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3 years ago

I don’t understand this

Mathematics

2 answers:

Alexandra [31]3 years ago

5 0

Answer:

-15.41

Step-by-step explanation:

big brain?

BartSMP [9]3 years ago

3 0

Answer:

-13.8

Step-by-step explanation:

6.7ₓ-2.3

Multiply 3 by 7

Multiply 3 by 6

Put a 0 in the ones place

Multiply 2 by 7

Multiply 2 by 6

Add the 2 answers

Add in the negative

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I will give you brainliest if you get this right and 5 stars!!!!Sophie opened a picture of a tree on her cell phone screen and z

nordsb [41]

Answer:

268.8?

may be wrong

4 0

3 years ago

In a sale there is 30% off a pair of jeans. The sale price is £56. What was the price before the sale ?

myrzilka [38]

(1+0.30)=1.30
56 (1.3) = 72.80

The price of the pair jeans before the sale was $72.80

6 0

3 years ago

From past experience, a company has found that in carton of transistors: 92% contain no defective transistors 3% contain one def

jasenka [17]

Answer:

$E(X) = 0*0.92 + 1*0.03 +2*0.03 +3*0.02 = 0.1500$

In order to find the variance we need to find first the second moment given by:

$E(X^2) = \sum_{i=1}^n X^2_i P(X_i)$

And replacing we got:

$E(X^2) = 0^2*0.92 + 1^2*0.03 +2^2*0.03 +3^2*0.02 = 0.3300$

The variance is calculated with this formula:

$Var(X) = E(X^2) -[E(X)]^2 = 0.33 -(0.15)^2 = 0.3075$

And the standard deviation is just the square root of the variance and we got:

$Sd(X) = \sqrt{0.3075}= 0.5545$

Step-by-step explanation:

Previous concepts

The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.

The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).

Solution to the problem

LEt X the random variable who represent the number of defective transistors. For this case we have the following probability distribution for X

X 0 1 2 3

P(X) 0.92 0.03 0.03 0.02

We can calculate the expected value with the following formula:

$E(X) = \sum_{i=1}^n X_i P(X_i)$

And replacing we got:

$E(X) = 0*0.92 + 1*0.03 +2*0.03 +3*0.02 = 0.1500$

In order to find the variance we need to find first the second moment given by:

$E(X^2) = \sum_{i=1}^n X^2_i P(X_i)$

And replacing we got:

$E(X^2) = 0^2*0.92 + 1^2*0.03 +2^2*0.03 +3^2*0.02 = 0.3300$

The variance is calculated with this formula:

$Var(X) = E(X^2) -[E(X)]^2 = 0.33 -(0.15)^2 = 0.3075$

And the standard deviation is just the square root of the variance and we got:

$Sd(X) = \sqrt{0.3075}= 0.5545$

8 0

4 years ago

What is the constant term in the expression 6x^3y + 8x^2 + 5x + 7? (Input a numeric value only.) (3 points)

Zinaida [17]

The constant term is 7. this is because x and y are unknowns and change depending on the other. As 6x^3y will change depending on what x or y is so will: 8x^2 and 5x therefore 7 is the constant term.

7 0

3 years ago

A spinner has 4 equal sections: red, white, blue, and green. John spins the spinner and tosses a

Nataliya [291]

Answer:

Step-by-step explanation:

The sample space should show all the possible outcomes.

The first option includes all 4 colors and both head and tails.

The second option is missing tails as an outcome.

The third option is missing blue.

The fourth option is missing tails.

So it must be the first one.

8 0

3 years ago