Answer:
a. There is no blocking variable, and incentive plans will be randomly assigned to the workers.
Step-by-step explanation:
The Randomized Complete Block Design (RCBD) is a standard experimental design where experimental units or subjects are grouped as blocks (also known as replicates). In RCBD, subjects within each block are randomly assigned to the experimental units within a block. RCBD is a type of design that reduces variability by controlling variation within each treatment, thereby enhancing the estimation of the treatment effects (combinations of the factor levels of the different factors).
Let x be the original price. The discount on this item is 64% of x, that means:
discount = x(0.64) = $30, x = 30/0.64 = original price x = $46.875:
Write an equation:
NET PRICE = Original price - discount (on the original price)
NET PRICE = x - 0.64.x or NET PRICE = x(1-0.64)
NET PRICE =0.36.x
Answer:
Kindly check explanation
Step-by-step explanation:
Given that :
Objective is to compete in a 5km road race ;
Reduction in race tone per month = 15 seconds
Rqce comes up in 3 months
Total change in race time he hopes to achieve :
1. What integer represents the change in race time Riley wants to achieve each month ; 15 seconds
2. What integer represents the number of months she will train?
She will train for 3 months ; 3 months
Write a multiplication expression that can be used to find the total change in time.
Change in race time * number of month she will train
15 seconds * 3 months = 45 seconds
Let initial race time = (t)
t - 15(month in which race comes up).
t - (15-3) = t - 45
Step-by-step explanation:
For problem 1,
Let the required number be x,
2 x/4 = 11/4
or, (8+x)/4 = 11/4
or, 8+x = 44/4
or, 8+x = 11
or, x = 11-8
so, x = 3
For problem 2,
Let the required number be y,
y/10 = 4/5
or, 5y = 40
or, y = 40/5
so, y = 8
Answer:
(-24, -8)
Step-by-step explanation:
Let us recall that when we have a function f
<em>if the gradient of f at a given point (x,y) exists, then the gradient of f at this point (x,y) gives the direction of maximum rate of increasing and minus the gradient of f at this point gives the direction of maximum rate of decreasing</em>. That is
at the point (x,y) gives the direction of maximum rate of increasing
at the point (x,y) gives the direction of maximum rate of decreasing
In this case we have
and we want to find the direction of fastest speed of decreasing at the point (-3,-2)
at the point (-3,-2) minus the gradient equals
hence the vector (-24,-8) points in the direction with the greatest rate of decreasing, and they should start their descent in that direction.