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cluponka [151]
3 years ago
15

Bárbara come la tercera parte de una caja de bombones. Su papá luego compra 7 bombones más y los pone en la caja. ¿Cómo se repre

senta la cantidad de bombones que hay ahora en la caja?
Mathematics
1 answer:
Maksim231197 [3]3 years ago
3 0

Answer:

Bárbara come la tercera parte de una caja de bombones. Su papá luego compra 7 bombones más y los pone en la caja. ¿Cómo se representa la cantidad de bombones que hay ahora en la caja?

Step-by-step explanation:

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A city police force is made up of 24% females. If there are 72 females on the force, how many males are on the force?
erastovalidia [21]

Answer:

228 males

Step-by-step explanation:

Let x be the number of males.

This means x + 72 is the total number of people.

So \frac{72}{x+72} is the fraction of females in the force.

Thus, we can form the equation:

\frac{72}{x+72} = 0.24

x+72 = \frac{72}{0.24}

x = \frac{72}{0.24} -72

x = 228

Thus, the answer is 228 males.

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3 years ago
What is the solution to the equation 6t=144
Grace [21]
Isolate the variable by dividing both sides by 6:
t=144/6=24


The solution is t=24

Good luck!
8 0
3 years ago
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Follow the steps to find the value of x 1/5(x)5/1=6/3(5/1)
german

Answer: x=10

This is the answer I got.

6 0
3 years ago
A new health drink has 110% of the recommended daily allowance (RDA) for a certain vitamin. The RDA for this vitamin is 30 mg. H
ICE Princess25 [194]
110% of 30 is 30*(110/100)=30*1.1=33 mg
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3 years ago
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A sports news station wanted to know whether people who live in the North or the South are bigger sports fans. For its study, 17
Free_Kalibri [48]

Using the z-distribution, it is found that the 95% confidence interval for the difference is (-1.3, -0.7).

<h3>What are the mean and the standard error for each sample?</h3>

Considering the data given:

\mu_S = 3.8, n = 175, s_S = \frac{1.7}{\sqrt{175}} = 0.1285

\mu_N = 4.8, n = 152, s_N = \frac{1.2}{\sqrt{152}} = 0.0973

<h3>What is the mean and the standard error for the distribution of differences?</h3>

The mean is the subtraction of the means, hence:

\overline{x} = \mu_S - \mu_N = 3.8 - 4.8 = -1

The standard error is the square root of the sum of the variances of each sample, hence:

s = \sqrt{s_S^2 + s_N^2} = \sqrt{0.1285^2 + 0.0973^2} = 0.1612

<h3>What is the confidence interval?</h3>

It is given by:

\overline{x} \pm zs

We have a 95% confidence interval, hence the critical value is of z = 1.96.

Then, the bounds of the interval are given as follows:

  • \overline{x} - zs = -1 - 1.96(0.1612) = -1.3
  • \overline{x} + zs = -1 + 1.96(0.1612) = -0.7

More can be learned about the z-distribution at brainly.com/question/25890103

#SPJ1

4 0
2 years ago
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