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3 years ago

Solve for x: (1/2) + 4/(2x) = (x + 4)/10

Mathematics

1 answer:

Charra [1.4K]3 years ago

8 0

Answer:

x = 5 , − 4

Step-by-step explanation:

Solve the rational equation by combining expressions and isolating the variable x .

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Q4.

goblinko [34]

The coding of the statistic is used to make it easier to work with the large sunshine data set

The mean of the sunshine is 3.05 $\overline 6$

The standard deviation is approximately 18.184

Reason:

The given parameters are;

The sample size, n = 3.

∑x = 947

Sample corrected sum of squares, Sₓₓ = 33,065.37

The mean and standard deviation = Required

Solution:

$Mean, \ \overline x = \dfrac{\sum x_i}{n}$

The mean of the daily total sunshine is therefore;

$Mean, \ \overline x = \dfrac{947}{30} \approx 31.5 \overline 6$

$s = \dfrac{x}{10 } - \dfrac{1}{10}$

$E(s) = \dfrac{Ex}{10 } - \dfrac{1}{10}$

$E(s) = \dfrac{31.5 \overline 6}{10 } - \dfrac{1}{10} = 3.05 \overline 6$

The mean ≈ 3.05 $\overline 6$

Alternatively

, $The \ mean \ of \ the \ daily \ total \ sunshine, \, s = \dfrac{31.5 \overline 6 - 1}{10 } = 3.05\overline 6$

The mean of the daily total sunshine, $\overline s$ ≈3.05 $\overline 6$

$Var(s) = Var \left(\dfrac{x}{10 } - \dfrac{1}{10} \right)$

$Var(s) = \left(\dfrac{1}{10}\right)^2 \times Var \left(x \right)$

Therefore;

$Var(s) = \left(\dfrac{1}{10}\right)^2 \times 33,065.37 = 330,6537$

Therefore;

$s = \sqrt{330.6537} \approx 18.184$

The standard deviation, $s_s$ ≈ 18.184

Learn more about coding of statistic data here:

brainly.com/question/14837870

3 0

2 years ago

Determining hang time

gayaneshka [121]

Answer:

What??

Step-by-step explanation:

4 0

3 years ago

Subtract a + 3 from 3a−5 . Enter your answer in the box.

S_A_V [24]

(3a-5) - (a+3)
Subtract a from 3a while subtracting 3 from 5
Final Answer: 2a - 8

6 0

3 years ago

The table shows the relationship between time spent running and distance traveled in which type of model best describes the rela

crimeas [40]

Answer:

Relationship is linear as r is closest to 1.

Step-by-step explanation:

From statistics we know that,

$\text{Corelation Coefficient}=r=\dfrac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2-(\sum x)^2][n\sum y^2-(\sum y)^2]]}}$

Putting all the values from the table,

we get corelation factor as 0.9995

Therefore, the relationship is linear as r is closest to 1.

8 0

3 years ago

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One half of a cantaloupe was shared equally among 3 people. What fraction of the whole cantaloupe did each person get?

leva [86]

Well when you split something into thirds you get 1/3 or .3

8 0

4 years ago

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