Suppose the wage is 80 per hour and that the consumer has 100 hours H to work with. Suppose that the MRS is given by c/(l−10) . What will the consumer’s choices of c and l be. Repeat with an upper bound of 10 hours. Repeat both parts with a 10% tax rate for all income levels. Suppose that the tax rate has two brackets so that income from hours above (1/5)H is taxed at 20 percent. How does the solution change? Suppose that consumers must instead pay a lump sum tax that raises the same tax revenues as the one listed above. How will outcomes change?

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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.