Answer:
x < −8
Step-by-step explanation:
Let's solve your inequality step-by-step.
<u>Step 1</u>: Simplify both sides of the inequality.
<u>Step 2</u>: Add 9 to both sides.
<u>Step 3</u>: Divide both sides by -3.
-3x 24
----- > -----
-3 -3
x < -8
<u>Answer:</u>
x < −8
To find the mean you add all the numbers then divide the sum by how many numbers there are :
1)Ford School
21+19+20=60
there are 3 numbers in the equation so you divide 60 by 3 :
60÷3=20
the mean for Ford School is 20
2)Carter School
41+36+37=114
there are 3 numbers in the equation so you divide 114 by 3 :
114÷3=38
the mean for Carter School is 38
hope this helps
Answer:
Step-by-step explanation:
Formula = A=πr2
Putting values in the equation
A = (3.14) (5.52)^2
= 95.73
Answer:
Let X the random variable that represent the delivery times of a population, and for this case we know the distribution for X is given by:
Where
and
Since the distribution of X is normal then we know that the distribution for the sample mean
is given by:
And we have;


Step-by-step explanation:
Assuming this question: The delivery times for all food orders at a fast-food restaurant during the lunch hour are normally distributed with a mean of 14.7 minutes and a standard deviation of 3.7 minutes. Let R be the mean delivery time for a random sample of 40 orders at this restaurant. Calculate the mean and standard deviation of
Round your answers to two decimal places.
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the delivery times of a population, and for this case we know the distribution for X is given by:
Where
and
Since the distribution of X is normal then we know that the distribution for the sample mean
is given by:
And we have;

