10 Questions
Explain the concept of quantitative data and provide examples of characteristics that fall under this category.
Quantitative data refers to data that can be quantified in definite units of measurement. Examples of characteristics that fall under this category include age, income, production, marks, pulse rate, weight, number of people living in a town, and number of students.
What is the role of data in statistical investigation in urban planning?
Data serve as the foundation stones and basic raw material obtained from a population or sample in relation to any activity of interest, phenomenon, or problem situation in statistical investigation under study of any area/site/town/city/district/state in urban planning.
How are data classified in statistics based on the kind of characteristics that are measured?
In statistics, data are classified into 2 broad categories based on the kind of characteristics that are measured: quantitative data and qualitative data.
Provide examples of characteristics that are measured directly and fall under the category of quantitative data.
Examples of characteristics that are measured directly and fall under the category of quantitative data include pulse rate, weight, number of people living in a town, and number of students.
What process is involved in obtaining data for statistical investigation in urban planning?
The process of obtaining data for statistical investigation in urban planning involves measuring, counting, and/or observing (reconnaissance survey) in the area/site/town/city/district/state under study.
Explain the concept of quantitative data in statistics with examples.
Quantitative data refers to characteristics that can be measured in definite units of measurement, such as age, income, production, and marks. These data yield quantifiable observations and are always represented by numbers as a result of counting or measuring attributes of a population.
What are the two broad categories into which data are classified in statistics?
The two broad categories into which data are classified in statistics are quantitative data and qualitative data.
Define 'data' in the context of statistical investigation in urban planning.
Data are the foundation stones and basic raw material obtained from a population or sample in relation to any activity of interest, phenomenon, or problem situation, and are derived as a result of the process of measuring, counting, and/or observing in urban planning.
Provide examples of characteristics that can be measured directly as quantitative data.
Examples of characteristics that can be measured directly as quantitative data include pulse rate, weight, number of people living in a town, and number of students.
How are quantitative data different from qualitative data in statistics?
Quantitative data can be quantified in definite units of measurement and yield quantifiable observations, while qualitative data refers to characteristics that are non-numeric and are often based on attributes, labels, or descriptors.
Test your knowledge of urban planning statistics with this quiz! Explore the basics of data collection, measurement, and observation, and enhance your understanding of statistical investigation in urban development.
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