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3 years ago

14

Construct an equation for the expression: 3 less than 2 times a number is 7. Show the solution to the equation and prove your so

lution to be true through your work.

1 answer:

ElenaW [278]3 years ago

4 0

Answer:

5 x 2 -3 = 7

Step-by-step explanation:

i mean.... thats all

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Last year, Nicholas started babysitting to earn extra spending money. Over the summer, he

Thepotemich [5.8K]

Answer:

25%

Step-by-step explanation:

From the boxplot Given, an earning of $25 or less is represented on the boxplot as the lower quartile of the distribution which is the point at the start of the box. The lower quartile value is the percentage value up to 25% that is the first 25% of the distribution.

Hence, the percentage required = 25%

Hence, Nicholas earned $25 or less about 25% of the time.

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3 years ago

Is 1 and 2 proportional relationships and why or why now ? PleAse answer for brainlest answer !

Ymorist [56]

1 and 2 cannot be proportional because proportional relationship should has a constant relationship

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3 years ago

Use double number lines to find the missing number. Write a percent proportion and solve each problem.

GaryK [48]

Your answer is: 63 is 90% of 70.

The work (if needed) is shown above :)

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3 years ago

Write y=1/6x+7 in standard form using intergers.

Anna71 [15]

Answer:

–x + 6y = 42

Hope this answer is right!

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3 years ago

Rockwell hardness of pins of a certain type is known to have a mean value of 50 and a standard deviation of 1.3. (Round your ans

Maurinko [17]

Answer:

0.0039 is the probability that the sample mean hardness for a random sample of 12 pins is at least 51.

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 50

Standard Deviation, σ = 1.3

Sample size, n = 12

We are given that the distribution of hardness of pins is a bell shaped distribution that is a normal distribution.

Formula:

$z_{score} = \displaystyle\frac{x-\mu}{\sigma}$

Standard error due to sampling =

$=\dfrac{\sigma}{\sqrt{n}} = \dfrac{1.3}{\sqrt{12}} = 0.3753$

P(sample mean hardness for a random sample of 12 pins is at least 51)

$P( x \geq 51) = P( z \geq \displaystyle\frac{51 - 50}{0.3753}) = P(z \geq 2.6645)$

$= 1 - P(z < 2.6645)$

Calculation the value from standard normal z table, we have,

$P(x \geq 51) = 1 - 0.9961= 0.0039$

0.0039 is the probability that the sample mean hardness for a random sample of 12 pins is at least 51.

3 0

3 years ago