You don't need to be rich to buy a few shares in a mutual fund. The question is, howreliableare 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.

-1.6, 14.1, 41.6, 17.4, -16.5, 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 thats²348.047for 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.

16.9, 0.7, 7.3, -1.3, -3.4, 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 thats²136.795for 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 ofreliabilityof returns for each type of mutual fund?

(a) What is the level of significance?

State the null and alternate hypotheses.

H_o:₁²=₂²;H₁:₁²>₂²

H_o:₁²>₂²;H₁:₁²=₂²

H_o:₂²=₁²;H₁:₂²>₁²

H_o:₁²=₂²;H₁:₁²₂²

(b) Find the value of the sampleFstatistic. (Use 2 decimal places.)

What are the degrees of freedom?df_Ndf_DWhat assumptions are you making about the original distribution?

The populations follow dependent normal distributions. We have random samples from each population.

The populations follow independent normal distributions. We have random samples from each population.

The populations follow independent chi-square distributions. We have random samples from each population.

The populations follow independent normal distributions.

(c) Find or estimate theP-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= 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.

At the= 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.

At the= 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

At the= 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.