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Introduction to
Statistics
Engr. Maria Romina P. Angustia
-Professor-
What is Statistics?
This refers to the techniques by
which quantitative data are
collected, presented, organized,
analyzed and interpreted. The focal
point of modern statistical analysis
is decision making.
Two Kinds of Statistics
• Descriptive Statistics- this includes
the techniques which are concerned
with summarizing and describing
numerical data. This method can
either be graphical or computational.
It is used to present and analyze
information in a convenient, usable
and understandable form.
• Inferential Statistics – the technique
by which decisions about a statistical
population are made based only on
a sample having been observed or a
judgement having been obtained.
This kind of statistics is concerned
more with generalizing information
or making inference about
population.
• Population- it is the totality of all the
actual or concernable objects of a certain
class under consideration. It is a
complete set of individuals, objects or
measurements having some common
observable characteristics.
• Sample-it is a finite number of objects
selected from a population.
• Data-the statistical facts, historical facts,
principles, opinions and items of various
sources like scores, ages, IQ and income.
Kinds of Data
• Continous Data- this arise from measurement
of a continous variable.
Example: weights of children, school
achievement, IQ, heights of children, etc.
• Discrete Data-they are made up of items the
values of which have been obtained by
counting.
Example: school enrolment, number of books
Basic Foundation:
• Rounding off Numbers
• Defining Significant Digits
• Graphing & Interpreting Graphs
Rounding off Numbers:
• If the digit to be dropped is less than 5,
do not change the digit preceding it.
• If the digit to be dropped is more than 5,
increase the last digit to be retained by 1.
• When the digit to be rounded off is
ending in 5, do not change the last digit
to be retained if it is even; increase it by
1 if it is odd.
Rules in Defining Significant Digits:
• Every digit other than zero in a rounded
number.
• Zeros are not significant when,
a. They are at the rightmost non-zero digit and
the left of the decimals point.
b. They are at the extreme left of the leftmost
non-zero digit of a number whose value is
less than 1.
Statistical Presentation of Graphs
a. Bar Graph
b. Line Graph
c. Pie Chart
d. Ratio Chart
e. Statistical Map
f. Pictograph
Median (Ungrouped Data)
Derived from the Latin word
“medius” meaning middle. It is the
middle number of a set of numbers
arranged in numerical order.
Mode
Value which occurs most frequently in
a given distribution.
a. Unimodal-distribution with only 1
mode
b. Bimodal-distribution with 2 modes
c. Multimodal-distribution with more
than 2 modes
Mean (Ungrouped Data)
Sometimes called the arithmetic
mean (AM) is popularly known as
the average. It is the sum of scores
divided by the number of cases.
Range (Ungrouped Data)
The difference between the
largest and the smallest values
of a set.

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Statistics Introduction

  • 1. Introduction to Statistics Engr. Maria Romina P. Angustia -Professor-
  • 2. What is Statistics? This refers to the techniques by which quantitative data are collected, presented, organized, analyzed and interpreted. The focal point of modern statistical analysis is decision making.
  • 3. Two Kinds of Statistics • Descriptive Statistics- this includes the techniques which are concerned with summarizing and describing numerical data. This method can either be graphical or computational. It is used to present and analyze information in a convenient, usable and understandable form.
  • 4. • Inferential Statistics – the technique by which decisions about a statistical population are made based only on a sample having been observed or a judgement having been obtained. This kind of statistics is concerned more with generalizing information or making inference about population.
  • 5. • Population- it is the totality of all the actual or concernable objects of a certain class under consideration. It is a complete set of individuals, objects or measurements having some common observable characteristics. • Sample-it is a finite number of objects selected from a population. • Data-the statistical facts, historical facts, principles, opinions and items of various sources like scores, ages, IQ and income.
  • 6. Kinds of Data • Continous Data- this arise from measurement of a continous variable. Example: weights of children, school achievement, IQ, heights of children, etc. • Discrete Data-they are made up of items the values of which have been obtained by counting. Example: school enrolment, number of books
  • 7. Basic Foundation: • Rounding off Numbers • Defining Significant Digits • Graphing & Interpreting Graphs
  • 8. Rounding off Numbers: • If the digit to be dropped is less than 5, do not change the digit preceding it. • If the digit to be dropped is more than 5, increase the last digit to be retained by 1. • When the digit to be rounded off is ending in 5, do not change the last digit to be retained if it is even; increase it by 1 if it is odd.
  • 9. Rules in Defining Significant Digits: • Every digit other than zero in a rounded number. • Zeros are not significant when, a. They are at the rightmost non-zero digit and the left of the decimals point. b. They are at the extreme left of the leftmost non-zero digit of a number whose value is less than 1.
  • 10. Statistical Presentation of Graphs a. Bar Graph b. Line Graph c. Pie Chart d. Ratio Chart e. Statistical Map f. Pictograph
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17. Median (Ungrouped Data) Derived from the Latin word “medius” meaning middle. It is the middle number of a set of numbers arranged in numerical order.
  • 18. Mode Value which occurs most frequently in a given distribution. a. Unimodal-distribution with only 1 mode b. Bimodal-distribution with 2 modes c. Multimodal-distribution with more than 2 modes
  • 19. Mean (Ungrouped Data) Sometimes called the arithmetic mean (AM) is popularly known as the average. It is the sum of scores divided by the number of cases.
  • 20. Range (Ungrouped Data) The difference between the largest and the smallest values of a set.