The equation gives the height of the ball. That is, h is the height of the ball. t is the time. Since we are looking for the time at which the height is 8 (h=8), we need to set the equation equal to 8 and solve for t. We do this as follows:




This is a quadratic equation and as it is set equal to 0 we can solve it using the quadratic formula. That formula is:

You might recall seeing this as "x=..." but since our equation is in terms of t we use "t-=..."
In order to use the formula we need to identify a, b and c.
a = the coefficient (number in front of)

= 16.
b = the coefficient of t = -60
c = the constant (the number that is by itself) = 7
Substituting these into the quadratic formula gives us:



As we have "plus minus" (this is usually written in symbols with a plus sign over a minus sign) we split the equation in two and obtain:

and

So the height is 8 feet at t = 3.63 and t=.12
It should make sense that there are two times. The ball goes up, reaches it's highest height and then comes back down. As such the height will be 8 at some point on the way up and also at some point on the way down.
Answer:
they both go into 27 3 times
Step-by-step explanation:
*the scatter plot of the question is attached below
Answer:
Strong negative correlation
Step-by-step explanation:
In the scatter plot attached below, as the variable in the x-axis increases, the variable on the y-axis decreases. Thus, if a line of best fit is drawn, it would show a line that slopes downwards to our right. This shows a negative correlation between both variables in the scatter plot.
Also, we also see that the data points represented on the scatter plot are clustered more closely along the slope, showing strong negative correlation.
Therefore, the phrase that best describes the scatter plot is: strong negative correlation.
Answer:
Step-by-step explanation:
Sample standard deviation is found by steps below.
<u>Find the mean:</u>
- μ = (9 + 15 + 13 + 9 + 15)/5 = 12.2
<u>Find deviations from the mean and their squares:</u>
- 9 - 12.2 = - 3.2 ⇒ (-3.2)² = 10.24
- 15 - 12.2 = 2.8 ⇒ 2.8² = 7.84
- 13 - 12.2 = 0.8 ⇒ 0.8² = 0.64
- 9 - 12.2 = - 3.2 ⇒ (-3.2)² = 10.24
- 15 - 12.2 = 2.8 ⇒ 2.8² = 7.84
<u>Sum the squares:</u>
- 10.24*2 + 7.84*2 + 0.64 = 36.8
<u>Divide by N - 1 (N - number of samples):</u>
<u>Square root is the sample standard deviation:</u>