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Black_prince [1.1K]
3 years ago
7

A video game randomly chooses your car color and type. The probability of

Mathematics
1 answer:
Dennis_Churaev [7]3 years ago
8 0
Maybe it is A i’m not 100 percent sure though
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Use the triangle to answer the question.Find the value of x. Round to the nearest degree.
AlexFokin [52]

Given:

base = 16

hypotenus = 21

\cos \theta=\frac{base}{hypotenus}

Angle = x

\begin{gathered} \cos x=\frac{16}{21} \\ \cos x=0.76 \\ x=\cos ^{-1}(0.76) \\ x\approx40 \end{gathered}

The value of x is 40 degree.

5 0
1 year ago
Solve the quadratic equation numerically (using tables of x- and y- values).
kolezko [41]

(x) (x + 5) = 0

Therefore:

  • x = 0

  • x + 5 = 0
  • x = 0 - 5
  • x = -5

<h2>b.  x = 0 or x = -5</h2>
6 0
3 years ago
Read 2 more answers
There are 30 businesses with 4 executives each for the new office building. each business needs one office for each of its execu
rodikova [14]

Answer:

1 executive for every 12 offices

7 0
3 years ago
If f(x)= 20-3x, then find a if f(a)= -11.
Basile [38]

Answer:

53

Step-by-step explanation:

if f(a)= -11 the the equation is: 20-3(-11)

First, multiply -3 and -11:

20-3×(-11)

20+33

Now, add:

20+33= <u>53</u>

<u></u>

Hope this helps!! <3

6 0
3 years ago
If, for a random sample of 16 days, the sample mean ends up being exactly one standard deviation of x above the population mean,
Rudik [331]

Answer:

The answer to the question is

μx + (σx/4)

Step-by-step explanation:

The sample mean that is one standard deviations above the population mean  is given by

value = μx + (Number of standard deviations)

(σx/√n)

value = μx + 1 (σx/√16)=

=  μx + (σx/4) =

Where

μx = Population mean

σx = Population standard deviation

n = Sample size

The standard error of the mean is

σ/√n =σ/√16 = σ/4

The standard of error is an indication of the expected error in the mean of a sample from the mean of the population.

The above statements is based on the central limit theorem, which states that, in particular instances the normalized sum of independent random variables becomes closer and closer to those of  normal distribution regardless of the variation in the sample of the variables

8 0
3 years ago
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