Statistic is a measured or counted fact, while statistics, also called data, are stated in more than one figure and collected from experiments, records, and surveys
Statistics involves the collection of data, tabulation, analysis, and interpretation of quantitative information, making it a branch of science used in dealing numerically by counts or measurements
Biostatistics is the application of statistical techniques to scientific research in health-related fields, including medicine, biology, and public health, and the development of new tools to study these areas
Biostatistics is also known as biometry, which means Biological Measurement or Measurement of Life
Statistics is used in various fields such as medical, agricultural, economical, mathematical, and biostatistics
Biostatistics is used in health statistics, medical statistics, and vital statistics, studying defects, injuries, diseases, drug efficacy, serum, line of treatment, births, marriages, and deaths
Descriptive statistics involve organizing summaries of collected data for orderly presentation and conclusion, including tabulation, graphical presentation, and measures of central tendency, dispersion, and location
Inferential statistics draw conclusions about a target population based on results from a sample population, involving methods to make generalizations or conclusions
Two types of data collected are primary data, collected by a particular person or organization, and secondary data, collected by someone else but can be used by the investigator
Quantitative data is data with a natural numeric scale, subdivided into interval and ratio data, while qualitative data measures characteristics without a natural numeric scale, subdivided into nominal and ordinal data
Variable is a characteristic that varies from one biological entity to another, with various measurements like ratio scale, interval scale, and ordinal scale
Ratio scale has a constant size interval and true zero point, including measurements like weights, volumes, capacities, rates, and lengths of time
Interval scale has a constant interval size but not a zero, like the common temperature scales Celsius and Fahrenheit
Ordinal scale classifies variables by quality rather than quantity
Two main branches of statistics are descriptive statistics and inferential statistics
Data types are classified into qualitative and quantitative, with qualitative data further divided into nominal and ordinal data, and quantitative data further divided into discrete and continuous data
Discrete data can only take on certain values, like the number of people in a room, while continuous data can take on any value within a certain range, like the temperature outside
Statistical methods involve the collection, presentation, analysis, and interpretation of numerical data
Steps in statistical methods:
Collection of Data: careful planning is essential before collecting data
Presentation of Data: data should be presented in a suitable form for further analysis
Analysis of Data: includes measures of central tendencies, dispersion, correlation, and regression
Interpretation of Data: drawing conclusions from the collected data
Measures of central tendency:
Mean: average
Median: positional average (middle value)
Mode: most repeated value
Measures of variability or measures of dispersion include range, standard deviation, mean deviation, quartile deviation, variance, and coefficient of variation
Correlation describes the degree of relationship between two variables and can be positive, negative, perfectly positive, perfectly negative, zero, or linear
Biometry means Biological Measurement or Measurement of Life
Health Statistics is used in Public Health or Community Health
Medical Statistics is used in medicine when we study defect, injury, disease, efficacy of drug, serum, line of treatment etc.
Vital statistics is used in population related study, studies the vital events like births, marriages and deaths
Who said that a statistical method means "the collection, presentation, analysis and interpretation of numerical data"?