Answer:
Method brand because 6.5 per oz
Step-by-step explanation:
pls give me brainliest plzzz
B
B
D
A
Explanation, I have a 128% in math rn…
Answer:
a) 0.0081975
b) 0.97259
Step-by-step explanation:
The line width for semiconductor manufacturing is assumed to be normally distributed with a mean of 0.5 micrometer and a standard deviation of 0.05 micrometer
We solve using z score formula
z = (x-μ)/σ, where
x is the raw score
μ is the population mean
σ is the population standard deviation.
a. What is the probability that a line width is greater than 0.62 micrometer?
z = 0.62 - 0.5/0.05
z = 2.4
Probability value from Z-Table:
P(x<0.62) = 0.9918
P(x>0.62) = 1 - P(x<0.62)
= 0.0081975
b. What is the probability that a line width is between 0.4 and 0.63 micrometer?
For 0.4
z = 0.4 - 0.5/0.05
= -2
Probability value from Z-Table:
P(x = 0.4) = 0.02275
For 0.63
z = 0.63 - 0.5/0.05
= 2.6
Probability value from Z-Table:
P(x = 0.63) = 0.99534
P(x = 0.63) - P(x = 0.4)
= 0.99534 - 0.02275
= 0.97259
c. The line width of 90% of samples is below what value?
Answer:
1. 900
2. 90
3. 10
Step-by-step explanation:
1<u>9</u>42=900
7<u>9</u>8=90
its just one more 0 value to its 10
Jim-4
Terrence-3
Terrence has 36
12×3=36
so let's multiply 4 by 12 also and that is 48
so, therefore jim has 48 model cars
