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ruslelena [56]
3 years ago
11

I need help with 4,5 and 6

Mathematics
1 answer:
Natasha2012 [34]3 years ago
4 0
The answer for #4 is C. 21x-82
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You wish to determine the GPA of students at your school. Describe what process you would go through to collect a sample if you
Black_prince [1.1K]

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simple random sampling

Step-by-step explanation:

6 0
3 years ago
Solve the following<br> 2.87 x 7.8 =
kirill115 [55]

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22.386

Step-by-step explanation:

5 0
3 years ago
The amount of soft drink in a bottle is a Normal random variable. Suppose that in 7% of the bottles containing this soft drink t
WITCHER [35]

Answer:

The mean is 15.93 ounces and the standard deviation is 0.29 ounces.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

7% of the bottles containing this soft drink there are less than 15.5 ounces

This means that when X = 15.5, Z has a pvalue of 0.07. So when X = 15.5, Z = -1.475.

Z = \frac{X - \mu}{\sigma}

-1.475 = \frac{15.5 - \mu}{\sigma}

15.5 - \mu = -1.475\sigma

\mu = 15.5 + 1.475\sigma

10% of them there are more than 16.3 ounces.

This means that when X = 16.3, Z has a pvalue of 1-0.1 = 0.9. So when X = 16.3, Z = 1.28.

Z = \frac{X - \mu}{\sigma}

1.28 = \frac{16.3 - \mu}{\sigma}

16.3 - \mu = 1.28\sigma

\mu = 16.3 – 1.28\sigma

From above

\mu = 15.5 + 1.475\sigma

So

15.5 + 1.475\sigma = 16.3 – 1.28\sigma

2.755\sigma = 0.8

\sigma = \frac{0.8}{2.755}

\sigma = 0.29

The mean is

\mu = 15.5 + 1.475\sigma = 15.5 + 1.475*0.29 = 15.93

The mean is 15.93 ounces and the standard deviation is 0.29 ounces.

6 0
3 years ago
Is 5 a solution to 2x + 5 = 15? Yes or No<br> How do you know?
dybincka [34]

Answer:

Step-by-step explanation:

8

5 0
3 years ago
Read 2 more answers
What is the lcd of: 8/9x 2/3x=1/9x 45?
spayn [35]
LCD would be 18

8/9 = 16/18
2/3 = 12/18
1/9 = 2/18
5 0
3 years ago
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