Answer:
Lowest Price - Store B
Middle Price - Store C
Highest Price - Store A
Step-by-step explanation:
Store A Price - $22.50
25 x 0.1 = 2.5
25 - 2.5 = 22.5
Store B Price - $21.60
27 x 0.2 = 5.4
27 - 5.4 = 21.6
Store C Price - $22.1
26 x 0.15 = 3.9
26 - 3.9 = 22.1
Answer:
Probability that the diameter of a selected bearing is greater than 111 millimeters is 0.1056.
Step-by-step explanation:
We are given that the diameters of ball bearings are distributed normally. The mean diameter is 106 millimeters and the standard deviation is 4 millimeters.
<em>Firstly, Let X = diameters of ball bearings</em>
The z score probability distribution for is given by;
Z =
~ N(0,1)
where,
= mean diameter = 106 millimeters
= standard deviation = 4 millimeter
Probability that the diameter of a selected bearing is greater than 111 millimeters is given by = P(X > 111 millimeters)
P(X > 111) = P(
>
) = P(Z > 1.25) = 1 - P(Z
1.25)
= 1 - 0.89435 = 0.1056
Therefore, probability that the diameter of a selected bearing is greater than 111 millimeters is 0.1056.
Answer:
B
Step-by-step explanation:
Answer:
7.53 x 10²
Step-by-step explanation:
10² two time the 10 is 100
Given the CDF

we have PDF

Note that

is wait-time given in hours, so we need to convert from minutes to hours:

so we're looking for

.
The CDF gives us this value right away, since

for any continuous random variable

with distribution function

:

To use the PDF, we need to integrate: