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skelet666 [1.2K]
2 years ago
14

P1=1*1! P2= 1*1! + 2*2! P3=1*1! + 3*3! Make a general rule for Pn.

Mathematics
1 answer:
soldi70 [24.7K]2 years ago
7 0

Answer:

I don't even know if what you typed is a actual question or not so I'm just gone guess it's....A or B?

Step-by-step explanation:

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Find the circumference.<br> Use 3.14 for n.<br> r = 6 ft<br> C = [?] ft<br> C=Td
Y_Kistochka [10]

In the circumference formula given d is the diameter which is 2 times r ( r is the radius)

R is given as 6 feet, diameter = 2 x 6 = 12 feet.

Circumference = 12 feet x 3.14 = 37.68 feet

5 0
2 years ago
A 20-ounce bag of popcorn costs $2.80. If the unit price stays the same, how much does a 35-ounce bag of popcorn cost?
Wittaler [7]

Answer:

I think the answer is C

4 0
3 years ago
I NEED HELP PLZ!!!!!! 20 POINTS
Amanda [17]

Answer:

1 is c

2 is d

3 is a

Step-by-step explanation:

Sorry it took a bit not pretty good at these but i used an app called desmos and it basically gives the answer

5 0
2 years ago
Find the missing side length image below
barxatty [35]

Answer:

40

Step-by-step explanation:

Based on the Proportional Transversal Theorem, the three parallel lines hat intersects the two transversals, divides the transversal lines proportionally.

Therefore, we would have the following ratio:

28/35 = ?/50

Cross multiply

35*? = 50*28

35*? = 1,400

Divide both sides by 35

? = 1400/35

? = 40

4 0
3 years ago
An art dealer is trying to determine whether the age of a painting plays a significant role in its price at auction. She collect
klasskru [66]

Answer:

-0.20

Step-by-step explanation:

Given the data:

Age at auction (x) ____price sold (y)

391

51

32

84

47

104

88

43

470

51

Y:

76.9

95.4

86.3

49.3

80

57

47.8

80

70

86.9

General formula for a simple linear regression :

y = ab + c

Where ;

y = predicted variable ; a = slope / gradient

b = predictor / independent variable ; c = intercept

From the result obtained from the calculator :

y = -0.01246X + 74.65552

Correlation Coefficient is used to measure the strength of relationship between linear variables.

The regression Coefficient obtained is - 0.20

This shows that there is a weak negative correlation between the age at auction and the price at which painting is sold. This is because the negative sign means that value of y decreases as x increases or vice versa, however, due to a correlation vale which is closer to 0 than 1 or - 1, we can conclude that the negative relationship between the variables is weak.

5 0
2 years ago
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