Determine the value of the test statistic using technology or the formula for the chi squared2 test statistic. The formula is given below, where n is the sample size, s is the sample standard deviation, and sigma is the claimed value of the population standard deviation. StartFraction left parenthesis n minus 1 right parenthesis s squared Over sigma squared EndFraction (n1)s2 2 The data table contains waiting times of customers at a bank, where customers enter a single waiting line that feeds three teller windows. Test the claim that the standard deviation of waiting times is less than 1.71.7 minutes, which is the standard deviation of waiting times at the same bank when separate waiting lines are used at each teller window. Use a significance level of 0.0250.025. Assume that the sample is a simple random sample selected from a normally distributed population. Customer Waiting Times (in minutes) 7.37.3 7.17.1 7.37.3 6.56.5 7.37.3 6.96.9 6.46.4 7.17.1 6.96.9 6.16.1 7.37.3 6.46.4 7.27.2 7.87.8 6.36.3 6.26.2 7.97.9 6.86.8 7.27.2 7.57.5 7.37.3 8.98.9 7.17.1 8.48.4 7.27.2 8.78.7 7.97.9 8.18.1 6.66.6 7.27.2 7.87.8 6.96.9 8.58.5 8.18.1 7.17.1 8.28.2 7.87.8 7.17.1 7.37.3 7.77.7 8.78.7 6.46.4 9.39.3 8.78.7 6.86.8 7.27.2 6.26.2 6.26.2 5.95.9 6.36.3 6.46.4 6.96.9 6.36.3 6.76.7 7.77.7 6.16.1 8.58.5 7.37.3 7.57.5 6.36.3 Compute the test statistic. chi squared2equals=17.7117.71 (Round to two decimal places as needed.)