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-Dominant- [34]
1 year ago
6

Sadie models her

Mathematics
2 answers:
vodomira [7]1 year ago
8 0

Answer: (11, 7.5)

Step-by-step explanation:

((8, 12)+(14, 3))/2=

(8+14, 12+3)/2=

(22/2, 15/2)=(11, 7.5)

Katyanochek1 [597]1 year ago
8 0

Answer: (11, 7.5) or (11, 15/2)

Step-by-step explanation:

Slope:

\frac{12-3}{8-14} =\frac{9}{-6} =\boxed{-\frac{3}{2} }

to find halfway between the vertical distance do

(12-3)/2=9/2=4.5 + 3 = 7.5

To find the horizontal distance do

(14-8)/2 + 8=6/2 + 8 = 3 + 8 = 11

\boxed{\therefore\ \ \ the\ coordinates\ are\ (11,\frac{15}{2} ).}

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A model car is built to a scale of 1 in. : 2.5 ft. If the model is 5.8 in. Long how long is the car in real life?
Mnenie [13.5K]

Answer:

14.5 ft

Step-by-step explanation:

We are told that the model car is built to a scale of 1 in. : 2.5 ft.

That means 1 inches represents 2.5 ft in actual measurement.

Thus, for a 5.8 inch long model, the real life measurement is;

(5.8 inch × 2.5 ft)/1 inch = 14.5 ft

4 0
3 years ago
Answer the question below. Be sure to show your work
likoan [24]

ANSWER:

We have to find new side-lengths of PQR triangle.

Original sides are.

\begin{gathered} PQ\text{ = 8cm} \\ QR=17\operatorname{cm} \\ RP=15\operatorname{cm} \end{gathered}

After multiplying by 2.5 we get

\begin{gathered} PQ^{\prime}=2.5\times PQ=(8\times2.5)cm=20\operatorname{cm} \\ QR^{\prime}=(17\times2.5)cm=42.5\operatorname{cm} \\ RP^{\prime}=(15\times2.5)cm=37.5\operatorname{cm} \end{gathered}

These are the new sides of the P'Q'R' triangle.

5 0
1 year ago
LCM of 56f³g² and 70fg³.<br><br> A. 7fg²<br> B. 7f³g³<br> C. 280f³g³<br> D. 280fg²
nlexa [21]
It’s most likely answer D
6 0
3 years ago
You flip a coin three times in a row. What is the probability you will get three tails?
Romashka-Z-Leto [24]

Answer:

50/50

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
Suppose that are Yi.....Yn are i.i.d random variables with a Nâ(âμY, Ï^2Y â) distribution. How would the probability density of
svp [43]

Answer:

b. As the sample size â increases, the variance of decreases. â So, the distribution of becomes highly concentrated around.

Step-by-step explanation:

Let : Yi,.... Yn are = i.i.d are random variables. The probability density of the distribution varies along with the sample size. When the sample size changes, the probability density of $E^3$ also changes.

The probability distribution may be defined as the statistical expression which defines the likelihood of any outcome for the discrete random variable and it can be opposed to the continuous random variable.

In the context, when the size of the sample of the distribution size increases, it causes a decrease in the variance and so the distribution becomes highly concentrated around.

5 0
2 years ago
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