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aliya0001 [1]
3 years ago
6

On eight book shelves there are 44 books per shelf. How many books are there altogether? If 1/4 of these books are novels, how m

any novels would there be?
Mathematics
1 answer:
solmaris [256]3 years ago
6 0
<span>281.6.................................if my calculations are right wich the are. all the time</span>
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Alex and Charlene are playing a card game, where each card has a value, he has a total of -16.5 points . What was his cards valu
borishaifa [10]
-8.25 i know this because i divided it by two
8 0
3 years ago
What is 300% of 90? Show your work
BARSIC [14]

Answer:

270

Step-by-step explanation:

becasue 100 percent of 90 would be 90

100*3=300

so multiply

90*3=270

5 0
3 years ago
WILL MARK BRAINLIEST ONLY HAVE 10 MINUTES
Lubov Fominskaja [6]

Answer:

A

Step-by-step explanation:

6 0
2 years ago
A CBS News/New York Times opinion poll asked 1,190 adults whether they would prefer balancing the federal budget over cutting ta
nikklg [1K]

Using the <u>normal distribution and the central limit theorem</u>, it is found that there is a 0.0166 = 1.66% probability of a sample proportion of 0.59 or less.

In a normal distribution with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

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

  • It 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, which is the percentile of X.
  • By the Central Limit Theorem, the sampling distribution of sampling proportions of a proportion p in a sample of size n has mean \mu = p and standard error s = \sqrt{\frac{p(1 - p)}{n}}

In this problem:

  • 1,190 adults were asked, hence n = 1190
  • In fact 62% of all adults favor balancing the budget over cutting taxes, hence p = 0.62.

The mean and the standard error are given by:

\mu = p = 0.62

s = \sqrt{\frac{p(1 - p)}{n}} = \sqrt{\frac{0.62(0.38)}{1190}} = 0.0141

The probability of a sample proportion of 0.59 or less is the <u>p-value of Z when X = 0.59</u>, hence:

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

By the Central Limit Theorem

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

Z = \frac{0.59 - 0.62}{0.0141}

Z = -2.13

Z = -2.13 has a p-value of 0.0166.

0.0166 = 1.66% probability of a sample proportion of 0.59 or less.

You can learn more about the <u>normal distribution and the central limit theorem</u> at brainly.com/question/24663213

7 0
2 years ago
Three to the power of negative two
Yanka [14]

Answer:

1/9

Step-by-step explanation:

3^-2 = 1/3^2

1/3^2 = 1/9

4 0
3 years ago
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