Statistics is one of the areas of mathematics that most appear in ENEM and is fundamental for understanding various social, economic and natural phenomena. It is the science dedicated to the collection, analysis and interpretation of data, providing a quantitative view on a given subject. At ENEM, statistics questions usually involve interpretation of graphs, calculation of measures of central tendency (mean, mode and median) and measures of dispersion (variance and standard deviation).
To begin with, it is important to understand that statistics can be divided into two broad areas: descriptive statistics and inferential statistics. Descriptive statistics is the part dedicated to the organization, summary and presentation of data in an informative way. Inferential statistics, on the other hand, is the part dedicated to the analysis and interpretation of data, allowing predictions or inferences to be made about a population from a sample.
One of the fundamental concepts of statistics is the mean, which is the sum of all values in a data set divided by the number of elements in that set. For example, if we have a student's grades in five tests (7, 8, 9, 6 and 10), the average of these grades will be (7+8+9+6+10)/5 = 8. The average is a measure of central tendency that indicates the "typical" value of a data set.
Another measure of central tendency is the median, which is the value that separates the upper and lower half of a data set. To find the median, you need to arrange the data in ascending or descending order. If the number of elements is odd, the median will be the central value. If the number of elements is even, the median is the average of the two central values. In the example above, the median of the student's grades will be 8.
The mode is the measure of central tendency that indicates the most frequently occurring value in a data set. In the student grades example, there is no mode, as all grades appear only once.
Measures of dispersion, on the other hand, indicate the degree of variation or dispersion of the data. The variance is the mean of the squares of the differences between each value and the mean of the data set. The standard deviation is the square root of the variance and indicates how spread out the data are around the mean. The greater the standard deviation, the greater the data dispersion.
In ENEM, it is common to find questions involving the interpretation of graphs and tables. It is important to be able to identify the different types of graphs (bars, lines, sectors, etc.) and understand what each one of them represents. In addition, knowing how to calculate and interpret measures of central tendency and dispersion is essential, as they provide valuable information about the data.
In summary, statistics is a powerful tool for understanding the world around us. Mastering statistical concepts and techniques is essential to perform well in ENEM and in many other areas of life.
