The data set below on the left represents the annual rate of return (in percent) of eight randomly sampled bond mutual funds, and the data set (a) Determine the mean and standard deviation of each data set. below on the right represents the annual rate of return (in percent) of eight randomly sampled stock mutual funds. Use the information in the table below to complete parts (a) through (d). Then complete part (e). The mean of the data set for bond mutual funds is. (Type an integer or decimal rounded to three decimal places as needed.) Bond mutual Stock mutual O funds funds The standard deviation of the data set for bond mutual funds is. 3.3 1.9 9.5 7.7 (Type an integer or decimal rounded to three decimal places as needed.) 2.0 3.5 9.2 7.5 The mean of the data set for stock mutual funds is. 2.5 2.8 8.5 7.3 (Type an integer or decimal rounded to three decimal places as needed.) 1.7 2.1 8.2 7.0 The standard deviation of the data set for stock mutual funds is (Type an integer or decimal rounded to three decimal places as needed.) (b) Based only on the standard deviation, have more spread. (c) What proportion of the bond mutual funds are within one standard deviation of the mean? (Type an integer or decimal rounded to three decimal places as needed.) What proportion of the stock mutual funds are within one standard deviation of the mean? (Type an integer or decimal rounded to three decimal places as needed.) (d) The coefficient of variation, CV, is defined as the ratio of the standard deviation to the mean of a data set. standard deviation CV = mean The CV allows for a comparison in spread by describing the amount of spread per unit mean. Compute the CV for both data sets. What is the CV of the data set for bond mutual funds? (Type an integer or decimal rounded to three decimal places as needed.) What is the CV of the data set for stock mutual funds?
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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