Social Security
nos., numbering of
football players
Brand nos.,
store types
Ordinal Nos. indicate the
relative positions of
objects but not the
magnitude of
differences
between them
Quality
rankings,
rankings of
teams in a
tournament
Preference
rankings,
market
position,
social class
Interval Differences
between objects
can be compared,
zero point is
arbitrary
Temperature
(Fahrenheit)
Celsius)
Attitudes,
opinions,
index nos.
Ratio Zero point is
fixed, ratios of
scale values can
be compared
Length, weight Age, sales,
income, costs
26. Descriptive statisticsuse to organize and summarize the data to draw
meaningful interpretations.
Descriptive statisticsdeal with the enumeration, organization and graphical
representation of data.
R Dh@ker, Lecturer, PCNMS
27
27. CONT…DESCRIPTIVE STATISTICS
Descriptive statistics includes-
Measures to condense data
Measures of central tendency
Measures of dispersion
Measures of relationship ( Correlation coefficient)
R Dh@ker, Lecturer, PCNMS
28
28. Measures to condense data
Frequency and percentage distribution through tabulation and graphic presentation.
Table
Graphsand diagrams
Percentages
R Dh@ker, Lecturer, PCNMS 29
29. Type
Frequency distributiontable
Contingency table
MultipleResponsetable
Miscellaneoustable
R Dh@ker, Lecturer, PCNMS
30
31. The following are the weight in kg 48
medical students. Construct the
frequency distribution table
50, 61, 70 71 63 34 75 80 45 56 57 58
60 62 72 78 48 50 63 64 67 52 52 54
55 56 57 70 71 72 73 64 65 66 67 62
63 65 52 60 54 56 58 57 61 81 82 80
32
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32. RELATIVE FREQUENCY
Relative frequency =
Class frequency
---------------------------
Total frequency
33
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33. FREQUENCY DENSITY OF A CLASS
Frequency density of a class=
frequency of the class
-------------------------------
width of the class
34
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36. Type
Bar diagram
Pie chart
Histogram
Frequency polygon
Line diagram
R Dh@ker, Lecturer, PCNMS
37
Cumulative frequency curve
Scattered diagram
Pictograms
Map diagrams
37. CONT…GRAPHS AND DIAGRAMS
Presentation of quantitative, continuous or measured
data is through graphs. The common graphs in use
are:-
Histogram
Frequency polygon
Frequency curve
Line chart or graph
Cumulative frequency diagram
Scatter or dot diagram
R Dh@ker, Lecturer, PCNMS
38
38. Presentation of qualitative , discrete or counted data is
through diagrams. The common diagrams in use are:-
Bar diagram
Pie diagram
Pictogram diagram
Map diagram or spot map
R Dh@ker, Lecturer, PCNMS
39
CONT…Graphs and diagrams
39. Measures of central tendency
Arithmeticmean
Median
Mode
Geometric mean
R Dh@ker, Lecturer, PCNMS
40
40. MEASUREMENT OF CENTRAL
TENDENCY
R Dh@ker, Lecturer, PCNMS 41
Sl. no Data level
Characteristics Measurement of central
tendency
1 Nominal
Measured on scale of
frequency of categories
Mode (Mo)
2 Ordinal
Measured on no scale but can
be ranked
Median (Md)
3 Interval
Measured on a scale with no
true zero
Mean (M)
4 Ratio
Measured on a scale with
absolute zero
Mean (M)