You can apply descriptive statistics to one or many datasets or variables. A standardized test statistic for a hypothesis test is the statistic that is formed by subtracting from the statistic of interest its mean and dividing by its standard deviation. You will see these concepts repeated in the statistical exercises, so you are one step closer to knowing how to solve your exercise.Let us now look at the types of statistical variables that exist according to the way their values are expressed. Include those population element in the sample whose number has been selected. 2. To begin to understand statistical exercises, you need to know perfectly these basic statistical concepts and know at all times what they are asking you.We are going to imagine that we are in a school with 200 students and a statistical study needs to be carried out on the students who pass mathematics in one year.With respect to the elements of the study the basic concepts of statistics are:On the other hand, in reference to the results obtained in the study we have:All the elements we will perform in the study are called population.In our example, the population is the set of all students, that is, the 200 students.You should not confuse this concept with the population of a city for example. In our example, the population is the set of all students, that is, the 200 students. Vídeos de corta duración con explicaciones concretas.This website uses cookies to provide you with the best browsing experience.This website uses cookies so that we can provide you with the best user experience possible. Inferential statistics enables you to make an educated guess about a population parameter based on a statistic computed from a sample randomly drawn from that population (see Figure 1). Then, we can have two different values for each data:It is called data to each one of the values obtained after carrying out the statistical study and variable to the type of data, which are a certain characteristic of the population (number of children, height, weight, colour, profession, etc).For example, we start by studying 3 students and we get these data:We have 3 data and each of the data can take 2 values (“Pass” or “Fail”). In statistics and quantitative research methodology, a sample is a set of individuals or objects collected or selected from a statistical population by a defined procedure. The quantitative approachdescribes and summarizes data numerically. Population are all the elements to which we are going to make a study, regardless of what it is, It is decided that of the 200 students, only 50 will be chosen for a series of questions. For example, New York is a member or element of the sample. Other examples of variables could be number of students who graduate from college, income of senior citizens, types of health insurance plans people enrolled in.You can use any letter of the alphabet to represent a variable.