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Aleksandr-060686 [28]
3 years ago
15

Help? this is for a friend. all questions please :)

Mathematics
1 answer:
natima [27]3 years ago
6 0
1,2,3 multiply all the numbers
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What is the answer for 5x-2x+8=2+6x+6?
Ede4ka [16]

5x - 2x + 8 = 2 + 6x + 6


Add like terms:

5x - 2x = 3x

2 + 6 = 8


3x + 8 = 6x + 8


To isolate the variable, subtract 6x from both sides of the equation:

3x - 6x = -3x


-3x + 8 = 8


Now subtract 8 from both sides:

8 - 8 = 0


-3x = 0


To finish, divide both sides by -3:

0 ÷ -3x = 0


The answer is x = 0


Hope this helps.

3 0
3 years ago
Read 2 more answers
How do i find the answer to my question…
Aleksandr-060686 [28]

Answer:

1. 15

2. 27

3. 4

4. 72

5. 2

6. 9

7. 1

Step-by-step explanation:

4 0
2 years ago
Read 2 more answers
The lengths of pregnancies are normally distributed with a mean of 266 days and a standard deviation of 15 days. a. Find the pro
MrMuchimi

Answer:

a. 0.313% (0.003134842261), b. 237.79 days (237.788095878)

Step-by-step explanation:

In this case, the length of pregnancies is a normally distributed variable, with a mean of 266 days, and a standard deviation of 15 days.  

A graph showing the distribution, with regions of interest for the answer, is presented below.

<h3>First Part: Find the probability of a pregnancy lasting 307 days or longer.</h3>

To answer the question regarding <em>the probability of a pregnancy lasting 307 days or longer</em>, it is necessary to calculate what the cumulative probability distribution value is at 307 days. By the way, according to the graph below, 307 days are quite far from the population mean (266 days).

Using the function <em>normaldist(266,15).cdf(307)</em>, from free Desmos software on Internet, we find that, at this length (307 days), the sum of all probabilities for all cases at this value is 99.69%  (0.996865157739).

Considering that the total area of the curve is 1, then <em>the probability of pregnancy lasting 307 days or longer</em> is 1 - 0.996865157739 or 0.003134842261 (or 0.00313), approximately 0.313%, a very low probabilty.

This probability is showed as the "light blue" region at the right extreme of the graph.

<h3>Second Part: Find the length that separates premature babies from those who are not premature.</h3>

To find the length that separates premature babies from those who are not premature, it is a question about <em>find the days related with the probability of 3% (or 0.03)</em> to find such premature babies. So, it is a question of finding a percentile (or 100-quantiles): given the cumulative normal distribution curve, what is the value (length of pregnancies) that represents this 3%.

Using the function <em>quantile(normaldist(266,15), 0.03)</em>, from free Desmos software on Internet, we obtained a value of 237.79 days (237.788095878) for the length of pregnacies of premature babies. In other words, those babies whose mothers have a length of pregnancy <em>lower</em> than 237.79 days are considered premature, or this is "the length that separates premature babies from those who are not premature".

The area below 237.79 days is the blue shaded region in the graph below, at the left extreme of it.

4 0
3 years ago
Read 2 more answers
What are the coordinates of point B in the diagram?
shusha [124]
Might be A, I don’t know.
6 0
3 years ago
Analyze the graph of the function f(x) to complete the statement.
Burka [1]

The function f(x) is less than 0 at x < -1.8

<h3>How to analyze the graph?</h3>

The missing graph is added as an attachment

The interval where f(x) < 0 are the intervals where the y value of the function is less than 0.

This in other words, represent the negative y-axis

From the attached graph, the function f(x) is less than 0 at x < -1.8.

This extends till x = infinity

Hence, the function f(x) is less than 0 at x < -1.8

Read more about function interval at:

brainly.com/question/27831985

#SPJ1

6 0
2 years ago
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