Measures of spread help us to summarize how spread out these scores are. However, not all students will have scored 65 marks. For example, the mean score of our 100 students may be 65 out of 100. Measures of spread: these are ways of summarizing a group of data by describing how spread out the scores are. You can read about measures of central tendency here. We can describe this central position using a number of statistics, including the mode, median, and mean. In this case, the frequency distribution is simply the distribution and pattern of marks scored by the 100 students from the lowest to the highest. Typically, there are two general types of statistic that are used to describe data: Measures of central tendency: these are ways of describing the central position of a frequency distribution for a group of data. Descriptive Statistics Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data. Alternatively, why not now read our guide on Types of Variable. We have provided some answers to common FAQs on the next page. The methods of inferential statistics are (1) the estimation of parameter(s) and (2) testing of statistical hypotheses. Inferential statistics arise out of the fact that sampling naturally incurs sampling error and thus a sample is not expected to perfectly represent the population. The process of achieving this is called sampling (sampling strategies are discussed in detail here on our sister site). It is, therefore, important that the sample accurately represents the population. Inferential statistics are techniques that allow us to use these samples to make generalizations about the populations from which the samples were drawn. Properties of samples, such as the mean or standard deviation, are not called parameters, but statistics. It is not feasible to measure all exam marks of all students in the whole of the UK so you have to measure a smaller sample of students (e. Often, however, you do not have access to the whole population you are interested in investigating, but only a limited number of data instead.įor example, you might be interested in the exam marks of all students in the UK. A population can be small or large, as long as it includes all the data you are interested in.įor example, if you were only interested in the exam marks of 100 students, the 100 students would represent your population.ĭescriptive statistics are applied to populations, and the properties of populations, like the mean or standard deviation, are called parameters as they represent the whole population (i. December 4, pm.Any group of data like this, which includes all the data you are interested in, is called a population. Mjnh nghj day la cach the hjen tjnh yeu ngot ngao va dam me nhat day. This comment form is under antispam protection. Noi chung lam tinh bang mieng la cam thay de me nhat trong cac kieu quan he tinh duc. Learn how your comment data is processed. December 29, pm.This site uses Akismet to reduce spam. Tăng tốc máy tính – mẹo cách làm máy tính chạy nhanh hơn Cho minh hoi khi hon co be dam thuy tu trong co be co tac hai gj ko!! Cho e hoi e voi chog e quan he moi lam duoc mot cai. Minh quen ban gai ma minh mun quan he co ay cung mun nhung ma co ay ngay vay h minh nen chu dong hay de co ay chu dong. Ok hay lam,toi lam roi dung la suong that,k can phai tu van them nua dau,suong oi la suong da oi la da. Ly thuyet la nhu the, nhung cac ban phan tap luyen nhieu day nhe, khong phai ai da doc qua trang nay la lam duoc dau.