Valuation of shares
Generally shares of the company are valued at the following cases:
1) At the time of the assessment by income tax authority.
2) At the time of the raising loans.
3) At the time of the paying court fee.
4) At the time of the valuing the assets of the company.
5) At the time of the purchase and sale of the shares in private company. Continue reading
Liquidation of companies means by which affairs of company wound up by law. A company can not die natural death as it is created by law.
Liquidation of companies is done by three ways:
1) Compulsory winding up by court
2) Voluntary winding up by members
3) Winding up under the supervision of court Continue reading
Last time we have discussed the concept of regression analysis. Let us discuss the difference between correlation and regression.
1 ) correlation means relationship between two or more variables.
2) It is only a tool of ascertaining the degree of the relationship between two variables therefore we cannot say that one variable is the cause and other the effect.
3) There may be non sense correlation between two variables. Like correlation between income and weight.
4) It is independent of change of scale and origin.
5) It is confined only two the study of linear relationship between variables.
1) It means stepping back and returning to average value. It is the measure of average relationship between two or more variables in terms of the original units of data.
2) It indicates the cause and effect relationship between the variables as one variable is taken as dependent while other as independent.
3) There is no such thing like non sense regression.
4) It is independent of change of origin not scale.
5) It studies linear as well as non linear relationship between the variables.
These are the 5 differences between correlation and regression
Meaning of Regression analysis:
It means stepping back and returning to average value. This is propounded by Sir Francis Galton. It is the measure of average relationship between two or more variables in terms of the original units of data.
Yon X Continue reading
We all want success. We all dream to be big and be celebrities like Bill Gates, Steve Jobs, or like a successful actor or any other successful person in this world. Life is only for today not for tomorrow. Thus live life-like it will not come tomorrow. You may achieve all the success in life with self management. Let us discuss them one by one:
1. Do not sit but move and fly: It is always good to fly. By sitting only you will never achieve anything. There is a famous saying that risk never taken is the biggest risk. Analyze your strengths, try to increase them by constant practice and hard work. But remember do whatever you feel without harming anyone.
2. Be the self-leader of your life: Do not always seek other advice. It is good have advice but apply your thinking also. Try to do experiments, what may maximum happens, you may not win but at least you have tried. Do not allow others to be your leaders always.
3. Accept Challenges: Remember life is not enjoyable without challenges. One has to accept challenges for growth. If the target is difficult, go step by step. One never directly goes to Olympics without participating in many other national and international events.
4. Plan the things: Planning is utmost necessary to achieve a minor to major targets. Without planning one is almost certain not to achieve success.
5. Learn from mistakes and success: There is always learning experience from mistakes and success. Mistakes are bound to happen when you will try for something. If you are not trying, you will not get anything. That is you have to try to achieve. Do not let failures to give you negative energy and do not let the success to dominate you.
These are the five basics self management skills to achieve success.
Let us discuss the difference between null and alternative hypothesis:
The hypothesis we want to test or a hypothesis of no difference is called null hypothesis. It is denoted by Ho. for example if we want to test that the population mean is equal to 400, we can write HO: µ : 400 and we read it as “ the null hypothesis is that the population mean is equal to 400.
1) Null hypothesis is expressed in equality like HO: µ = µO Continue reading
Meaning of hypothesis:
It is a quantitative statement about population. It is some assumption or statement which may or may not be true about a population, which we want to test on the basis of evidence of random sample.
Testing of hypothesis:
There is an element of risk of taking wrong decisions at the time of taking of decision. For example when a company launched a new product then they are interested to find out that it is going to be a big product in the market or not. It is here the modern theory of probability play an important role in decision-making which helps in arriving at a particular decision which is known as a testing of hypothesis. The theory of testing of hypothesis was initiated by J. Neyman and E. S. Pearson. They use statistical techniques to arrive at a particular decision; in this sample size is fixed in advance.
There is another technique derived by Abhram Wald called Sequential Testing in which sample size is not fixed.
Types of hypothesis:
There are 2 types of hypothesis:
a) Simple hypothesis
b) Composite hypothesis
If the hypothesis completely specifies the population then it is simple otherwise it is composite.
I hope you understood the meaning, testing and types of hypothesis.