Need these answered in 30 mins, please. Thank you!

1. Location is known to affect the number, of a particular item, sold by Walmart. Two different locations, A and B, are selected on an experimental basis. Location A was observed for 18 days and location B was observed for 18 days. The number of the particular items sold per day was recorded for each location. On average, location A sold 39 of these items with a sample standard deviation of 9 and location B sold 55 of these items with a sample standard deviation of 6. Select a 99% confidence interval for the difference in the true means of items sold at location A and B.
2. An ammunition producer claims his best product has an average lifespan of exactly 18 years. A skeptical product evaluator asks for evidence (data) that might be used to evaluate this claim. The product evaluator was provided data collected from a random sample of 50 people who used the product. Using the data, an average product lifespan of 15 years and a standard deviation of 8 years was calculated. Select the 90%, confidence interval for the true mean lifespan of this product.
3. An important problem in industry is shipment damage. A electronics distribution company ships its product by truck and determines that it cannot meet its profit expectations if, on average, the number of damaged items per truckload is greater than 12. A random sample of 12 departing truckloads is selected at the delivery point and the average number of damaged items per truckload is calculated to be 11.3 with a calculated sample of variance of 0.49. Select a 99% confidence interval for the true mean of damaged items.
4. ?

An auditor for a hardware store chain wished to compare the efficiency of two different auditing techniques . To do this he selected a sample of nine store* accounts and applied auditing techniques A and B to each of the nine accounts selected . The number of errors found in each of techniques A and B is listed in the table below : Errors in A\\Errors in B 127 13 30 19 28 21 30 19 34 36 32 27 131 13 1 122 23 127 132 Select a 95% confidence interval for the true mean difference in the two techniques . 2 ) [2.134 , 6.7541 6 ) 0[ - 5. 195 , 5. 195] ( ) 0 12. 195 , 6. 6931 2 ) 01 - 0. 751 , 9.639] @ ) 0 12. 712 , 6. 1761 () ONone of the above