In the manufacture of light emitting diode (LED), different layers of ink are on the optic lens. The thickness of these layers is critical if specifications regarding the final color and intensity of light are to be met. Let X1 and X2 denote the thickness of two different layers of ink. It is known that X1 is normally distributed with a mean of 0.1 mm and a standard deviation of 0.00031 mm, and X2 is also normally distributed with a mean of 0.23 mm and a standard deviation of 0.00017 mm. Assume that these variables are independent. Let T as the ink total thickness. Give the estimated ink total thickness (in 2 decimal places) : Give the estimated standard deviation of the ink total thickness (in six (6) decimal places)= A lamp with a total ink thickness (T) exceeding 0.2405 mm lacks the uniformity of color that the customer demands. Find the probability that a randomly selected lamp fails to meet customer specifications Answer (in 2 decimal places)
In the manufacture of light emitting diode (LED), different layers of ink are on the optic lens. The thickness of these layers is critical if specifications regarding the final color and intensity of light are to be met. Let X1 and X2 denote the thickness of two different layers of ink. It is known that X1 is normally distributed with a mean of 0.1 mm and a standard deviation of 0.00031 mm, and X2 is also normally distributed with a mean of 0.23 mm and a standard deviation of 0.00017 mm. Assume that these variables are independent. Let T as the ink total thickness.
Give the estimated ink total thickness (in 2 decimal places) :
Give the estimated standard deviation of the ink total thickness (in six (6) decimal places)=
A lamp with a total ink thickness (T) exceeding 0.2405 mm lacks the uniformity of color that the customer demands. Find the probability that a randomly selected lamp fails to meet customer specifications Answer (in 2 decimal places) :
1. Company ABC produces and sells product X. Using information given below calculate Total Revenue (TR), Average Revenue (AR) and Marginal Revenue (MR).. Solution should be Excel format Quantity Price per product (EUR) Total Revenue (EUR) Average Revenue (EUR) Marginal Revenue (EUR) 1 100 100 100 100 2 95 190 95 90 3 90 270 90 80 4 85 340 85 70 5 80 400 80 60 6 75 450 75 50 7 70 490 70 40 8 65 520 65 30 9 60 540 60 20 10 50 500 50 -40
The data in the contingency table to the right count the number of male and female shoppers who accept or reject a discounted offer in return for supplying a retailer with an email address. Consider using these data to test the null hypothesis that gender and acceptance are independent ​(H0​). ​(a) Find the degrees of freedom of χ2. ​(b) Find the expected number of women who reject if H0 holds. ​(c) Find the value of χ2 for testing H0. ​(d) Find the​ p-value for testing H0. Male Female Accept 55 45 Reject 45 55