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Scorpion4ik [409]
3 years ago
11

BRAINLIESTT ASAP! PLEASE HELP ME :)

Mathematics
2 answers:
SVETLANKA909090 [29]3 years ago
8 0

Answer:

Step-by-step explanation:

alisha [4.7K]3 years ago
3 0

Answer:

\displaystyle -\frac{1}{3} ≥ y

Step-by-step explanation:

\displaystyle \frac{-3(5y - 4)}{-3} ≥ \frac{17}{-3}

5y - 4 ≤ –5⅔

+ 4 + 4

__________

\displaystyle \frac{5y}{5} ≤ \frac{-1\frac{2}{3}}{5} \\ \\ y ≤ -\frac{1}{3}

Whenever you divide\multiply by a negative, you reverse the inequality symbol.

* Use the zero-interval test [test point (0, 0)] to determine whether we shade the opposite portion [the portion that does not contain the origin] or the portion that DOES contain the origin. This is where we verify the inequality as false or true:

\displaystyle 0 ≰ -\frac{1}{3}

This is a false statement, so we shade the opposite portion of the line.

I am joyous to assist you anytime.

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How does a digit in the 10 thousand place compared toa digit in the 10 place
choli [55]
For example, in the number 14,509, fourteen thousand five hundred and nine, 1 is in the ten thousands place, and zero is in the tens place. 

                     1 4, 5 0 9
ten thousand^   ten^
6 0
3 years ago
In 2019 Lee began working as a nurse anesthetist with a taxable income of $142,545. The Medicare tax was 1.45% and the Social Se
9966 [12]

Answer:

free points

Step-by-step explanation:

thanksssss for the points

4 0
3 years ago
Answer please! Thanks so much! :)
DanielleElmas [232]
320 is the correct answer
5 0
2 years ago
Thickness measurements of ancient prehistoric Native American pot shards discovered in a Hopi village are approximately normally
sasho [114]

Answer:

a) P(X

P(z

b) P(X>7.0)=P(\frac{X-\mu}{\sigma}>\frac{7-\mu}{\sigma})=P(Z1.47)

P(z>1.47)=1-P(z

c)  P(3

P(-0.882

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Part a

Let X the random variable that represent the thickness of a population, and for this case we know the distribution for X is given by:

X \sim N(4.5,1.7)  

Where \mu=4.5 and \sigma=1.7

We are interested on this probability

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X

And we can find this probability using excel or the normal standard table:

P(z

Part b

We are interested on this probability

P(X>3.0)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X>7.0)=P(\frac{X-\mu}{\sigma}>\frac{7-\mu}{\sigma})=P(Z1.47)

And we can find this probability using excel or the normal standard table:

P(z>1.47)=1-P(z

Part c

P(3

And we can find this probability using excel or the normal standard table liek this:

P(-0.882

3 0
3 years ago
Employees at an office were surveyed about what types of hot beverages they drank that day. It was found that 50% of them drank
Wittaler [7]

Answer:

65%

Step-by-step explanation:

No, the events "drank coffee" and "drank tea" are not mutually exclusive, as there are 10% of employees drank both coffee and tea.

If there are 50% drank coffee and 10% of them enjoy both, then there are 40% of the employees enjoy only coffee.

Similarly, there are 15% of employees who only enjoy tea.

Then the probability of selecting a person who only enjoy tea or coffee is

40% + 15% = 65%

5 0
3 years ago
Read 2 more answers
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