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lukranit [14]
2 years ago
14

Solve the equation: 7x = 7.7 x = ?

Mathematics
2 answers:
pochemuha2 years ago
8 0
Answer: 1.1

Explanation:
7x = 7.7
you divide by 7 on both sides to isolate x.
7x/7 = 7.7/7
Therefore,
x = 1.1
vladimir1956 [14]2 years ago
6 0

Answer:

The value of x in the equation is 1.1

Step-by-step explanation:

7x = 7.7

Divide 7 on both sides of the equation.

x = 1.1

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The perimeter of a square is 56 cm. What is the approximate length of its diagonal?
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S = 56 cm
s / 4 

= 56/4
= 14.0 cm

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The difference of the range and the interquartile range of the data set represented by the box plot is
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The cost C (in dollars) of building a house is related to the number k of carpenters used and the number e of electricians used
riadik2000 [5.3K]
C = 15000 + 50k^2 + 60e^2 \Rightarrow \\
\frac{dC}{de} = \frac{d}{de} 50k^2  + \frac{d}{de} 60e^2 \Rightarrow \\
\frac{dC}{de} =  100k\frac{dk}{de}  +  120e\\
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0 = 100k\frac{dk}{de}  +  120e\ \Rightarrow\ -120e = 100k\frac{dk}{de}  \ \Righarrow \\ \frac{dk}{de} = -\frac{6e}{5k}  \\



find k when e = 15

100000 = 15000 + 50k^2 + 60(15)^2 \Rightarrow k = \sqrt{1430}

\frac{dk}{de} = -\frac{6e}{5k} = -\frac{6(15)}{5\sqrt{1430}} = -0.476

inst rate of carpenters with 15 <span>electricians:</span> decreasing at 0.476 carpenters per electrician

7 0
3 years ago
M/PF Research, Inc. lists the average monthly apartment rent in some of the most expensive apartment rental locations in the Uni
xz_007 [3.2K]

Answer:

(a) $1,020 or more = 0.2358

(b) Between $880 and $1,130 = 0.7389

(c) Between $830 and $940 = 0.3524

(d) Less than $770 = 0.0294

Step-by-step explanation:

We are given that According to M/PF Research, Inc. report, the average cost of renting an apartment in Minneapolis is $951.

Suppose that the standard deviation of the cost of renting an apartment in Minneapolis is $96 and that apartment rents in Minneapolis are normally distributed.

<em>Let X = apartment rents in Minneapolis</em>

So, X ~ Normal(\mu=$951,\sigma^{2} =$96^{2})

The z score probability distribution for normal distribution is given by;

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

where,  \mu = average cost of renting an apartment = $951

            \sigma = standard deviation = $96

(a) Probability that the price is $1,020 or more is given by = P(X \geq $1,020)

    P(X \geq $1,020) = P( \frac{X-\mu}{\sigma} \geq \frac{1,020-951}{96} ) = P(Z \geq 0.72) = 1 - P(Z < 0.72)

                                                               = 1 - 0.76424 = 0.2358

<em>The above probability is calculated by looking at the value of x = 0.72 in the z table which gives an area of 0.76424.</em>

<em />

(b) Probability that the price is between $880 and $1,130 is given by = P($880 < X < $1,130) = P(X < $1,130) - P(X \leq 880)

    P(X < $1,130) = P( \frac{X-\mu}{\sigma} < \frac{1,130-951}{96} ) = P(Z < 1.86) = 0.96856

     P(X \leq $880) = P( \frac{X-\mu}{\sigma} \leq \frac{880-951}{96} ) = P(Z \leq -0.74) = 1 - P(Z < 0.74)

                                                         = 1 - 0.77035 = 0.22965

<em>The above probability is calculated by looking at the value of x = 1.86 and x = 0.74 in the z table which gives an area of 0.96856 and 0.77035 respectively.</em>

<em />

Therefore, P($880 < X < $1,130) = 0.96856 - 0.22965 = 0.7389

<em />

(c) Probability that the price is between $830 and $940 is given by = P($830 < X < $940) = P(X < $940) - P(X \leq 830)

    P(X < $940) = P( \frac{X-\mu}{\sigma} < \frac{940-951}{96} ) = P(Z < -0.11) = 1 - P(Z \leq 0.11)

                                                          = 1 - 0.5438 = 0.4562

     P(X \leq $830) = P( \frac{X-\mu}{\sigma} \leq \frac{830-951}{96} ) = P(Z \leq -1.26) = 1 - P(Z < 1.26)

                                                         = 1 - 0.89617 = 0.10383

<em>The above probability is calculated by looking at the value of x = 0.11 and x = 1.26 in the z table which gives an area of 0.5438 and 0.89617 respectively.</em>

<em />

Therefore, P($830 < X < $940) = 0.4562 - 0.10383 = 0.3524

(d) Probability that the price is Less than $770 is given by = P(X < $770)

    P(X < $770) = P( \frac{X-\mu}{\sigma} < \frac{770-951}{96} ) = P(Z < -1.89) = 1 - P(Z \leq 1.89)

                                                         = 1 - 0.97062 = 0.0294

<em>The above probability is calculated by looking at the value of x = 1.89 in the z table which gives an area of 0.97062.</em>

8 0
2 years ago
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