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pashok25 [27]
3 years ago
6

What is the explicit rule for the sequence? 10.5, 9, 7.5, 6, 4.5, 3, ...

Mathematics
2 answers:
zubka84 [21]3 years ago
7 0

Answer:

The answer to this is: (pic)

Hope this helps someone X D


BartSMP [9]3 years ago
4 0
You can see the answer and solution from the picture

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Which are the solutions of x2 = -5x + 8?
Oksana_A [137]

Answer:

1.27, -6.27 to the nearest hundredth,

or if you require it in exact form,

-2.5 + √14.25,   -2.5 - √14.25.

Step-by-step explanation:

x^2 = -5x + 8

x^2 + 5x  = 8

Competing the square:

(x + 2.5)^2 - 6.25 = 8

(x + 2.5) = 14.25

x + 2.5 = +/-√14.25

x = -2.5 + √14.25,   -2.5 - √14.25

x = -2.5 + 3.77,  -2.5 - 3.77

= 1.27, -6.27.

6 0
3 years ago
Four million, five hundred and sixty thousand in numbers<br>​
Mrrafil [7]

Answer:

4,560,000 is your answer.

~Sophia

4 0
3 years ago
Read 2 more answers
Helppppppppp pleaseeeeeee fasttttt
topjm [15]
I think it’s 104,974
Because PEMDAS,
so first deal with exponents and 3 to the fourth power is 81. 6 to the fourth power is 1,296.
Next in PEMDAS is multiplication and division, so 1,296 times 81 is 104,976. Then 4 divided by 2 is 2.
Finally comes subtraction, 104,976 minus 2 = 104,974
5 0
3 years ago
Read 2 more answers
If tan θ =(√3)/3, 0◦&lt; θ &lt; 360◦,
svetlana [45]
Arctan (√3 /3) = 30°. = π/6 rad

That is the value searched, in degrees and radians.

You can verifiy that tan(30°) = sin(30°) / cos(30°) = [1/2] / [√3/2] = 1/√3 = √3 / 3

 
3 0
3 years ago
The distribution function of the univariate random variable x is continuous at x if and only if p(x
sweet-ann [11.9K]

The distribution function of the univariate random variable x is continuous at x if and only if , F (x) = P (X ≤ x)

Continuous univariate statistical distributions are functions that describe the likelihood that a random variable, say, X, falls within a given range. Let P (a Xb) represent the probability that X falls within the range [a, b].

A numerically valued variable is said to be continuous if, in any unit of measurement, whenever it can take on the values a and b. If the random variable X can assume an infinite and uncountable set of values, it is said to be a continuous random variable.

If X can take any specific value on the real line, the probability of any specific value is effectively zero (because we'd have a=b, which means no range). As a result, continuous probability distributions are frequently described in terms of their cumulative distribution function, F(x).

To learn more about univariated data

brainly.com/question/13415579

#SPJ4

7 0
1 year ago
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