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2 years ago

Sketch a graph of x + y= -5

Mathematics

1 answer:

olchik [2.2K]2 years ago

5 0

Answer:

Slope:-1

y-intercept:(0,5)

Step-by-step explanation:Hope this helps!!

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A small business employs 6 women and 4 men. The manager randomly selects 3 of them to be on a team. What is the probability that

ElenaW [278]

Total of 10 persons, out of which 6 are women.
So
probability of choosing the first woman = 6/10
probability of choosing the second woman = 5/9
probability of choosing the third woman = 4/8

Since we want all 3 steps to be a success, we need to have success in each of the steps, and the overall probability is given by the multiplication rule:
P(all 3 are women)=6/10*5/9*4/8=120/720=1/6

5 0

3 years ago

Read 2 more answers

PLEASE HELP WHAT IS THE ANSWER SHOW WORK PLEASE !!!

Mrac [35]

Answer:

d = 6.1m

n = 7km

Step-by-step explanation:

To find the variables, use tan

⇒ tan = $\frac{opposite}{adjacent}$

finding d:

⇒tan 63 = $\frac{d}{3.1}$

tan of 63 is 1.963

⇒ 1.963 = $\frac{d}{3.1}$

multiply 3.1 on both sides

⇒ 1.963 x 3.1 = $\frac{d}{3.1}$ x 3.1

⇒ 6.0853 = d

round to the nearest tenth:

⇒ 6.0853 = 6.1

finding n:

⇒ tan 45 = $\frac{7}{n}$

tan of 45 is 1

⇒ 1 = $\frac{7}{n}$

multiply 7 on both sides:

⇒ 1 x 7 = $\frac{7}{n}$ x 7

7 = n

7 0

3 years ago

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The demand for a daily newspaper at a newsstand at a busy intersection is known to be normally distributed with a mean of 150 an

AURORKA [14]

Answer:

171 newspapers.

Step-by-step explanation:

Problems of normally distributed samples are 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.

In this problem, we have that:

$\mu = 150, \sigma = 25$