Answer: The probability that a randomly selected catfish will weigh between 3 and 5.4 pounds is 0.596
Step-by-step explanation:
Since the weights of catfish are assumed to be normally distributed,
we would apply the formula for normal distribution which is expressed as
z = (x - µ)/σ
Where
x = weights of catfish.
µ = mean weight
σ = standard deviation
From the information given,
µ = 3.2 pounds
σ = 0.8 pound
The probability that a randomly selected catfish will weigh between 3 and 5.4 pounds is is expressed as
P(x ≤ 3 ≤ 5.4)
For x = 3
z = (3 - 3.2)/0.8 = - 0.25
Looking at the normal distribution table, the probability corresponding to the z score is 0.401
For x = 5.4
z = (5.4 - 3.2)/0.8 = 2.75
Looking at the normal distribution table, the probability corresponding to the z score is 0.997
Therefore,.
P(x ≤ 3 ≤ 5.4) = 0.997 - 0.401 = 0.596
Answer:
see below
Step-by-step explanation:
loss of 4 yards
-4
loses 10 yards.
-10
gains 12 yards
+12
The expression for the three plays
-4 +(-10) + 12
The sum is
-2
The team needs to gain 10 yards to make a first down and instead they lost 2 yds
Answer:
f(x)=13
Step-by-step explanation:
f(10)=10/2+8
f(10)=5+8
f(10)=13
Suppose the corn size is 10 inches now. SO, according to the problem it grows 3 inches per week. Hence corn will be
10+3=13 in the next week.
13+3=6 in the second week
16+3=19 in the third week and so on.
So, the changes in the plant size is always equal.
Hence, it's an example of linear function.
36 inches of rope will be left because 6*8 is 48 and you subtract 48 from 84 to get 36.
