This is an statistic question about interval estimation. Thank you so much!

1. Interval estimation of the population variance Aa Aa An investigation conducted by a reporter from The New York Times revealed an inverse relationship between prices and temperature in Manhattan retail stores during the summer: High-end retailers tend to set the air conditioning at a colder temperature than low-end stores. The data set collected by the reporter is displayed below, with stores arranged in ascending order based on their temperature measurements. Note that the Designer and Better price point categories describe the high-end stores, while Discount and Popular describe the low-end stores. Temperature Retail Store Price Point Category (Degrees Fahrenheit) Bergdorf Goodman Designer 68.3 Hermes Designer 68.6 Tiffany & Co. Designer 70.3 Bloomingdale's Designer 70.8 Macy's Better 73.1 Club Monaco Better 74.0 National Wholesale Liquidators Discount 76.6 Levi's Popular 76.8 Old Navy Popular 80.3 [Source: From Allen Salkin, "Shivering for Luxury," New York Times, June 26, 2005. Adapted from an informal survey by permission of the New York Times. ] The sample variance for the temperature measurements is s2 = 16.865.Assume that summer temperatures inside Manhattan retail stores are normally distributed and that the reporter's sample is a random sample. Use the tool above to develop a 99% confidence interval for the population variance. The 99% confidence interval for the population variance of is 5 0- s The 99% confidence interval for the population standard deviation o is SOS