There are many possible graphs which can be used to represent data: the choice of graph depends on the nature of the data and what aspects are to be highlighted. It is also possible to represent data in a tabular form.
Some people find it easier to work with images (graphs) whereas there are those who find graphs difficult but much prefer tables.
Data in statistics is typically represented in numerical form, such as through charts, tables, or graphs. It can also be described using measures of central tendency (mean, median, mode) and measures of dispersion (range, variance, standard deviation). Data is used to generate insights, test hypotheses, and make informed decisions.
Numeric data refers to any data that is represented as numerical values, such as integers, decimals, or fractions. This type of data is used for quantitative analysis and calculations in various fields such as mathematics, statistics, and science. Numeric data can be manipulated and processed mathematically to uncover patterns, trends, and relationships within the data.
Ungrouped data in statistics refers to raw, individual data points that have not been sorted or organized into any specific groups or categories. This type of data is often presented in a list format and may require further analysis or manipulation to draw meaningful insights or conclusions.
Divorce statistics for Papua New Guinea are not readily available. Data collection on divorce rates may be limited or not consistently reported. It is advisable to consult official government sources or studies for the most accurate information on divorce statistics in Papua New Guinea.
Some common types of secondary data include statistics, company reports, academic papers, government publications, and market research reports. These sources are typically collected by other individuals or organizations and can be used to support research, analysis, or decision-making.
The National Statistics Office (NSO) in Iligan City is a government agency responsible for collecting, compiling, analyzing, and publishing statistical information related to the city's population, economy, and other relevant data. It plays a crucial role in providing accurate and reliable data for development planning and policy-making purposes.
ways of presenting data in statistics
In statistics, cases are comprised of the data that is being studies. The cases in statistics can be updated frequently as the data changes.
Quantitative data.
Descriptive statistics is a summary of data. Inferential statistics try to reach conclusion that extend beyond the immediate data alone.
All statistics are data because all statistics are formed of numbers and numbers are a type of data (numrical). But not all data is statistics because not all data is numbers, it can also be words, pictures etc. It's like saying all apples are fruit but all fruit are not apples.
The answer is generally no. I note there is no hard and fast definition of the field of statistics. The definition of the field or discipline of statistics is not to reduce the number of values in the set of collected data. An objective of statistics is to characterize or add meaning to the collected data, through calculated values of the data. In this sense, statistics summarizes the data.
how is data collected and used for the purpose of national statistics
Numeric data refers to any data that is represented as numerical values, such as integers, decimals, or fractions. This type of data is used for quantitative analysis and calculations in various fields such as mathematics, statistics, and science. Numeric data can be manipulated and processed mathematically to uncover patterns, trends, and relationships within the data.
Data is considered to be raw facts or statistics. Data is raw and unorganized facts. Raw data is also called primary data.
descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.
descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.
Descriptive and Inferential:Descriptive statistics describe the data set.Inferential statistics use the data to draw conclusions about the population.