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iren2701 [21]
3 years ago
12

Can two dot plot have the same median and range but have completely shapes?

Mathematics
1 answer:
aliya0001 [1]3 years ago
5 0
Yes because the median and range are not a function of the totality of the sample set, the median is just value that is halfway of the set.

Hope this helps :)
~Davinia.
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Is it possible to divide <br> 0 by 27<br> ?
Mumz [18]

Answer:

No. Dividing by 0 is not rational, no number works.

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3 years ago
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How to work out the volume of a cone?
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Volume of a cone = πr²h/3. π=3.14 R=radius. hope this helps you :)
4 0
4 years ago
The distribution of resistance for resistors of a certain type is known to be normal, with 10% of all resistors having a resista
baherus [9]

Answer:

The mean is 9.65 ohms and the standard deviation is 0.2742 ohms.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

10% of all resistors having a resistance exceeding 10.634 ohms

This means that when X = 10.634, Z has a pvalue of 1-0.1 = 0.9. So when X = 10.634, Z = 1.28.

Z = \frac{X - \mu}{\sigma}

1.28 = \frac{10.634 - \mu}{\sigma}

10.634 - \mu = 1.28\sigma

\mu = 10.634 - 1.28\sigma

5% having a resistance smaller than 9.7565 ohms.

This means that when X = 9.7565, Z has a pvalue of 0.05. So when X = 9.7565, Z = -1.96.

Z = \frac{X - \mu}{\sigma}

-1.96 = \frac{9.7565 - \mu}{\sigma}

9.7565 - \mu = -1.96\sigma

\mu = 9.7565 + 1.96\sigma

We also have that:

\mu = 10.634 - 1.28\sigma

So

10.634 - 1.28\sigma = 9.7565 + 1.96\sigma

1.96\sigma + 1.28\sigma = 10.645 - 9.7565

3.24\sigma = 0.8885

\sigma = \frac{0.8885}{3.24}

\sigma = 0.2742

The mean is

\mu = 10.634 - 1.28\sigma = 10 - 1.28*0.2742 = 9.65

The mean is 9.65 ohms and the standard deviation is 0.2742 ohms.

8 0
4 years ago
PLEASE HELP WILL MARK BRAINLIST!
storchak [24]
Every single one of those polynomials factors.  When factored, your expression looks like this: \frac{(3x-7)(x+3)}{x+3)(x-2)} * \frac{(2x+7)(x+9)}{(3x-7)(2x+7)}.  When you cancel the like factors out, what you're left with is this: \frac{1x+9}{1x-2}.  That means that b = 9, c = 1, and d = -2
7 0
3 years ago
Which estimate is closest to the actual value?
Rzqust [24]

Answer:

Answer is -6.9

Step-by-step explanation:

I hope it's helpful!

3 0
3 years ago
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