Whether in jobs, or daily dry chicken soup, surely we have heard the word statistical analysis. So what exactly is statistical analysis? The contents of specific points, including what it? Xiao Bian today with a mind map , we meet the term.
What is statistical analysis?
Statistics, suggests that the collected information and then calculates, which is a means and method for quantitative data processing. Statistical analysis, often refers to the relevant data collected be sorted and calculated, a process to analyze the relevant laws. Statistical analysis is a statistical work in statistical design, data collection, collation summary, statistical analysis, information feedback most critical step five stages. Without this step or this step has not done enough, all will not be well play a role in statistical work. Another point of view, there is no statistical analysis, statistical work is no vitality, no development, no statistical work status. So many units require staff to have some statistical analysis, from this point you can also see the importance of statistical analysis.
Statistical analysis then what features it? Statistical analysis has three characteristics: scientific, intuitive, repeatability. Science refers to the statistical analyst is based on mathematics, he is having a procedure to follow, rather than the more casual, and statistical analysis also needs to support rigorous logical thinking. Intuitive refers to the results of statistical analysis can make some abstract law more intuitive, it can be better for us to understand. Repeatability is the statistical analysis of the study can be repeated, and can be verified.
The main contents include statistical analysis of descriptive statistics and inferential statistics. What is the difference between these two is it? Descriptive Statistics is the study obtained data be collated, categorized, simplified or to chart a way described and summarized the relationship between the characteristics and variable data. And inferential statistics refers to whether a relationship and an important sample statistics statistical method used to estimate the overall probability characteristics exist between form decision data. This can be seen that the former is more inclined to collate existing data, while the latter is forecast under existing law.
Statistical analysis of the basic steps are: data collection, data collation, analysis data. Data gathered during retrieval document relates generally to the measurement, the field surveys, questionnaires and the like. Organize your data you need to have a certain ability to operate the software, such as: SPSS, Excel and so on. Data analysis is the process of finishing the data on the basis of statistical calculation, drawing conclusions, it is the core and key statistical analysis. Finally showing some intuitive results charts, graphs and the like.
Everything good foundation, that there are some limitations of statistical analysis, such as statistical data, as reflected in the conclusions may not be comprehensive, and therefore the number of individual statistical problem, followed by statistical analysis there are errors, because it is a probability event. So when we know its drawbacks, we will be more to pay attention to, that we have statistical work more effective.
When learning the knowledge of statistical analysis, Xiao Bian also suggest that you can use mind maps to summarize, the better to understand and master. Finally, I wish you a speedy grasp small series statistical analysis.