Can u read this sorry s gonna be blurry

A study showed that the ratio of the number of people who get their news from social media to the number of people who their new

Kitty [74]

Answer: 240 people get the news from social media

Step-by-step explanation:

The ratio of the number of people who get their news from social media to the number of people who their news elsewhere is 3:7

Total ratio is the sum of the proportion of those that get their news from social media and those that got their news elsewhere.

It becomes 3+7 = 10

Total number of people in the town is 800

To determine the number of people that got their news from social media, we will divide the proportion of those that get their news from social media by the total ratio and multiply by the total number of people in the town. It becomes

3/10 × 800 = 240

6 0

3 years ago

What is the factored form of 8x^2+12x

Anestetic [448]

Answer:

4x(2x+3)

Step-by-step explanation:

Since the common factor of 8x^2 and 12x is 4x, put that out and separate the distributed remaining factors.

6 0

3 years ago

Can someone help me with this??

Shtirlitz [24]

Answer:

here you go

Step-by-step explanation:

18 is 24c/d^5

19 is 48a^/b^3

/ indicates a fraction

^ indicates an exponent

7 0

3 years ago

If four times of a number is added to seven the result is 92

MA_775_DIABLO [31]

Answer:

22 1/4 or 22.25

Step-by-step explanation:

4x + 7 = 92

4x = 85

x = 22 1/4

8 0

3 years ago

in the unted states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches. If 16

yaroslaw [1]

Answer:

Probability that their mean height is less than 68 inches is 0.0764.

Step-by-step explanation:

We are given that in the united states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches.

Also, 16 men are randomly selected.

Let $\bar X$ = sample mean height

The z-score probability distribution for sample mean is given by;

Z = $\frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }$ ~ N(0,1)

where, $\mu$ = population mean height = 69 inches

$\sigma$ = population standard deviation = 2.8 inches

n = sample of men = 16

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

So, probability that the mean height of 16 randomly selected men is less than 68 inches is given by = P( $\bar X$ < 68 inches)

P( $\bar X$ < 68 inches) = P( $\frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }$ < $\frac{68-69}{\frac{2.8}{\sqrt{16} } }$ ) = P(Z < -1.43) = 1 - P(Z $\leq$ 1.43)

= 1 - 0.9236 = 0.0764

Now, in the z table the P(Z x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.43 in the z table which has an area of 0.92364.

Therefore, probability that their mean height is less than 68 inches is 0.0764.

3 0

3 years ago