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A large candy manufacturer produces bags of candy targeted to weigh 56 grams. A quality control manager wanted to estimate the standard deviation of the weights. If the standard deviation is too large, there will have to be an adjustment in their manufacturing. Customers expect a consistent product. The manager took a random sample of 10 bags of candy and found the standard deviation to be 2.1 grams. Under the assumption that weights are normally distributed, construct a 98% confidence interval for the true variance and standard deviation of the bag weights. a. We are estimating parameters and . (write symbols). b. Identify the values of the sample size and sample standard deviation by symbol. c. Write the critical chi-square values you found in question #6. chi-square left: chi-square right = d. Write the formula for the confidence interval of a population variance, show your substitutions, and round confidence interval limits to 1 decimal place. Next, find the condence interval for the population standard deviation, round the limits to 1 decimal place. Please place a box around your final answers for each of the confidence intervals. e. Write the summary for the condence interval estimate of the standard deviation only. Remember to convey the context of the situation and to include units. We estimate with confidence that the true Is between and