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Viefleur [7K]
3 years ago
13

ABCD is a rhombus. If m<1=122, then what is the measure of <2 and <3

Mathematics
1 answer:
Svetach [21]3 years ago
4 0
M < 2 will be 180 - 122 =  58 degrees

< 3 is opposite < 1 so it will be = 122 degrees
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Help with math please example 1
hram777 [196]

Answer:

I'm not very sure about this one what icing in probably not going to be right but what I think is that they're not the same because look at the size difference imagine putting an adult's next to a baby that's kind of what it's like the bigger quadrilateral is also the adults while the little one is the baby what do you think about that I probably think that they're not saying

Step-by-step explanation:

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3 0
3 years ago
Julie made $22,$55,38,25 how much did she made ?
Dennis_Churaev [7]
Are you trying to add together everything she made in a span of time? If so:
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7 0
2 years ago
Solve quadratic equation x²-8x-1=0 by formula method​
Alex_Xolod [135]

Answer:

x²-8x-1=0

comparing above equation with ax²+bx+c=0

a=1

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x =  \frac{ - b +  -  \sqrt{ {b}^{2} - 4ac } }{2a}

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taking negative

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6 0
2 years ago
Read 2 more answers
Assume that blood pressure readings are normally distributed with a mean of 115 and a standard deviation of 8. If 100 people are
Sergeu [11.5K]

Answer:

D. 0.9938.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 115 and a standard deviation of 8.

This means that \mu = 115, \sigma = 8

100 people are randomly selected

This means that n = 100, s = \frac{8}{\sqrt{100}} = 0.8

Find the probability that their mean blood pressure will be less than 117.

This is the p-value of Z when X = 117, so:

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

By the Central Limit Theorem

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

Z = \frac{117 - 115}{0.8}

Z = 2.5

Z = 2.5 has a p-value of 0.9938, and thus, the correct answer is given by option D.

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What is the sum of X2-3x+7 and 3x2+5X-9
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