In: Statistics and Probability
Companies often have different mutual funds to serve different investment time horizons. Use the tab titled BESTFUNDS to determine if there is a difference between in the three-year annualized return for small cap growth, mid-cap growth, and large cap growth mutual funds.
(a) Identify which type of test you plan to use and why.
(b) Analyze and report your findings.
Small | Mid-Cap | Large |
33.21 | 5.34 | 27.08 |
25.33 | 25.59 | 14.80 |
29.19 | 26.01 | 20.87 |
29.96 | 24.41 | 9.53 |
28.05 | 24.90 | 28.40 |
26.36 | 24.96 | 22.33 |
32.89 | 25.92 | 26.52 |
30.58 | 24.81 | 25.99 |
31.18 | 26.22 | 25.06 |
25.25 | 24.44 | 27.91 |
(c) Put the findings into meaningful words (i.e., explain what the test allows you to conclude about the types of mutual funds).
(d) Does your result from
(b) give you statistical permission to probe group differences, yes or no?
(a) The One-Way ANOVA test would be appropriate here because we have 3 levels of the independent variable.
(b) The hypothesis being tested is:
H0: µ1 = µ2 = µ3
Ha: Not all means are equal
Mean | n | Std. Dev | |||
29.200 | 10 | 2.9072 | Small | ||
23.260 | 10 | 6.3303 | Mid-Cap | ||
22.849 | 10 | 6.2265 | Large | ||
25.103 | 30 | 5.9835 | Total | ||
ANOVA table | |||||
Source | SS | df | MS | F | p-value |
Treatment | 252.6257 | 2 | 126.3129 | 4.34 | .0232 |
Error | 785.6455 | 27 | 29.0980 | ||
Total | 1,038.2712 | 29 |
The p-value is 0.0232.
Since the p-value (0.0232) is less than the significance level (0.05), we can reject the null hypothesis.
Therefore, we can conclude that not all means are equal.
(c) We can conclude that there is a difference between in the three-year annualized return for small cap growth, mid-cap growth, and large cap growth mutual funds.
(d) yes