Answer:

Step-by-step explanation:

Answer:
There are 46 more skiers than snowboarder
Step-by-step explanation:
Given
Ratio of Snowboarders to Skiers
On Friday:

On Saturday:

Population = 168
Required
Determine the difference in the number of skiers and snowboarders on Saturday
On Saturday, we have

Calculate Total


Calculate the number of skiers


(Approximated)
Calculate the number of snowboarders


(Approximated)
Calculate the difference


<em>Hence, there are 46 more skiers than snowboarder</em>
Answer:
the x
Step-by-step explanation:
Looking at the x in an equation can reveal its shape. A linear graph can look like y=x, y=mx, y=mx+b (m being any number).
When you look at graphs that aren't linear, the x doesn't stand alone in the equation.
Parabolas have a y=x^2 equation. Cubic graphs are y=x^3. They have something attached to the x.
To see all the different kinds of equations and what their graphs look like you can search up "parent functions" and all the basic formulas show up.
The answer for the first one would be 4 just divide both 16 & 4.
The answer for the second one would be -7 just divide both 63 & -9.
The answer for the third one would be -36 just multiply both 12 and -3.
The answer for the fourth one would be -120 just multiply -10 and 12.
Answer:

And we can solve this using the following z score formula:

And if we use this formula we got:

So we can find this probability equivalently like this:

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 heights of a population, and for this case we know the distribution for X is given by:
Where
and
We select n =100. Since the distribution for X is normal then we know that the distribution for the sample mean
is given by:
We want this probability:

And we can solve this using the following z score formula:

And if we use this formula we got:

So we can find this probability equivalently like this:
