Chapter 15, Problem 15.32AC

Maple syrup is a non-negligible nutritional source of manganese. It is made from the sap of two species of maple: the sugar maple and the black maple. To see if there is a significant difference between the manganese content of these two species of maple, we measured the manganese content (in mg per 100g syrup) for a sample of sugar maples and a sample of black maples. The data is summarized by the Minitab output below: Two-sample T for Sugar Maple Black Maple group N Mean St Dev SE Mean Sugar Maple 20 Black Maple 12 3.55 0.29 Find: (i) a point estimate for ₁-2, where ₁ and 2 are the average manganese contents of the sugar maple, respectively the black maple; (ii) the standard error of X₁ - X₂. A) (i) -0.07; (ii) 0.101 C) (i) -0.26; (ii) 0.097 E) (i) -0.07; (ii) 0.035 3.29 0.22 0.049 0.084 B) (i) -0.26; (ii) 0.188 D) (i) -0.26; (ii) 0.101

please answer the question fully!

Solve by hand calculations. Do not use any type of software

The materials handling manager of a manufacturing company is trying to forecast the cost of maintenance for the company's fleet of over-the-road tractors. The manager believes that the cost of maintaining the tractors increases with their age. The following data was collected: Age (years) 5.5 where Y = Yearly maintenance cost in dollars and X = Age in years. 5.5 5.5 5.0 5.0 5.0 6.0 6.0 6.5 Yearly Maintenance Cost (S) 1,319 1,749 1,733 1,195 1,423 1,381 1,590 2,222 1,687 Age (years) 5.0 1.5 1.5 Y = 7.0 7.0 2.0 2.0 2.0 Yearly Maintenance Cost ($) 1,894 863 882 a. Use POM for Windows' least squares-linear regression module to develop a relationship to forecast the yearly maintenance cost based on the age of a tractor. (Enter your responses rounded to three decimal places and include a minus sign if necessary.) 1,464 2,073 1,678 1,166 1,249

I'm a bit confused on how to "discuss the relationship" for part a and " Interpret" for part c.   I also want to know how to start part E; which test (if any) for I need to use?

Question 5: Problem Statement: An automotive company is evaluating two different suppliers for sourcing engines for their new vehicle model. The company aims to select the supplier that provides engines with lower specific fuel consumption (SFC) to improve the vehicle's fuel efficiency and reduce operating costs. Your task is to compare the SFC of engines received from two suppliers and provide recommendations based on your analysis. Data: Below are datasets of specific fuel consumption (SFC) measurements for the engines received from Supplier X and Supplier Y. The SFC is measured in grams per kilowatt-hour (g/kWh). Supplier X: 195, 200, 192, 205, 198, 202, 190, 208, 200, 194 Supplier Y: 185, 190, 183, 188, 186, 195, 180, 200, 190, 187 1. Calculate Control Limits: - Compute the mean (X-bar) and standard deviation (σ) of the SFC measurements for each supplier. - Determine the Upper Control Limit (UCL) and Lower Control Limit (LCL) for each supplier using the mean and standard deviation.…

The residuals for data set A and data set B were calculated and plotted on separate residual plots. If the residuals for data set A do not form a pattern and the residuals for data set B do not form a pattern, what can be concluded? OA. A linear model is a good fit for data set A but not data set B. O B. A linear model is a good fit for data set B but not data set A. AC. A linear model is a good fit for both data sets. D. A linear model is not a good fit for either data set.

I need help with question 2 and 9 plz.

Problem 10.4. We continue with the situation in Problem 8.8. Assume that the two sample sizes are nį = 19 and n2 = 12 and the two sample variances are s = 0.81 and s = 0.49. Is there enough evidence that fam- ilies from culled populations have a lower bunching intensity than families from non-culled populations? Use a test of hypothesis at level a = 0.005. Suppose that the two populations are normally distributed with equal vari- %3D ances.