Below are the stages for Drawing statistical inferences.

A. Sample

B. Population

C. Making Inference

D. Data tabulation

E. Data Analysis

Choose the correct answer from the options given below:

Key Points

• The stages of drawing statistical inferences are: 
• Stage I: (B) Identification of population: The population refers to the entire group of individuals or objects that possess a particular characteristic or feature of interest to the researcher. For example, if a researcher is interested in studying the average height of all people in a country, the population would be all people in that country.
• Stage II: (A) Sample: The group of the population may be too large or too costly to study in its entirety. so researchers often select a smaller subset of the population, known as a sample, to gather data from. In the above example, the researcher might take a sample of 1,000 people from the country to estimate the average height of the population.
• Stage III: (D) Data tabulation: Tabulation is another important stage where the sample data is arranged in a systemic manner that helps researchers to analyze in a better way. 
• Stage IV: (E) Data Analysis: Data is analyzed in this stage. Data analysis refers to the process of systematically examining and interpreting data using various statistical and analytical methods in order to derive insights, identify patterns, and make informed decisions. 
• Stage V: (C) Making Inference: This is the final and last stage of drawing an inference from available information or data to draw conclusions or make predictions about a particular situation or phenomenon that is not directly observed or measured. Inference is a key aspect of scientific research, as it allows researchers to draw meaningful conclusions from data and make predictions about future outcomes.

Hence, B, A, D, E, and C is the correct order of the stages for drawing statistical inferences