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Nadusha1986 [10]
3 years ago
13

What does VII-IX mean?

Mathematics
1 answer:
Anestetic [448]3 years ago
3 0
VII means 7. VIII means 8. IX means 9. Each are a number from the Roman Numerals.
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When you calculate the sample size for a proportion, you use an estimate for the population proportion; namely . A conservative
LuckyWell [14K]

Answer: A. 0.50

Step-by-step explanation:

The formula to find the sample size : n=p(1-p)(\dfrac{ z^*}{E})

, where p= Prior estimate of population proportion.

E= Margin of error

z* =Critical z-value.

When , we do not have prior estimate of population proportion , we use p= 0.5 because at p=0.5 it gives the maximum same sample size for the corresponding confidence interval and margin of error.

Therefore , the conservative value for n can be obtained by using p=0.50.

Therefore , the correct answer is A.0.50 .

5 0
3 years ago
Theodore and Sarah have a small business selling custom-made T-shirts. They currently sell 205 shirts per month and charge $15 p
solong [7]

Answer:

(205-9x) times15

Step-by-step explanation:

7 0
3 years ago
- If you divide a number by four and then add six, you<br> get eighteen. What is the number?
stiks02 [169]

Answer:

48

Step-by-step explanation:

Create an equation to represent this, where x is the unknown number.

\frac{x}{4} + 6 = 18

Solve for x, by first subtracting 6 from both sides:

\frac{x}{4} = 12

Multiply each side by 4:

x = 48

So, the number is 48

8 0
3 years ago
Read 2 more answers
Scientists collect data on the blood cholesterol levels (milligrams per deciliter of blood) of a random sample of 24 laboratory
Ludmilka [50]

Answer: (a) There is a clear outlier in the data.

Step-by-step explanation:

The statement relates that sample= 24

Confidence interval= 80.2 to 89.8.

Now the data does not mention anywhere the standard deviation which is an important parameter in using the t-procedure rather we assume that standard deviation is not known. So, the most worrying part is the skewness and the presence of strong outliers in the t-procedure.

So, the option a) is correct meaning a clear outlier in the data.

6 0
3 years ago
8)
mixer [17]
Did you already find the answer?
6 0
2 years ago
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