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romanna [79]
3 years ago
9

Please help I'll give you brainliest and a lot of points

Mathematics
1 answer:
liraira [26]3 years ago
6 0

Answer:

about 50

Step-by-step explanation:

they a move up 5 minutes eace half mile

dont come at me if it is wrong :)

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Thirty-six construction workers are assigned to a job site. Yesterday, 29 of them showed up. About what percent stayed home.
Paladinen [302]

TOTAL WORKERS : 36

PRESENT WORKERS:29

% OF WORKERS AT HOMW : 36-29/36*100

= 7/36*100 = 19.4%

<h2>Approx : 19%</h2>
5 0
2 years ago
4/7 × 28 simplified
crimeas [40]
The answer would be 16
3 0
3 years ago
Here is a list of numbers:<br> 14, 4, 4, 16, 14, 3, 13 ,11 ,1 ,8<br> State the median.
Helga [31]

Answer:

the Median is 9.5

8 0
3 years ago
According to a study done by the Gallup organization, the proportion of Americans who are satisfied with the way things are goin
UkoKoshka [18]

Answer:

21.77% probability that the proportion who are satisfied with the way that things are going in their life exceeds 0.85

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.

For proportions p in a sample of size n, we have that \mu = p, \sigma = \sqrt{\frac{p(1 - p)}{n}}

In this problem:

\mu = 0.82, \sigma = \sqrt{\frac{0.82*0.18}{100}} = 0.0394

In a sample of 100 Americans, what is the probability that the proportion who are satisfied with the way that things are going in their life exceeds 0.85

This is 1 subtracted by the pvalue of Z when X = 0.85. So

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

Z = \frac{0.85 - 0.82}{0.0384}

Z = 0.78

Z = 0.78 has a pvalue of 0.7823

1 - 0.7823 = 0.2177

21.77% probability that the proportion who are satisfied with the way that things are going in their life exceeds 0.85

5 0
3 years ago
a piece of paper is 0.0075 in thick how many sheets of paper will be in a stack that is 2.25 inches high
boyakko [2]

Answer:

300

Step-by-step explanation:

That would be 2.25 / 0.0075

= 300

5 0
3 years ago
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