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Dima020 [189]
3 years ago
13

What’s the answer????

Mathematics
1 answer:
BlackZzzverrR [31]3 years ago
7 0

Answer:

1. 0.6

2. 0.25

Step-by-step explanation:

because math

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PLS HELP DUE IN 1 HOUR <br><br> write the expression using positive exponents <br> 1/3^-5
drek231 [11]
<h3>Answer:   3^5</h3>

Explanation:

The rule used is \left(\frac{a}{b}\right)^{-c}  = \left(\frac{b}{a}\right)^{c}

That rule says to go from a negative exponent to a positive exponent, we apply the reciprocal of the fraction.

So,

\left(\frac{1}{3}\right)^{-5} = \left(\frac{3}{1}\right)^{5} = 3^5

4 0
2 years ago
The domain is x≥ 2 and the range is y≥ 5. The domain is x≥ 2 and the range is y≥ 6. The domain and range are all positive real n
Dmitry [639]

Answer:

A

Step-by-step explanation:

4 0
2 years ago
How do I get it (it’s worth 3 marks)
Stella [2.4K]

Answer:

58.5

Step-by-step explanation:

6.5*9=58.5

3 0
2 years ago
Amber has 36 smarties to share among herself and 3 friends. How many smarties will each of them Receive?
ki77a [65]
There are 4 people in total
(including herself)
so 36 smarties should be evenly distributed among 4 people

so answer = 36/4 = 9
7 0
2 years ago
A person's blood glucose level and diabetes are closely related. Let x be a random variable measured in milligrams of glucose pe
soldier1979 [14.2K]

Using the normal distribution, it is found that:

a) 0.8599 = 85.99% probability that x is more than 60.

b) 0.1788 = 17.88% probability that x is less than 110.

c) 0.6811 = 68.11% probability that x is between 60 and 110.

d) 0.0643 = 6.43% probability that x is greater than 125.

In a normal distribution with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

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

  • It 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, which is the percentile of X.

In this problem:

  • The mean is of 87, thus \mu = 87.
  • The standard deviation is of 25, thus \sigma = 25.

Item a:

This probability is <u>1 subtracted by the p-value of Z when X = 60</u>, thus:

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

Z = \frac{60 - 87}{25}

Z = -1.08

Z = -1.08 has a p-value of 0.1401.

1 - 0.1401 = 0.8599

0.8599 = 85.99% probability that x is more than 60.

Item b:

This probability is the <u>p-value of Z when X = 110</u>, thus:

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

Z = \frac{110 - 87}{25}

Z = 0.92

Z = 0.92 has a p-value of 0.8212.

1 - 0.8212 = 0.1788.

0.1788 = 17.88% probability that x is less than 110.

Item c:

This probability is the <u>p-value of Z when X = 110 subtracted by the p-value of Z when X = 60</u>.

From the previous two items, 0.8212 - 0.1401 = 0.6811.

0.6811 = 68.11% probability that x is between 60 and 110.

Item d:

This probability is <u>1 subtracted by the p-value of Z when X = 125</u>, thus:

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

Z = \frac{125 - 87}{25}

Z = 1.52

Z = 1.52 has a p-value of 0.9357.

1 - 0.9357 = 0.0643.

0.0643 = 6.43% probability that x is greater than 125.

A similar problem is given at brainly.com/question/24863330

7 0
2 years ago
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