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hjlf
3 years ago
11

What is the value of 2x2 when x = 1.5?

Mathematics
2 answers:
mixer [17]3 years ago
7 0

Step-by-step 4.5 ....................

atroni [7]3 years ago
5 0

Answer: 4.50 look at the picture

Step-by-step explanation: Hope this help :D

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Write 1 over 16 as a decimal
mihalych1998 [28]

Answer:

.0625

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
Simplify -x(4x^2 − 6x + 1)
12345 [234]

Answer:

-4x^3+6x^2-x

Step-by-step explanation:

1. Distribute the X across the equation: -x(4x^2)=-4x^3\\

2.-x(-6x)=6x^2

3.-x(1)=-x

3.-4x^3+6x^2-x

3 0
2 years ago
sandy had 3.8 points in the quiz game. she missed 5 questions losing 1 point each time how many points did she have at the end
telo118 [61]

Answer:

-1.2

Step-by-step explanation:

3.8-5=-1.2

lmk if this is right

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8 0
3 years ago
If outliers are discarded, then the retirement savings by residents of Econistan is normally distributed with a mean of $100,000
zavuch27 [327]

Answer:

P(X>117000)=P(\frac{X-\mu}{\sigma}>\frac{117000-\mu}{\sigma})=P(Z>\frac{117000-100000}{20000})=P(z>0.85)

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

P(z>0.85)=1-P(z

The firgure attached illustrate the problem

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".  

Solution to the problem

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

X \sim N(100000,20000)  

Where \mu=100000 and \sigma=20000

We are interested on this probability

P(X>117000)

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>117000)=P(\frac{X-\mu}{\sigma}>\frac{117000-\mu}{\sigma})=P(Z>\frac{117000-100000}{20000})=P(z>0.85)

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

P(z>0.85)=1-P(z

The firgure attached illustrate the problem

7 0
3 years ago
Shifting a graph vertically and horizontally is only possible for certain types of functions.
dusya [7]

Answer:

B.

Step-by-step explanation:

6 0
3 years ago
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