Answer:
8 books
Step-by-step explanation:
5+3=8
Answer:

And the best option would be:

Step-by-step explanation:
We assume that the distribution for the random variable is:

For this case we want to calculate the following probability:

And we can use the normal standard distribution or excel and we got:

And the best option would be:

Graph #1: No
Graph #2: Yes
Graph #3: No
Graph #4: No
Graph #5: No
Graph #6: Yes
Reasoning:
The vertical line test is a test that determines wether a graph is a function or a relation. The vertical line test shows that if you construct a vertical line through any point on the graph, then the vertical line should only intercept the graph once for it to be a function.
Answer:
Cost of 11 cans of Dog food is $9.57
Step-by-step explanation:
Cost of 5 cans of dog food = $4.35
So to find out the cost of 11 cans of dog food at the same price, we need to calculate the price of 1 can of dog food.
<u>Calculation for finding out cost of 1 can of dog food</u>
The price $4.35 which is given is the price of 5 cans
So to find the cost of 1 can, we need to divide the given price by 5
5 Cans of dog food = $4.35
1 can of dog food = 4.35 ÷ 5
1 can of dog food = $0.87
<em><u>Now to find out the price of 11 cans, we will multiply the price of 1 can with 11</u></em>
Cost of 11 cans = 11 × $0.87
= $9.57
Answer:
And we can find this probability using excel or the normal standard tabe and we got:
Step-by-step explanation:
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 temperatures of a population, and for this case we know the distribution for X is given by:
Where
and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using excel or the normal standard tabe and we got: