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3 years ago

BRAINLIEST!!!

2 answers:

5 0

5 cats 1 bag of food so twenty cats would be 4 bags of food per month
5c = 1b 5 x 4 = 20 20c = 4b
c = cats
b = bags of food

kifflom [539]3 years ago

4 0

20 cats * ( 1 bag of food / 5 cats per month ) = 4 bags of food per month to feed all 20 cats

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Alisiya [41]

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3 0

2 years ago

What is the ratio for 8 and 12

Vitek1552 [10]

It can be 8:12 or as a fraction it’s 8/12

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3 years ago

The Software Company earned 2,247,852,199 dollars last year. This year they earned 3,000,962,245 dollars. Which is the best esti

RSB [31]

You know the following information:

1. The amount of money (in dollars) earned last year was:

$2,247,852,199$

2. The amount of money (in dollars) earned this year, is:

$3,000,962,245$

Then, to estimate the sum (the total amount of money the Software Company earned in those two years, you can round the numbers to the nearest billion.

Having:

$2,247,852,199$

You need to look at the digit located in the Hundred millions place. Notice that this is:

$2$

Then, since:

$2$

You need can't round up. Then:

$2,247,852,199\approx2,000,000,000$

Now, having:

$3,000,962,245$

You can identify that the digit in the Hundred millions place is

$0$

Therefore:

$3,000,962,245\approx3,000,000,000$

Now you can add the numbers rounded:

$2,000,000,000+3,000,000,000=5,000,000,000$

Hence, the answer is: Option B.

5 0

1 year ago

2. When a large truckload of mangoes arrives at a packing plant, a random sample of 150 is selected and examined for

kirza4 [7]

a) The 90% confidence interval of the percentage of all mangoes on the truck that fail to meet the standards is: (7.55%, 12.45%).

b) The margin of error is: 2.45%.

c) The 90% confidence is the level of confidence that the true population percentage is in the interval.

d) The needed sample size is: 271.

<h3>What is a confidence interval of proportions?</h3>

A confidence interval of proportions has the bounds given by the rule presented as follows:

$\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}$

The margin of error is given by:

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

The variables are listed as follows:

$\pi$ is the sample proportion, which is also the estimate of the parameter.

z is the critical value.

n is the sample size.

The confidence level is of 90%, hence the critical value z is the value of Z that has a p-value of $\frac{1+0.90}{2} = 0.95$ , so the critical value is z = 1.645.