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3 years ago

I need help 3x + 6 = 3(2 + x)

Mathematics

2 answers:

Anna [14]3 years ago

6 0

Answer:

3x + 6 = 6 + 3x

3x - 3x = 6-6

0 = 0

maw [93]3 years ago

3 0

Answer: x=0

Step-by-step explanation:

Distribute

3x+6=6+6x

Combine like terms

0=0

So 0

Check 3(0)+6=3(2+0)

3(0)=0 0+6=6

2+0=2 2(3)=6

6=6

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4 years ago

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3 years ago

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lyudmila [28]

Using the interpretation of the confidence interval, the correct option is:

We are 95% confident that those who studied had a higher passing rate than those who did not study.

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4 0

2 years ago

The weekly salaries of six employees at McDonalds are $140, $220, $90, $180, $140, $200. For these six salaries, determine: (a)

lys-0071 [83]

Answer:

a) Mean = 161.666667

b)Mode = 140

c) Median =160

d) Range =130

Step-by-step explanation:

Given that the weekly salaries of six employees =$140, $220, $90, $180, $140, $200

Mean =Total number of salaries/ Number of salaries

=$140 +$220 +$90 +$180 + $140 +$200 /6=970/6= 161.666667

Mode = The number with the highest frequency ie the number that occurs most in the listed salaries

$140, $220, $90, $180, $140, $200

Therefore 140 is the mode

Median = The number that occurs in the middle, Now that we have a list of even Numbers, our median would be the sum of the two middle numbers divided by 2 after arranging in ascending order fro least to greatest

$90, $140,$140, $180, $200,$220

Median =$140+ $180 / 2 = 160

Range = The difference between the highest and lowest number in the sample

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3 years ago

A random sample of n 5 4 individuals is selected from a population with m 5 35, and a treatment is administered to each individu

Firdavs [7]

Answer:

5.1

Step-by-step explanation:

Given that:

sample size n = 4

the mean of the original population μ is = 35

and the mean for the sample after treatment M is = 40.1

standard deviation of the sample SS = 48

The difference between the mean for the treated sample and the mean for the original population is therefore calculated as: M - μ

= 40.1 - 35

= 5.1

The standard error of M is = $\dfrac{standard \ deviation \ of \ the \ sample}{\sqrt{sample \ size} }$

The standard error of M is = $\dfrac{SS}{\sqrt{n} }$

The standard error of M is = $\dfrac{48}{\sqrt{4} }$

The standard error of M is = $\dfrac{48}{2 }$

The standard error of M is = 24

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3 years ago