An investor has the choice of two investments. Investment A offers interest at 7.25 percent compounded quarterly. Investment B offers interest at the annual rate of 7.40 percent. Which investment offers the higher dollar return on an investment of $ 50000 for two years, and by how much（）
A. Investment B offers a $ 36.92 greater return.
B. Investment A offers a $122.18 greater return.
C. Investment A offers a $ 53.18 greater return.
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What is the main difference between descriptive statistics and inferential statistics（）
A. Descriptive statistics are used to make forecasts about the likelihood of upcoming events while inferential statistics are used to summarize any data set.
B. Descriptive statistics are calculations based on small samples while inferential statistics are calculations based on large samples.
C. Descriptive statistics are used to summarize a large data set while inferential statistics involves procedures used to make forecasts or judgments about a large data set by examining a smaller sample.
Use a stated rate of 9 percent compounded periodically to answer the following three questions. Select the choice that is the closest to the correct answer. An investment offers $100 per year forever. If Peter Wallace’s required rate of return on this investment is 10 percent, how much is this investment worth to him（）
A. $500 million.
B. $100 million.
C. $1000 million.
Which of the following statements about skewness and kurtosis is FALSE（）
A. Kurtosis is measured using deviations raised to the fourth power.
B. Values of relative skewness in excess of 0.5 in absolute value indicate large levels of skewness.
C. Positive values of kurtosis indicate a distribution that has fat tails.
Which one of the following alternatives best describes the primary use of descriptive statistics（）
A. They are used to summarize important characteristics of large data sets.
B. They are used to obtain data about the characteristics of any data set that can be used to assess the likelihood of the occurrence of future events.
C. They are used to make forecasts based on large data sets.
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