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Tema [17]
3 years ago
8

The discount on a new refrigerator was $190. This was a discount of 11 %.

Mathematics
1 answer:
7nadin3 [17]3 years ago
6 0

158.954 is the answer

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4/5 divided by 1/10?
Evgesh-ka [11]

Answer:

the answer to the question is 8

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Can anyone give me a geometric sequence will give brainlinest and need sequence of 6
snow_lady [41]

Answer:

3, 6, 9, 12, 15, 18

Step-by-step explanation:

If you count by threes you can make a Geometric Sequence of 6.

Final answer: 3, 6, 9, 12, 15, 18.

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3 years ago
The mean annual income for people in a certain city is 37 thousand dollars, with a standard deviation of 28 thousand dollars. A
Aloiza [94]

Answer:

P( 31 < \bar X< 41)

And we can ue the z score formula given by:

z= \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And using this formula we got for the limits:

z = \frac{31-37}{\frac{28}{\sqrt{50}}}= -1.515

z = \frac{41-37}{\frac{28}{\sqrt{50}}}= 1.01

So we want to find this probability:

P(-1.515

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 annual income of a population, and for this case we know the following info:

\mu=37 and \sigma=28  and we are omitting the zeros from the thousand to simplify calculations

We select a sample size of n=50>30.

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

From the central limit theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And we want to find this probability:

P( 31 < \bar X< 41)

And we can ue the z score formula given by:

z= \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And using this formula we got for the limits:

z = \frac{31-37}{\frac{28}{\sqrt{50}}}= -1.515

z = \frac{41-37}{\frac{28}{\sqrt{50}}}= 1.01

So we want to find this probability:

P(-1.515

4 0
3 years ago
How is 7.54÷4= 1.88<br><br>I got 1.88 with the remainder of 2​
Naddika [18.5K]

Answer:

I got 1.885 for the answer.

Maybe they wanted it rounded to just 2 decimal places.

Step-by-step explanation:

4 0
3 years ago
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The graph of which function has a y-intercept of 3? On a coordinate plane, a parabola opens up. It goes through (negative 3, 3),
mixer [17]

Answer:

It is A

Step-by-step explanation:

The guy below is wrong because I got a 100 on the quiz on Edge.

4 0
3 years ago
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