Islom karimov nomidagi

TYPES OF ANALYSIS

Analysis of safety data and safety information also allows decision makers to compare information to other groups (i.e. a control or comparison group) to help draw conclusions from the safety data. Common approaches include descriptive analysis (describing), inferential analysis (inferring) and predictive analysis (predicting).

1. 
   Descriptive analysis
   

1. 
   Descriptive statistics are used to describe or summarize data in ways that are meaningful and useful. They help describe, show or summarize data in ways so patterns can emerge from the data and help to clearly define case studies, opportunities and challenges. Descriptive techniques provide information about the data; however, they do not allow users to make conclusions beyond the analysed data or to reach conclusions regarding any hypotheses about the data. They are a way to describe the data.
   

2. 
   Descriptive statistics are helpful because if we simply presented the raw data, particularly in large quantities, it would be hard to visualize what the data is showing us. Descriptive statistics enable users to present and see the data in a more meaningful way, allowing simpler interpretation of the data. Tools such as tables and matrices, graphs and charts and even maps are examples of tools used for summarizing data. Descriptive statistics include measures of central tendency such as mean (average), median and mode, as well as measures of variability such as range, quartiles, minimum and maximum, frequency distributions, variance and standard deviation (SD). These summaries may either be the initial basis for describing the data as part of a more extensive statistical analysis or they may be sufficient in and of themselves for a particular investigation.
   

2.