1. The electronics production manager wants to get the product assembly procedure efficient. For this purpose, an experiment was carried out by trying 4 assembly procedures and the data obtained for the assembly time of each product unit as follows:

Sample	Assembly Procedure
A	B	C	D
1	4	6	5	8
2	5	8	6	8
3	6	7	5	9

a. Compose a hypothesis b. Compile ANOVA and interpret c. LSD = t/2 2 MSE/r , t/2=statistical value of t at level /2 and v=df error and r = number of samples per procedure. If the (absolute) mean difference between the two procedures greater than LSD then, there is a difference between the two procedures. Procedure which are different or not different from one another?

2. The data on the number of products sold (Y), the frequency of ad impressions (X1) and the number of consumers claiming the products purchased are as follows:

Frequency of Ad (X1)	1	3	5	8	10	15
The number of consumers claim (X2)	2	3	2	3	2	3
The number of products sold (Y)	35	45	50	60	80	100

a. Calculate the correlation between the three variables (rX1-X2, rX1-X3, rX2-X3). Interpret b. Determine the regression equation and the coefficient of determination of Y=bo + b1 X1 and Y=b0 + b1 X2. Regression analysis can/may be via MS-EXCEL. Interpret.