Answer :
Answer:
a. Population: In statistics, a population refers to the entire group of individuals or items that we are interested in studying. For example, if we are studying the average height of all adults in a country, the population would include every adult in that country.
b. Sample: A sample is a subset of the population that is selected for study. It is used to make inferences or generalizations about the entire population. For instance, if we are studying the average income of households in a city, we might select a random sample of 500 households from the entire city population.
c. Parameter: A parameter is a numerical value that summarizes a characteristic of a population. For example, the average age of all students in a school is a parameter.
d. Statistic: A statistic is a numerical value that summarizes a characteristic of a sample. For instance, the average score of a group of students on a test is a statistic.
e. Statistical inference: Statistical inference involves using data from a sample to make predictions or decisions about a population. It allows us to draw conclusions or make generalizations about a population based on the information obtained from a sample.
