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Alex
3 years ago
14

The football program has 14 footballs that weigh 2.57 pounds each. How much do the footballs weigh all together?

Mathematics
2 answers:
Darina [25.2K]3 years ago
6 0

Answer:

35.98 pounds

Step-by-step explanation:

bazaltina [42]3 years ago
5 0

Answer:

35.98 pounds  :)

Step-by-step explanation:

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Choose the correct expression that represents 9 x 354 using place value and expanded form. *
adelina 88 [10]

Answer:

18

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There's are 12 students working in the library.If 3/4 of them are girls, how many girls are working in the library ?
g100num [7]
Its 9 the answer shld be 9 because 9/12 equals 3/4 i think
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3 years ago
random question if where humans dose that mean were a creature to bugs so confuse someone help the will get brainlist
kondaur [170]
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6 0
3 years ago
1. Which measurement represents the height of the parallelogram? (1 point)<br> 6 m<br> 4.2 m<br> 3 m
Brut [27]

Answer:

is numper

Step-by-step explanation:

5 0
3 years ago
The US Census reported that it takes workers an average of 28 minutes to get home from work with standard deviation 5 minutes. A
xz_007 [3.2K]

Using the z-distribution, as we have the standard deviation for the population, to test the hypothesis, it is found that this is evidence that workers in the large city take longer than 28 minutes to get home from work.

<h3>What are the hypothesis tested?</h3>

At the null hypothesis, it is tested if the mean time is of 28 minutes, that is:

H_0: \mu = 28

At the alternative hypothesis, it is tested if the mean time is greater than 28 minutes, that is:

H_1: \mu > 28.

<h3>What is the test statistic?</h3>

The test statistic is given by:

z = \frac{\overline{x} - \mu}{\frac{\sigma}{\sqrt{n}}}

The parameters are:

  • \overline{x} is the sample mean.
  • \mu is the value tested at the null hypothesis.
  • \sigma is the standard deviation of the sample.
  • n is the sample size.

In this problem, the values of the parameters are given by:

\overline{x} = 32, \mu = 28, \sigma = 5, n = 10

Hence:

z = \frac{\overline{x} - \mu}{\frac{\sigma}{\sqrt{n}}}

z = \frac{32 - 28}{\frac{5}{\sqrt{10}}}

z = 2.53

<h3>What is the decision?</h3>

Considering that we have a <em>right-tailed test</em>, as we are testing if the mean is greater than a value, with a standard <em>significance level of 0.05</em>, the critical value is of z^\ast = 1.645.

Since the test statistic is greater than the critical value, it is found that this is evidence that workers in the large city take longer than 28 minutes to get home from work.

To learn more about the z-distribution, you can check brainly.com/question/26454209

4 0
2 years ago
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