An informed trader has private information that the value of a stock is $100 per share. Without this information, the variance of payoffs on the stock would be 100; this is the level of payoff uncertainty faced by uninformed investors. The variance associated with uninformed investor trade is 10,000 shares. If the value of the stock were to be $ 91 without the private information, what would be the level of informed trader demand for the stock?

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Hypothesis Testing

In statistics, there are two ways to calculate the sample data. One is descriptive statistics and the other is inferential statistics.  In descriptive statistics, all of the information is defined through graphs and charts. In inferential statistics, it allows one to test the hypothesis and it is always used to predict the data. Inferential statistics has two main areas: estimating parameters and hypothesis testing. A hypothesis is a statement about the unknown parameter of the population which we want to verify from the information available from the sample. The premise may or may not be true. The estimation of the whole population would be a reasonable way of deciding if the statistical hypothesis is valid. There are two types of hypotheses. They are null hypothesis and alternative hypothesis.