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3 years ago

I need help ASAP

Mathematics

1 answer:

ra1l [238]3 years ago

6 0

Answer:

x =y-3 x=y-3 x=y-3 x=3

2 (y-3) + y= 12 => 3y= 18 => y= 6 => y=6

Step-by-step explanation:

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What is the solution set for the following inequality? 4x – 3 + 6x > 5x + 7

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Answer:

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Step-by-step explanation:

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3 years ago

Can anyone help me please?

andrey2020 [161]

Step-by-step explanation:

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3 years ago

As part of quality control, a pharmaceutical company tests a sample of manufacturer pills to see the amount of active drug they

ryzh [129]

Answer:

The z statistic is 0.23.

Step-by-step explanation:

Test statistic (z) = (sample mean - population mean) ÷ sd/√n

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4 years ago

An automobile manufacturer has given its jeep a 51.3 miles/gallon (MPG) rating. An independent testing firm has been contracted

Nitella [24]

Answer:

The p-value of the test is 0.2262 > 0.02, which means that the decision is to fail to reject the null hypothesis.

Step-by-step explanation:

An automobile manufacturer has given its jeep a 51.3 miles/gallon (MPG) rating.

At the null hypothesis, we test if the mean is of 51.3, that is:

$H_0: \mu = 51.3$

An independent testing firm has been contracted to test the actual MPG for this jeep since it is believed that the jeep has an incorrect manufacturer's MPG rating.

This means that at the alternative hypothesis, we test if the mean is different of 51.3, that is:

$H_0: \mu \neq 51.3$

The test statistic is:

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

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

51.3 is tested at the null hypothesis:

This means that $\mu = 51.3$

After testing 230 jeeps, they found a mean MPG of 51.1. Assume the population variance is known to be 6.25.

This means that $n = 230, X = 51.1, \sigma = \sqrt{6.25} = 2.5$

Value of the test statistic:

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

$z = \frac{51.1 - 51.3}{\frac{2.5}{\sqrt{230}}}$

$z = -1.21$

P-value of the test and decision:

The p-value of the test is the probability of the sample mean differing from 51.1 by at least 0.2, which is P(|z| > 1.21), which is 2 multiplied by the p-value of z = -1.21.

Looking at the z-table, z = -1.21 has a p-value of 0.1131.

2*0.1131 = 0.2262

The p-value of the test is 0.2262 > 0.02, which means that the decision is to fail to reject the null hypothesis.

8 0

3 years ago