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Dmitry [639]
2 years ago
11

PLEASEEEE HELPPP i can’t get it

Mathematics
1 answer:
sveta [45]2 years ago
8 0

Answer:

(-4, 2.5)

Step-by-step explanation:

-8/2=-4

5/2=2.5

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Brainliest!! What is the value of x?
Mice21 [21]

Answer

111

Step-by-step explanation:

900-789=111

3 0
3 years ago
Read 2 more answers
Christine Wong has asked Dave and Mike to help her move into a new apartment on Sunday morning. She has asked them both, in case
lozanna [386]

Answer:

0.3339 = 33.39% probability that both Dave and Mike will show up

Step-by-step explanation:

Probability of independent events:

If A and B are independent events, the probability of both happening at the same time is given by:

P(A \cap B) = P(A)P(B)

In this question:

Event A: Dave shows up.

Event B: Mike shows up.

Christine knows that there is a 47% chance that Dave will not show up and a 37% chance that Mike will not show up.

This means that P(A) = 1 - 0.47 = 0.53, P(B) = 1 - 0.37 = 0.63.

a. What is the probability that both Dave and Mike will show up

P(A \cap B) = P(A)P(B) = 0.53*0.63 = 0.3339

0.3339 = 33.39% probability that both Dave and Mike will show up

8 0
2 years ago
Specialty tshirts are being sold for $30.........
kaheart [24]
Equal out the shirts so that u can know what U are doing
3 0
2 years ago
Lowest common factor of 28 and 30
Phoenix [80]

*☆*――*☆*――*☆*――*☆*――*☆*――*☆*――*☆*――*☆**☆*――*☆*――*☆*――*☆

Answer: 2

Explanation:

I hope this helped!

<!> Brainliest is appreciated! <!>

- Zack Slocum

*☆*――*☆*――*☆*――*☆*――*☆*――*☆*――*☆*――*☆**☆*――*☆*――*☆*――*☆

3 0
3 years ago
. Use the statistical features of your calculator to find the mean and the standard deviation to the nearest tenth of a data set
uysha [10]

Answer:

Mean = 1.9

Standard deviation = 0.6

Step-by-step explanation:

The Mean is calculate by the formula:

Mean = \frac{\text{Sum of all the observation}}{\text{Total number of observation}}

⇒ Mean = \frac{24.9+24.7+24.7+23.4+27.9}{5} = 1.85

Thus Mean to the nearest tenth is 1.9

Standard Deviation is the square root of sum of square of the distance of observation from the mean.  

Standard deviation(\sigma) = \sqrt{\frac{1}{n}\sum_{i=1}^{n}{(x_{i}-\bar{x})^{2}} }

where, \bar{x} is mean of the distribution.

Putting all values in the formula, We get

Standard Deviation = 0.597 ≈ 0.6

6 0
3 years ago
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