Answer:
The change in temperature from last week to this week=3.5
Step-by-step explanation:
To get the change in temperature from last week to this week, we need to take last week's temperature and subtract it from this week's temperature.
For example;
Change in temperature=This week's temperature-last week's temperature
where;
This week's temperature=-2.25
last week's temperature=1.25
replacing;
Change in temperature=(1.25)-(-2.25)=1.25+2.25=3.5
The change in temperature from last week to this week=3.5
Answer:
19.5959179423
Step-by-step explanation:
Answer:
There is a 0.82% probability that a line width is greater than 0.62 micrometer.
Step-by-step explanation:
Problems of normally distributed samples can be solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by

After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X. The sum of the probabilities is decimal 1. So 1-pvalue is the probability that the value of the measure is larger than X.
In this problem
The line width used for semiconductor manufacturing is assumed to be normally distributed with a mean of 0.5 micrometer and a standard deviation of 0.05 micrometer, so
.
What is the probability that a line width is greater than 0.62 micrometer?
That is 
So



Z = 2.4 has a pvalue of 0.99180.
This means that P(X \leq 0.62) = 0.99180.
We also have that


There is a 0.82% probability that a line width is greater than 0.62 micrometer.
The correct answer is NO LINEAR FACTORS (option A ).
To find the mean all you have to do is add all the numbers...
you should get -30
and divide by a number of numbers, there are 6
so -30/6 is -5