Solve for h ab - s - 2d - 3t = 4h ? = h

Mathematics

1 answer:

mr Goodwill [35]3 years ago

5 0

To get a single h, all you have to do is divide everything by 4
so h = $\frac{ab -s -2d- 3t}{4}$

You might be interested in

The degree of the function f(x) = -(x + 1)2(2x - 3)(x + 2)2 is<br> , and its y-intercept is

Serggg [28]

Answer:

Degree = 5

Y intercept = 12

Step-by-step explanation:

our function is given as

$f(x)=-(x+1)^2 \cdot (2x-3) \cdot (x+2)^2$

in the above polynomial our variable is x and it is being multiplied for 5 times. Hence the probable degree for the above polynomial is 5

In order to find the y intercept , we need to put x=0 in f(x) as y intercept is the point at which the function graphically meets y axis and where x = 0

Hence

$f(0)=-(0+1)^2 \cdot (2(0)-3) \cdot (0+2)^2$

$f(0)=-(1)^2 \cdot (0-3) \cdot (2)^2$

$f(0)=-1 \cdot (-3) \cdot 4$

$f(0)=3 \cdot 4$

$f(0)=3 \times 4$

$f(0)=12$

Hence the y intercept is 12 units

6 0

3 years ago

A 6 sided die was rolled 9 times. What is the mode of these rolls?

yuradex [85]

That 1,2,3,4,5,6 is one the die and it has a chance to at least get all the numbers at least once but u dont have enough data so i can help u more.

6 0

3 years ago

MNMNMNMNMMMNMNMNMNMNMNMMNMNMN

IrinaVladis [17]

All you have to do is divide each one by its other number. For example, 5.60 for 8 is the same as one for 0.70. We accomplish this by dividing the 5.60 by 8.
So...
0.70
0.80
0.90
0.75
The first choice is the lowest.

6 0

3 years ago

The probability that a certain hockey team will win any given game is 0.3723 based on their 13 year win history of 385 wins out

Whitepunk [10]

Answer:

0.1505 = 15.05% probability that the hockey team wins 6 games in November

Step-by-step explanation:

For each game, there are only two possible outcomes. Either the team wins, or it does not. The probability of winning a game is independent of winning other games. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$