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2 years ago

Can u plzz help me on this question

Mathematics

2 answers:

Kruka [31]2 years ago

8 0

Line of reflection is x=3. They overlap because the image crosses line of reflection.

Zigmanuir [339]2 years ago

7 0

Line is x=3 beuhhhhhhhh

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Solve the quadratic equation for x. What is the product when the roots are multiplied? (x + 2)2 = 1 A) −3 B) −6 C) −9 D) 3

ehidna [41]

Answer:

Step-by-step explanation:

To solve the quadratic equation, use the inverse operation to squaring. This will undo the exponent and allows x to be isolated. The inverse operation is the square root. This is called the square root property of equality.

(x + 2)² = 1

√(x+2)² = √1

(x+2) = ±1

x = 1 -2 and x = -1 - 2

x = -1 and x = -3

The product of the roots -1 and -3 is -1*-3 = 3

8 0

2 years ago

There are 12 tennis racquets and 8 hockey sticks in a gym class. What percent of the gym equipment in the class are hockey stick

katrin2010 [14]

40% of the equipment in the class are hockey sticks

12+8=20
8/20 × 100=40

7 0

3 years ago

TEN POINTS !!!!! if f(x)=x^2-6x and g(x)=x^3 squared what is (fog) (x)

Elena L [17]

Answer:

f(x) = x² - 6x

g(x) = (x³)² = x^6

( f o g) x

Wherever you see x in f(x) replace it by g(x)

That's

( f o g)(x) = (x^6)² - 6(x^6)

= x^12 - 6x^6

Hope this helps

5 0

3 years ago

Suppose you have $15,000 in equipment for your business. You expect

Margarita [4]

I am stuck on this too

6 0

3 years ago

An airplane has 100 seats for passengers. Assume that the probability that a person holding a ticket appears for the flight is 0

zmey [24]

Answer:

96.33% probability that everyone who appears for the flight will get a seat

Step-by-step explanation:

I am going to use the binomial approximation to the normal to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

$E(X) = np$

The standard deviation of the binomial distribution is:

$\sqrt{V(X)} = \sqrt{np(1-p)}$

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .