In finance,
descriptive statistics play a critical role in helping analysts and investors understand the trends and patterns that exist within financial data. By summarizing and visualizing large amounts of data, descriptive statistics can provide insights that help investors make informed decisions.Descriptive statistics is an important tool for quantitative finance professionals. They help us to summarize data and to understand relationships between variables. There are two main types of descriptive statistics:
measures of central tendency and measures of dispersion. Measures of central tendency include the mean, median, and mode.
Descriptive statistics are used to describe data. Financial analysts often use descriptive statistics to summarize data related to the finances of companies. For example, a financial analyst who works for a retail company may calculate the following descriptive statistics during one business quarter:
Descriptive statistics describe the basic features of a population and how the data is organized. This enables analysts to see the characteristics of data and make sense of that data. For example, assume a computer shop sells electronic devices, and out of the 1,000 electronic devices sold, 300 are laptops.
Descriptive statistics are brief informational coefficients that summarize a given data set, which can be either a representation of the entire population or a sample of a population. Descriptive statistics are broken down into measures of central tendency and measures of variability (spread).
Decennial census
The Census in Pakistan, is a decennial census and a descriptive count of Pakistan's population on Census Day, and of their dwellings, conducted and supervised by the Pakistan Bureau of Statistics.
The 2017 Census in Pakistan marks the first census to take place in Pakistan since 1998.
The most recent census was the 2023 Pakistani census.
