Show work The diameter of steel rods manufactured on two different machines is being investigated. Two...
The diameter of steel rods manufactured on two different extrusion machines is being investigated. Two random samples of sizes n1 = 10 and n2 = 9 are selected, and the sample means and sample variances are 8.73 and 0.35 respectively for sample 1 and 8.68 and 0.40 respectively for sample 2. Find the lower bound of a 95% two-sided Cl on (01)2/(02)2
The diameter of steel rods manufactured on two different extrusion machines is being investigated. Two random samples of sizes n1 = 10 and n2 = 9 are selected, and the sample means and sample variances are 8.73 and 0.35 respectively for sample 1 and 8.68 and 0.40 respectively for sample 2. Find the lower bound of a 95% two-sided CI on σ1/σ2 Use at least two decimal digits
The diameter of steel rods manufactured on two different extrusion machines is being investigated. Two random samples of sizes n1 = 15 and n2 = 17 are selected, and the sample means and sample variances are 8.73 and 0.35 respectively for sample 1 and 8.68 and 0.40 respectively for sample 2. Find the lower bound of a 95% two-sided Cl on 01/02 Use at least two decimal digits
The diameter of steel rods manufactured on two different extrusion machines is being investigated. Two random samples of sizes n1 - 15 and n2 - 17 are selected, and the sample means and sample variances are 8.73 and 0.35 respectively for sample 1 and 8.68 and 0.40 respectively for sample 2. Find a 9096 lower-confidence bound on 01/02
Hypothesis Testing_03 (two independent samples) The diameter of steel rods manufactured on two different extrusio steel rods manufactured on two different extrusion machines is being investigated. Two random samples of sizes , 15 and 17 are selected and the sample means and sample variances are sf = 0.35, 12 = 8.68, and s} = 0.40, respectively. e sample means and sample variances are *; -8.73 d. Write down null and alternative hypotheses to test if the machines produce rods with...
We want to investigate the diameter of steel rods that are manufactured on two different sites. We pick two different random samples of sizes n1 = n2 = 15. The sample means are X1 = 6.2, X2 = 7.8, respectively. The sample variances are s 2 1 = 4 and s 2 2 = 6.25. Assume that both sites produce rods of diameter that is normally distributed with the same standard deviation σ1 = σ2. Answer the following questions. (a)...
Question 3: Two sample hypothesis testing We want to investigate the diameter of steel rods that are manufactured on two different sites. We pick two different random samples of sizes ni = n2 = 15. The sample means are X1 = 6.2, X2 = 7.8, respectively. The sample variances are sî = 4 and s2 = 6.25. Assume that both sites produce rods of diameter that is normally distributed with the same standard deviation 01 = 02. Answer the following...
Please circle all final answers and indicate which portion you are working on. Will rate for correct answers. Please show all work. Thank you! 10.2.3 GO Tutorial The diameter of steel rods manufactured on two different extrusion machines is being investigated. Two random samples of sizes nj = 15 and n2 = 17 are selected, and the sample means and sample variances are Ij = 8.70, sỉ = 0.35, 72 = 8.68, sź = 0.40, respectively. Assume that o =...
Consider the following data from two independent samples with equal population variances. Construct a 99% confidence interval to estimate the difference in population means. Assume the population variances are equal and that the populations are normally distributed. x overbar 1 equals= 37.1 x overbar 2 equals= 32.8 s 1 equals= 8.68 S2 equals= 9.59 N1 equals= 15 N2 equals= 16 The 99% confidence interval is ( )(. ).
1. Ten steel rods of nominally the same composition and diameter were subjected to various tensile forces (x, in thousands of pounds), and elongation (y, in thousands of an inch) of the steel rods was observed. The following data was observed: Σ!! Xi-458, Σ i X- 260.46, 201y630, 1 48735.1, 21 ry 3558.42. (a) Fit the least squares line that will enable us to predict elongation in terms of tensile force. For (b) and (c), assume independent normally distributed errors...