You may need to use the appropriate appendix table to answer this question. This exercise is a "what-if analysis" designed to determine what happens to the test statistics and interval estimates when elements of the statistical inference change. This problem can be solved manually. Random samples from two normal populations produced the following statistics. = 27 n1 = 10 $2 = 18 72 = 10 (a) Estimate with 95% confidence the ratio of the two population variances. (Round your answers to three decimal places.) LCL = UCL = (b) Repeat part (a) changing the sample sizes to n1 = 25 and n2 = 25. (Round your answers to three decimal places.) LCL = UCL = (c) Describe what happens to the width of the confidence interval estimate when the sample sizes increase. 1. When the sample size is increased the width of the confidence interval stays the same. 2. When the sample size is increased the width of the confidence interval narrows. 3. When the sample size is increased the width of the confidence interval widens