Answer:
The question is incomplete, the complementary part is left on the graph and the requested ones are answered
Differences between inferential and descriptive statistics:
1. We know that in descriptive statistics the main objective is only to describe data from the population, in inferential what is sought is to analyze data to draw conclusions from them
2. In descriptive statistics, the process involves collecting information, organizing it, and displaying data that are relevant or significant. In inferential statistics, the data is taken and processed to evaluate hypotheses and draw conclusions regarding future results.
3. the representation in the descriptive statistics is made by means of diagrams or tabulations and the result in the inferential one is given in probability
4. When we have a situation, descriptive statistics allows us to describe it and, in inferential, we obtain the probability that the event will occur.
descriptive statistics is based on known data, inferential it is intended to project future situations, which allows with all the previous answers to generate an important panorama for the development of engineering and its true application in a real field
-. an example is the following
Of 350 people taken at random in Madrid, Spain, 280 had the surname Martinez, we can take this situation to the descriptive statistic as follows:
80% of people carry the surname Martinez
We have, then, the result of a small sample of a city, not of the entire population of Spain, so the result has been generalized and we refer to a country from a small sample, however we must verify it and take it to a statistic inferential