Descriptive Statistics is the part of Statistics in charge of representing, analysing and summarizing the information contained in the sample.
After the sampling process, this is the next step in every statistical study and usually consists of:
Descriptive Statistics provides methods to describe the variables measured in the sample and their relations, but it does not allow to draw any conclusion about the population.
Now it is time to take the leap from the sample to the population and the bridge for that is Probability Theory.
Random variables The process of drawing a sample randomly is a random experiment and any variable measured in the sample is a random variable because the values taken by the variable in the individuals of the sample are a matter of chance.
Probability distribution of a continuous random variable Continuous random variables, unlike discrete random variables, can take any value in a real interval. Thus the range of a continuous random variables is infinite and uncountable.
Date: June 19, 2020
Descriptive Statistics and Regression Question 1 To see if the confinement due to COVID-19 has influenced the performance of a course, the number of failed subjects of each student in the current course and in the previous year course has been counted, obtaining the table below.
Degrees: Pharmacy, Biotechnology
Date: November 18, 2019
Question 1 In a population where the prevalence of a disease is 10% we apply a diagnostic test with a sensitivity 85%. What must be the minimum specificity of the test to diagnose the disease when the outcome of the test is positive?