ACTIVITY 5.1 1. Classify the following data as qualitative or quantitative: a beauty of a picture size of your shoe type of a car d. number of children living in a house blood type(group) colour of your skin 2. Classify the following variables as discrete or continuous: a size of a shirt number of members of a football club d price of a kilo of sugar heights of students in a class f C number of rooms in a house e life-time of an electric bulb The first sten in annlving process

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Chapter1: The Study Of Life
Section: Chapter Questions
Problem 16CTQ: Although the scientific method is used by most of the sciences, it can also be applied to everyday...
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АCTIVITY 5.1
1.
Classify the following data as qualitative or quantitative:
a
beauty of a picture
size of your shoe
type of a car
d.
number of children living in a house
e
colour of your skin
blood type(group)
Classify the following variables as discrete or continuous:
a
size of a shirt
number of members of a football club
d.
by
C
price of a kilo of sugar
number of rooms in a house
e
heights of students in a class f
life-time of an electric bulb
The first step in applying statistical methods is the collection of data; this is the process
of obtaining counts or measurements. The data obtained can be classified into two
types: qualitative or quantitative data.
Definition 5.1
Qualitative data is obtained when a given population or sample is classified in
accordance with an attribute that cannot be measured or expressed in numbers, while
Quantitative data is that obtained by assigning a real number to each member of the
population, under study.
Example 1 Classify the following data as qualitative or quantitative:
Honesty, height, weight, intelligence, income, efficiency, width, sex, pressure, distance,
religion, social status.
Honesty, intelligence, efficiency, sex, religion and social status are qualitative,
while height, weight, income, width, pressure and distance are
quantitative.
Solution:
[If I.Qs (intelligent quotients) are used to measure intelligence, then it will be
quantitative.]
Definition 5.2
A number, which is used to describe the attribute and which can take different values
is called a variable.
For example, in your class the height, weight or age of different individuals varies, ar
can be expressed in numbers. Therefore, these quantities (height, weight, age,...)
variables.
Transcribed Image Text:АCTIVITY 5.1 1. Classify the following data as qualitative or quantitative: a beauty of a picture size of your shoe type of a car d. number of children living in a house e colour of your skin blood type(group) Classify the following variables as discrete or continuous: a size of a shirt number of members of a football club d. by C price of a kilo of sugar number of rooms in a house e heights of students in a class f life-time of an electric bulb The first step in applying statistical methods is the collection of data; this is the process of obtaining counts or measurements. The data obtained can be classified into two types: qualitative or quantitative data. Definition 5.1 Qualitative data is obtained when a given population or sample is classified in accordance with an attribute that cannot be measured or expressed in numbers, while Quantitative data is that obtained by assigning a real number to each member of the population, under study. Example 1 Classify the following data as qualitative or quantitative: Honesty, height, weight, intelligence, income, efficiency, width, sex, pressure, distance, religion, social status. Honesty, intelligence, efficiency, sex, religion and social status are qualitative, while height, weight, income, width, pressure and distance are quantitative. Solution: [If I.Qs (intelligent quotients) are used to measure intelligence, then it will be quantitative.] Definition 5.2 A number, which is used to describe the attribute and which can take different values is called a variable. For example, in your class the height, weight or age of different individuals varies, ar can be expressed in numbers. Therefore, these quantities (height, weight, age,...) variables.
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