Answer:
Probability that a Niffler can hold more than 32 pounds of shiny objects in their pouch is 0.1515.
Step-by-step explanation:
We are given that the amount a Niffler can hold in their pouch is approximately normally distributed with a mean of 25 pounds of shiny objects and a standard deviation of 6.8 pounds.
Let X = <u><em>amount a Niffler can hold in their pouch</em></u>
So, X ~ Normal(
)
The z score probability distribution for normal distribution is given by;
Z =
~ N(0,1)
where,
= population mean = 25 pounds
= standard deviation = 6.8 pounds
Now, the probability that a Niffler can hold more than 32 pounds of shiny objects in their pouch is given by = P(X > 32 pounds)
P(X > 32 pounds) = P(
>
) = P(Z > 1.03) = 1 - P(Z
1.03)
= 1 - 0.8485 = 0.1515
<em>The above probability is calculated by looking at the value of x = 1.03 in the z table which has an area of 0.8485.</em>
<em />
Hence, the probability that a Niffler can hold more than 32 pounds of shiny objects in their pouch is 0.1515.
Answer:
Option A
Step-by-step explanation:
This is increasing function
The first option is correct
<em>See attached graph for reference</em>
Answer
7,3'
hope this helps give me a 5-rate and a thanks!
Domain is X and Range is Y. So the range will be all the Y's which is the second answer
Answer:
X=11
Step-by-step explanation:
Step 1: Subtract 2x from both sides.
3x−5−2x=2x+6−2x
x−5=6
Step 2: Add 5 to both sides.
x−5+5=6+5
x=11
Hoped I helped-
Sleepy~