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sertanlavr [38]
3 years ago
15

The expression ''5 factorial" (5!) Equals

Mathematics
1 answer:
lyudmila [28]3 years ago
4 0

Answer:

5 factorial equals 120.

Step-by-step explanation:

5*4*3*2*1=120

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 A plane pencil and a colored pencil together cost 30 cents The colored pencil cost 10 Cents more then the plane pencil how
Serjik [45]

Answer: the plain pencil costs 10 cents and the colored pencil costs 20 cents

8 0
3 years ago
Cuanto es 15x6 y 7x8 y 9x3?
Nadusha1986 [10]
15 times 6 = 90, 7 times 8 = 56, 9 times 3 = 37 or all of them together equals 153 :)
7 0
3 years ago
How do you write 30.0 in scientific notation? ____× 10^_____
Pie

Answer:

It's written as

3 \times  {10}^{1}

Hope this helps you

8 0
3 years ago
Read 2 more answers
At the movies, a couple bought 2 medium drinks and a large popcorn for $13.85. At the same theater, a family bought 3 medium dri
yawa3891 [41]

Answer:

cost of one medium drink = $3.80

cost of one large popcorn = $6.25

Step-by-step explanation:

Let D = cost of one medium drink

Let P = cost of one large popcorn

If a couple bought 2 medium drinks and a large popcorn for $13.85:

⇒ 2D + P = 13.85

If a family bought 3 medium drinks and 2 large popcorn for a total of $23.90:

⇒ 3D + 2P = 23.90

Rewrite 2D + P = 13.85 to make P the subject:

⇒ P = 13.85 - 2D

Substitute into 3D + 2P = 23.90 and solve for D:

⇒ 3D + 2(13.85 - 2D) = 23.90

⇒ 3D + 27.7 - 4D = 23.90

⇒ D = 3.8

Substitute found value of D into P = 13.85 - 2D to find P:

⇒ P = 13.85 - (2 x 3.8) = 6.25

Therefore,

cost of one medium drink = $3.80

cost of one large popcorn = $6.25

3 0
2 years ago
The data set represents a progression of hourly temperature measurements.Use the regression equation to predict the temperature
zimovet [89]
I will attach google sheet that I used to find regression equation.
We can see that linear fit does work, but the polynomial fit is much better.
We can see that R squared for polynomial fit is higher than R squared for the linear fit. This tells us that polynomials fit approximates our dataset better.
This is the polynomial fit equation:
T(h)=20.2-3.6h-0.875h^2
I used h to denote hours. Our prediction of temperature for the sixth hour would be:
T(6)=20.2-3.6(6)-0.875(6)^2=-32.9
Here is a link to the spreadsheet  (<span>https://docs.google.com/spreadsheets/d/17awPz5U8Kr-ZnAAtastV-bnvoKG5zZyL3rRFC9JqVjM/edit?usp=sharing)</span>

4 0
3 years ago
Read 2 more answers
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