Two limitations of a t-test are you can only use one factor at a time and you can only use two levels at a time. You have to watch out for the Type 1 error because it increases with simultaneous tests.
scope and lim;tation of statics
Never? Avoid thinking in absolutes. It is much better to understand published statistics but impossible to say "never safe to ...".
The two main branches of statistics is Descriptive statistics and inferential statistics.
father of statistics
statistics
scope and lim;tation of statics
definition and meaning of statistics
limitations of statistics are as follows: 1. Statistics does not deal with an individual 2.It is not suitable to the study of qualitative phenomenon 3.Statistical relations are not exact 4.Statistics is liable to be misused 5.Statistics is only a means
What are the limitations of disparate impact statistics as indicators of potential staffing discrimination?
One limitation of statistics is that everyone doesnÕt understand them or how to use them. There is also a possibility for errors.
National income statistics are heavily limited by disclosure. If many people choose not to reveal their true income levels, the statistics available will be skewed.
The importance of national income statistics is to show a national income figures and show the performance of the company. The limitations are there are room for errors in report , some categories are not accurate or are misrepresented , and they do not measure welfare as a source of income.
Never? Avoid thinking in absolutes. It is much better to understand published statistics but impossible to say "never safe to ...".
Never? Avoid thinking in absolutes. It is much better to understand published statistics but impossible to say "never safe to ...".
4 most essential limitations of StatisticsStatistics is indispensable to almost all sciences - social, physical and natural. It is very often used in most of the spheres of human activity. In spite of the wide scope of the subject it has certain limitations. Some important limitations of statistics are the following:1. Statistics does not study qualitative phenomena:Statistics deals with facts and figures. So the quality aspect of a variable or the subjective phenomenon falls out of the scope of statistics. For example, qualities like beauty, honesty, intelligence etc. cannot be numerically expressed. So these characteristics cannot be examined statistically. This limits the scope of the subject.2. Statistical laws are not exact:Statistical laws are not exact as incase of natural sciences. These laws are true only on average. They hold good under certain conditions. They cannot be universally applied. So statistics has less practical utility.3. Statistics does not study individuals:Statistics deals with aggregate of facts. Single or isolated figures are not statistics. This is considered to be a major handicap of statistics.4. Statistics can be misused:Statistics is mostly a tool of analysis. Statistical techniques are used to analyze and interpret the collected information in an enquiry. As it is, statistics does not prove or disprove anything. It is just a means to an end. Statements supported by statistics are more appealing and are commonly believed. For this, statistics is often misused. Statistical methods rightly used are beneficial but if misused these become harmful. Statistical methods used by less expert hands will lead to inaccurate results. Here the fault does not lie with the subject of statistics but with the person who makes wrong use of it.
Its means you are trying to reach a conclusion beyond the limitations of the data. All it is, is once you reach the end of the data you make an educated conclusion based on the trends and patterns of the data.
The two main branches of statistics is Descriptive statistics and inferential statistics.