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3 years ago

Help me pls. for both of them what is j+20≤ 44= k-30>15=

Mathematics

1 answer:

AveGali [126]3 years ago

5 0

J _< 24
i don’t know how to do the 2nd one

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Analyze the results of the correlation using the given residual plot.

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3 years ago

Percentages:

klasskru [66]

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3 years ago

A muffin recipe, which yields 12 muffins, calls for 2/4 cup of milk for every 1 3/4 cups of flour. The same recipe calls for 1/4

mezya [45]

Answer:

b) 4 3/8

Step-by-step explanation:

we know that

12 muffins calls for 1 3/4 cups of flour

using proportion

Find out how much flour will be needed in the mix for a bath of 30 muffins

$\frac{12}{1\frac{3}{4}}=\frac{30}{x}\\\\x=30(1\frac{3}{4})/12$

Convert mixed number to an improper fraction

$1\frac{3}{4}=1+\frac{3}{4}=\frac{7}{4}$

substitute

$x=30(\frac{7}{4})/12\\\\x=\frac{210}{48}\ cups\ of\ flour$

convert to mixed number

$\frac{210}{48}=\frac{192}{48}+\frac{18}{48}=4\frac{3}{8}\ cups\ of\ flour$

7 0

3 years ago

Solve the equations below for x. Please show your math work step by step.

strojnjashka [21]

Answer:

x = 14 and x = - 7

Step-by-step explanation:

Not that + (- ) = -

(a)

x + (- 4) = 10, that is

x - 4 = 10 ( add 4 to both sides )

x = 14

(b)

2x - 10 = - 24 ( add 10 to both sides )

2x = - 14 ( divide both sides by 2 )

x = - 7

8 0

4 years ago

Sales at a fast-food restaurant average $6,000 per day. The restaurant decided to introduce an advertising campaign to increase

Akimi4 [234]

Answer:

The value of the test statistic is 2.8.

Step-by-step explanation:

The test statistic is:

$z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}$

In which X is the sample mean, $\mu$ is the value expected value for the population mean, $\sigma$ is the standard deviation and n is the size of the sample.

Sales at a fast-food restaurant average $6,000 per day

This means that $\mu = 6000$

Sample of 49

This means that $n = 49$

The sample showed average daily sales of $6,400.

This means that $X = 6400$

Population standard deviation is about $1,000.

This means that $\sigma = 1000$

The value of the test statistic is

$z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}$

$z = \frac{6400 - 6000}{\frac{1000}{\sqrt{49}}}$

$z = 2.8$

The value of the test statistic is 2.8.

7 0

3 years ago