Step 1 :We are given that the standard deviation of the rate of return is 2.59%, the sample size is 27, and we are testing against a null hypothesis that the standard deviation is 3%. We are also given that the data is normally distributed.
Step 2 :We can use the chi-square test for a single variance to test this hypothesis. The test statistic is given by \((n-1)s^2 / σ^2\), where n is the sample size, s is the sample standard deviation, and σ is the hypothesized population standard deviation.
Step 3 :We can calculate the test statistic using this formula: \(n = 27\), \(s = 0.0259\), \(sigma = 0.03\), \(test\_statistic = 19.378955555555557\)
Step 4 :Then, we can calculate the P-value using the chi-square distribution with n-1 degrees of freedom. The P-value is the probability of observing a test statistic as extreme as the one we calculated, assuming the null hypothesis is true. If the P-value is less than the significance level (0.05), we reject the null hypothesis.
Step 5 :The P-value is calculated as \(p\_value = 0.8200376574369816\)
Step 6 :The test statistic is approximately 19.38 and the P-value is approximately 0.820. Since the P-value is greater than the significance level of 0.05, we do not reject the null hypothesis. This means that there is not sufficient evidence to conclude that the fund has moderate risk.
Step 7 :Final Answer: The test statistic is approximately \(\boxed{19.38}\) and the P-value is approximately \(\boxed{0.820}\).