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krek1111 [17]
3 years ago
6

What is the percent of change from 92 to 108? Round to the nearest percent. [?]%

Mathematics
2 answers:
Law Incorporation [45]3 years ago
7 0

Answer:

14.8148%decrease

Step-by-step explanation:

(92-108)/108×100

=16/108×100

=-0.148148×100

=14.8148%change

=14.8148%decrease

Lady_Fox [76]3 years ago
6 0

Answer:

Change ≈ 17.39

Step-by-step explanation:

When we insert a = 92 and b = 108 in the formula above, then we get the following that we can simplify and solve to get the percent change from 92 to 108.

\sqrt[(108-92)]{92}~ x ~100

\frac{16}{92} ~ x 100 = 17.39

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Pls answer. how did you get it?​
ivann1987 [24]

Answer:

Lowest Price - Store B

Middle Price - Store C

Highest Price - Store A

Step-by-step explanation:

Store A Price - $22.50

25 x 0.1 = 2.5

25 - 2.5 = 22.5

Store B Price - $21.60

27 x 0.2 = 5.4

27 - 5.4 = 21.6

Store C Price - $22.1

26 x 0.15 = 3.9

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5 0
3 years ago
The diameters of ball bearings are distributed normally. The mean diameter is 106 millimeters and the standard deviation is 4 mi
Assoli18 [71]

Answer:

Probability that the diameter of a selected bearing is greater than 111 millimeters is 0.1056.

Step-by-step explanation:

We are given that the diameters of ball bearings are distributed normally. The mean diameter is 106 millimeters and the standard deviation is 4 millimeters.

<em>Firstly, Let X = diameters of ball bearings</em>

The z score probability distribution for is given by;

          Z = \frac{ X - \mu}{\sigma} ~ N(0,1)

where, \mu = mean diameter = 106 millimeters

            \sigma = standard deviation = 4 millimeter

Probability that the diameter of a selected bearing is greater than 111 millimeters is given by = P(X > 111 millimeters)

    P(X > 111) = P( \frac{ X - \mu}{\sigma} > \frac{111-106}{4} ) = P(Z > 1.25) = 1 - P(Z \leq 1.25)

                                                  = 1 - 0.89435 = 0.1056

Therefore, probability that the diameter of a selected bearing is greater than 111 millimeters is 0.1056.

4 0
3 years ago
Will mark Brainliest
gladu [14]

Answer:

B

Step-by-step explanation:

6 0
3 years ago
9. The mass of a dust particle is 0.000000000753 kg, which can be written as 7.53 x 100
never [62]

Answer:

7.53 x 10²

Step-by-step explanation:

10² two time the 10 is 100

4 0
3 years ago
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The waiting time, in hours, between successive speeders spotted by a radar unit is a continuous random variable with cumulative
snow_lady [41]
Given the CDF

F_X(x)=\begin{cases}0&\text{for }x

we have PDF

\dfrac{\mathrm dF_X(x)}{\mathrm dx}=f_X(x)=\begin{cases}0&\text{for }x

Note that X is wait-time given in hours, so we need to convert from minutes to hours:

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so we're looking for \mathbb P\left(X.

The CDF gives us this value right away, since F_X(x)=\mathbb P(X for any continuous random variable X with distribution function F_X(x):

\mathbb P\left(X

To use the PDF, we need to integrate:

\mathbb P\left(X
6 0
3 years ago
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