Answer:
a) she be able to make 8 bags
b) she can make 16 bags.
Step-by-step explanation:
According to the exercise info Denise has 6.4 pounds of beans
<u>Solving question a </u>
⇒ if she makes each bean bag of 0.8 pounds and she has 6.4 pounds of beans, we can express this by using the three simply rule she needs to puts 6.4 pounds of beans in x quantity of bags of 0.8 pouns, so doing the division: 6. 4 pounds of beans / 0.8 pounds of beans per bag= 8 bags of 0.8 pounds of beans.
B- If she decides to make mini bean bags that are half as heave as the ohers bags, so now Denise is going to make bags of 0.8/2 = 0.4 pounds.
Doing the same procedure as question a, we can say that she has 6.4 pounds of beans and she needed to put these amount in a x quantity of 04 pounds bags. Doing the following division ⇒ 6.4 pounds of beans/ 0.4 pounds of beans per bag= 16 bags
In conclusion she is going to make 16 bags of 0.4 pounds of beans.
the first two random numbers are 4,5.using linear congruential generator with a=4, m=11 and b=0 and 23 as the seed
linear congruential generator
Xn= an-+b Lm
0d s = 25 , b=6, YM 11, 024
Q O o m) 4, Lu) = 4x2%U)
m= 4x4j = 5 y-5
the numbers are 4, 5.
4.O0000 5.000TO
A linear congruence generator is an algorithm that returns a sequence of pseudorandom numbers computed using discontinuous piecewise linear equations. This method is one of the oldest and best-known pseudorandom number generator algorithms.
The linear congruential generator (LCG) is a pseudorandom number generator (PRNG ) is a class of algorithms. Random number generation plays an important role in many applications, from cryptography to Monte Carlo methods.
Learn more about linear congruential here: brainly.com/question/3168048
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Step-by-step explanation:
2(10)+2(x+4)
20 + 2x + 8
20 +8 +2x
28+2x
Answer:
Step-by-step explanation:
5(y+4) = 4(y+5)
5y+20 = 4y + 20
5y = 4y
y=0
Answer:
It gains a slope of 5 over 1
Step-by-step explanation:
