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Aleks [24]
3 years ago
10

I need help there is a stalker

Mathematics
1 answer:
stepan [7]3 years ago
3 0

Answer:

you really think anyone cares?

Step-by-step explanation:

Step 1- s t o p b e i n g a t r u m p i e

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IgorLugansk [536]
So what we know from that is that angle is 30 degrees south of west. so you go 30 degrees down from west. How can we do this? well <span>basically what you have to do is to break down the force into x and y component. The y component of large force and the y component of small force should cancel so that the boat doesn't go north and south and the x components of both the forces should add up so that it goes west only.</span>
6 0
3 years ago
I mainly need help on 2 please thanks for the first one though
sleet_krkn [62]
2) 1 4/5

3) 2

4) 4 1/3

5) 3 4/8 or 3 1/2

6) 6 2/8
7 0
3 years ago
Please help. I added a picture.
tangare [24]

its the 3rd answer i think

3 0
3 years ago
Read 2 more answers
Fred buys a video game disk for 4$. there was a discount of 20%. what is the sales price?
enyata [817]
The answer is this: $3.60

4 x 10 = 40 - 0.4 = 3.6 



4 0
3 years ago
Read 2 more answers
The probability mass function of X is f(x)= 1/6, x 1.2...,6 then find out the value
Mumz [18]

For the given probability mass function of X, the mean is 3.5 and the standard deviation is 1.708.

  • A discrete random variable X's probability mass function (PMF) is a function over its sample space that estimates the likelihood that X will have a given value. f(x)=P[X=x].
  • The total of all potential values for a random variable X, weighted by their relative probabilities, is known as the mean (or expected value E[X]) of that variable.
  • Mean(μ) = 1(1/6) + 2(1/6) + 3(1/6) + 4(1/6) + 5(1/6) + 6(1/6).
  • Mean(μ) = (1+2+3+4+5+6)/6
  • Mean(μ) = 21/6
  • Mean(μ) = 3.5
  • The square root of the variance of a random variable, sample, statistical population, data collection, or probability distribution represents its standard deviation. It is denoted by 'σ'.
  • A random variable's variance (or Var[X]) is a measurement of the range of potential values. It is, by definition, the squared expectation of the distance between X and μ. It is denoted by 'σ²'.
  • σ² = E[X²]−μ²
  • σ² = [1²(1/6) + 2²(1/6) + 3²(1/6) + 4²(1/6) + 5²(1/6) + 6²(1/6)] - (3.5)²
  • σ² = [(1² + 2²+ 3² + 4²+ 5²+ 6²)/6] - (3.5)²
  • σ² = [(1 + 4 + 9 + 16 + 25 + 36)/6] - (3.5)²
  • σ² = (91/6) - (3.5)²
  • σ² = 15.167-12.25
  • σ² = 2.917
  • σ = √2.917
  • Standard deviation (σ) = 1.708

To learn more about variance, visit :

brainly.com/question/14116780

#SPJ9

6 0
2 years ago
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