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.
-1.8 | 14.5 | 41.9 | 17.4 | -16.6 | 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 ≈ 349.854
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.
16.2 | 0.6 | 7.9 | -1.9 | -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 ≈ 136.756
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?
(b) Find the value of the sample F statistic. (Use 2
decimal places.)
For Sample 1 :
Sample variance using excel function VAR.S, s₁² = 349.8541
Sample size, n1 = 21
For Sample 2 :
Sample variance using excel function VAR.S, s₂² = 136.7563
Sample size, n2 = 21
--
Null and alternative hypothesis:
Hₒ : σ₁² = σ₂²
H₁ : σ₁² > σ₂²
Test statistic:
F = s₁² / s₂² = 349.8541 / 136.7563 = 2.56
Degree of freedom:
df₁ = n₁-1 = 20
df₂ = n₂-1 = 20
P-value = F.DIST.RT(2.56, 20, 20) = 0.021
Conclusion:
As p-value < α, we reject the null hypothesis.
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