Let X denote the quarterly returns. Then
a)
We want to find 'x' such that
{Using probability tables}
So, the answer is x>4.67%.
b)
We want to find 'x' such that
{Using probability tables}
So, the answer is x<-1.68%.
c)
We want to find 'x' such that
{Using probability tables}
So, the answer is -10.63%<x<10.63%.
d)
We want to find 'x' such that
{Using probability tables}
So, the answer is x>-1.68%.
The quarterly returns for a group of 52 mutual funds with a mean of 3.2% and...
The quarterly returns for a group of 52 mutual funds are well modeled by a Normal model with a mean of 74% and a standard deviation of 38% Use the 68-95-99.7 Rule to find the cutoff values that would separate the following percentages of funds, rather than using technology to find the exact values a) the highest 50% b) the highest 16% c) the lowest 25% d) the middle 68%
The quarterly returns for a group of 66 mutual funds are well modeled by a Normal model with a mean of 5,4% and a standard deviation of 1.9%. Use the 68-95-99.7 Rule to find the cutoff values that would separate the following percentages of funds, rather than using technology to find the exact values a) the highest 50% b) the highest 16% c) the lowest 2.5% d) the middle 68% a) Select the correct choice and fill in any answer...
The quarterly returns for a group of 62 mutual funds with a mean of 2.8% and a standard deviation of 5.2% can be modeled by a Normal model. Based on the model N(0.028, 0.052), what are the cutoff values for the a) highest 10% of these funds? b) lowest 30%? c) middle 60%? d) highest 70%?
In the last quarter of 2007, a group of 64 mutual funds had a mean return of 1.8% with a standard deviation of 4.5%. Consider the Normal model N(0.018,0.045) for the returns of these mutual funds. a) What value represents the 40th percentile of these returns? b) What value represents the 99th percentile? c) What's the IQR, or interquartile range, of the quarterly returns for this group of funds?
In the last quarter of 2007, a group of 64 mutual funds had a mean return of 2.4% with a standard deviation of 6.1% Consider the Normal model N(0.0240.024,0.0610.061) for the returns of these mutual funds. a) What value represents the 40th percentile of these returns? b) What value represents the 99th percentile? c) What's the IQR, or interquartile range, of the quarterly returns for this group of funds?
In the last quart of 2007 a group of 64 mutual funds had mean return of 2.8% In the last quarter of 2007, a group of 64 mutual funds had a mean return of 28% with a standard deviation of 6.5%. Fa normal model can be used to model them, what percent of the funds would you expect to be in each region? Use the 68-95-99.7 rule to approximate the probabilities rather than using technology to find the values more...
Suppose the returns of a particular group of mutual funds are normally distributed with a mean of 10.9% and a standard deviation of 4.6%. If the manager of a particular fund wants his fund to be in the top 10% of funds with the highest return, what return must his fund have? (please round your answer to 2 decimal places)
In the last quarter of 2007, a group of 64 mutual funds had a mean return of 2.7% with a standard deviation of 7.6%. If a normal model can be used to model them, what percent of the funds would you expect to be in each region? Use the 68-95-99.7 rule to approximate the probabilities rather than using technology to find the values more precisely. Be sure to draw a picture first. a) Returns of-12.5% or less b) Returns of...
In the last quarter of 2007, a group of 64 mutual funds had a mean return of 5.5% with a standard deviation of 6.1%. If a normal model can be used to model them, what percent of the funds would you expect to be in each region? Use the 68-95-99.7 rule to approximate the probabilities rather than using technology to find the values more precisely. Be sure to draw a picture first. a) Returns of 23.8% or more c) Returns...
In the last quarter of 2007, a group of 64 mutual funds had a mean return of 5.5% with a standard deviation of 7.7%. If a normal model can be used to model them, what percent of the funds would you expect to be in each region? Use the 68-95-99.7 rule to approximate the probabilities rather than using technology to find the values more precisely. Be sure to draw a picture first. a) Returns of negative 17.6% or less ...