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Elza [17]
3 years ago
6

X= 4 6 12 Plzzz help

Mathematics
2 answers:
kakasveta [241]3 years ago
8 0

Answer:

x = 12

Step-by-step explanation:

3x = 6² = 36

x = 12

Pachacha [2.7K]3 years ago
8 0
Your answer will be x = 12
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Help pretty pretty please :(
Evgen [1.6K]

Answer:

27/20

Step-by-step explanation:

The absolute value of any expression is always positive or zero

3/5 + 3/4

Add the fractions

27/20

Solution

27/20

Alternate form

1 7/20, 1.35

8 0
3 years ago
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Use compatible numbers to estimate the quotient 358 divided by 3
tiny-mole [99]
Find your answer on youtube, and they will shoe you/ teach you how to get the answer.

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4 years ago
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If Amanda made 2 quarts and 3 cups of punch. How many fluid ounces of punch did she make?
leonid [27]

Answer:

88 oz.

Step-by-step explanation:

a quart is 32 oz, and a cup is 8 oz.

32 x 2 = 64

8 x 3 = 24

64 + 24 = 88

8 0
3 years ago
Jordan is a salesperson at the store. Jordan has a base monthly salary of $1,450 and also earns a commission of 5% on his monthl
Alchen [17]

Answer:

350

Step-by-step explanation:

4 0
4 years ago
State University uses thousands of fluorescent light bulbs each year. The brand of bulb it currently uses has a mean life of 600
Ipatiy [6.2K]

Answer:

The test statistic is t = 2.5.

The p-value of the test is of 0.007 < 0.05, which means that the evidence supports the manufacturer's claim at the .05 significance level.

Step-by-step explanation:

Mean life of 600 hours. Test if it is more.

At the null hypothesis, we test if the mean is of 600 hours, that is:

H_0: \mu = 600

At the alternative hypothesis, we test if the mean is of more than 600 hours, that is:

H_1: \mu > 600

The test statistic is:

t = \frac{X - \mu}{\frac{s}{\sqrt{n}}}

In which X is the sample mean, \mu is the value tested at the null hypothesis, s is the standard deviation and n is the size of the sample.

600 is tested at the null hypothesis:

This means that \mu = 600

Suppose 100 bulbs were tested and found to have a mean of 625 hours with a standard deviation of 100.

This means that n = 100, X = 625, s = 100.

Value of the test-statistic:

t = \frac{X - \mu}{\frac{s}{\sqrt{n}}}

t = \frac{625 - 600}{\frac{100}{\sqrt{100}}}

t = 2.5

The test statistic is t = 2.5.

P-value of the test and decision:

The p-value of the test is the probability of finding a sample mean above 625 hours, which is a right-tailed test, with t = 2.5 and 100 - 1 = 99 degrees of freedom.

Using a t-distribution calculator, this p-value is of 0.007.

The p-value of the test is of 0.007 < 0.05, which means that the evidence supports the manufacturer's claim at the .05 significance level.

4 0
3 years ago
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