Answer:
+ 24x + 16
Step-by-step explanation:
If it is a square, all sides are equal. An area of a square would be side x side. You would multiply 3x + 4 and 3x + 4 together. I used the foil method (multiply first, then outside, inside, last) or (3x * 3x, 3x * 4, 4 * 3x, 4 * 4).
Answer:
4/13
Step-by-step explanation:
"given that they have a cat?" means you are referring to only the students that have cats(that is the number on the bottom)
i am very bad at explaining math lol
Without reliable transportation, you could be late a lot, and get fired. That shows up when you apply for a new job, even if you get better transportation. If you don't want to get fired, you may not want to take the job.
Answer && Step-by-step explanation:
Obtain yards by multiplying miles by 1760
== 3520 yards
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;

