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Usimov [2.4K]
3 years ago
11

Write the ratio as a fraction in simplest form 4 to 56

Mathematics
1 answer:
Lemur [1.5K]3 years ago
4 0

Answer:

1 / 14

Step-by-step explanation:

4 / 56 = 1 / 14

4 / 4 = 1

56 / 4 = 14

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What is the distance between the points (3, 2) and (7,5)?
Lynna [10]

Answer:

5

Step-by-step explanation:

d=√(7−3)^2+(5−2)^2

d=√(4)^2+(3)^2

d=√16+9

d=2–√5

d=5

6 0
3 years ago
Read 2 more answers
I plugged in 4 for the derivative function but I’m getting the wrong answer?
Georgia [21]

Answer:

8.6615988

Step-by-step explanation:

f(x) = 3 sin (x) / ( 1 + cos x)

To find the derivative   bottom * d/ dx top  - top d/dx bottom  all over the bottom squared

d/dx = 3 ( ( 1 + cos x)  cos x - sin x( - sin x))   / ( 1 + cos x) ^2

         = 3 ( cos x + cos ^2 x + sin ^2 x)   / ( 1 + cos x) ^2

         = 3 ( 1 + cos  x) /  ( 1 + cos x) ^2

         = 3 / ( 1 + cos x)

Let x = 4

3  /  ( 1 + cos 4)

Assuming x is in radians

3/.346356

8.6615988

8 0
3 years ago
$18.79 + $2.11 + ‐$1.92 + $17.28
tester [92]
I think it’s 36.26 .
7 0
3 years ago
Independent Events
Liula [17]

Answer:

The approximate probability of winning 4 games in a row is 0.012

Step-by-step explanation:

From the question, the probability of winning the shell games if you randomly pick is 1 in 3, that is,

P(Win) = 1/3

Now, the probability of winning 4 games in a row will be

P (winning 4 games in a row) = P(winning 1st game) × P(winning 2nd game) × P(winning 3rd game) × P(winning 4th game)

P (winning 4 games in a row) = (1/3) × (1/3) × (1/3) × (1/3)

P (winning 4 games in a row) = 1/81 or 0.012

Hence, the approximate probability of winning 4 games in a row is 0.012

6 0
3 years ago
40 POINTS- Are a logistic equation and a logistic regression model the same thing? If not, what's the difference?
pychu [463]

Answer: They are diffrent

Step-by-step explanation: The logistic equation was first published by Pierre Verhulst in 1845. This differential equation can be coupled with the initial condition P(0) = P0 to form an initial-value problem for P(t). Suppose that the initial population is small relative to the carrying capacity. Then P K is small, possibly close to zero.

The logistic regression coefficients are the coefficients b 0, b 1, b 2,... b k of the regression equation: An independent variable with a regression coefficient not significantly different from 0 (P>0.05) can be removed from the regression model (press function key F7 to repeat the logistic regression procedure).

By the way, this is copied from the internet.

8 0
3 years ago
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