You don't need to be rich to buy a few shares in a mutual fund. The question is, how reliable are mutual funds as investments? This depends on the type of fund you buy. The following data are based on information taken from a mutual fund guide available in most libraries.
A random sample of percentage annual returns for mutual funds
holding stocks in aggressive-growth small companies is shown
below.
-1.2 14.2 41.3 17.5
-16.1 4.4 32.6 -7.3
16.2 2.8 34.3
-10.6 8.4 -7.0 -2.3
-18.5 25.0 -9.8
-7.8 -24.6 22.8
Use a calculator to verify that s2 ≈ 346.032 for the sample of
aggressive-growth small company funds.
Another random sample of percentage annual returns for mutual
funds holding value (i.e., market underpriced) stocks in large
companies is shown below.
16.7 0.1 7.1 -1.3
-3.3 19.4 -2.5 15.9
32.6 22.1 3.4
-0.5 -8.3 25.8 -4.1
14.6 6.5 18.0 21.0
0.2 -1.6
Use a calculator to verify that s2 ≈ 137.039 for value stocks in
large companies.
Test the claim that the population variance for mutual funds
holding aggressive-growth in small companies is larger than the
population variance for mutual funds holding value stocks in large
companies. Use a 5% level of significance. How could your test
conclusion relate to the question of reliability of returns for
each type of mutual fund?
(a) What is the level of significance?
State the null and alternate hypotheses.
Ho: σ12 = σ22; H1: σ12 > σ22
Ho: σ12 > σ22; H1: σ12 = σ22
Ho: σ22 = σ12; H1: σ22 > σ12
Ho: σ12 = σ22; H1: σ12 ≠ σ22
(b) Find the value of the sample F statistic. (Use 2 decimal
places.)
What are the degrees of freedom?
dfN
dfD
What assumptions are you making about the original
distribution?
The populations follow independent normal distributions. We have
random samples from each population.
The populations follow independent normal distributions.
The populations follow independent chi-square distributions. We
have random samples from each population.
The populations follow dependent normal distributions. We have
random samples from each population.
(c) Find or estimate the P-value of the sample test statistic.
(Use 4 decimal places.)
p-value > 0.100
0.050 < p-value < 0.100
0.025 < p-value < 0.050
0.010 < p-value < 0.025
0.001 < p-value < 0.010
p-value < 0.001
(d) Based on your answers in parts (a) to (c), will you reject
or fail to reject the null hypothesis?
At the α = 0.05 level, we reject the null hypothesis and conclude
the data are not statistically significant.
At the α = 0.05 level, we reject the null hypothesis and conclude
the data are statistically significant.
At the α = 0.05 level, we fail to reject the null hypothesis and
conclude the data are not statistically significant.
At the α = 0.05 level, we fail to reject the null hypothesis and
conclude the data are statistically significant.
(e) Interpret your conclusion in the context of the
application.
Fail to reject the null hypothesis, there is sufficient evidence
that the variance in percentage annual returns for mutual funds is
greater in the aggressive-growth in small companies.
Reject the null hypothesis, there is insufficient evidence that the
variance in percentage annual returns for mutual funds is greater
in the aggressive-growth in small companies.
Reject the null hypothesis, there is sufficient evidence that the
variance in percentage annual returns for mutual funds is greater
in the aggressive-growth in small companies.
Fail to reject the null hypothesis, there is insufficient evidence
that the variance in percentage annual returns for mutual funds is
greater in the aggressive-growth in small companies.
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