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ElenaW [278]
3 years ago
6

A hot dog stand at the fair sells hot dogs for $2 and drinks for $1. If the number of hot dogs you bought is 8 less than four ti

mes the number of drinks you bought, and you spent $20, how many hot dogs did you buy?
Mathematics
1 answer:
Kryger [21]3 years ago
5 0
$2 + $1 = $3

8 x 4 = 32

32 - $20 = $12


You will have $12 dollars to buy the hot dogs.

I hope I helped you! :D
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Alecia walked 3/10 of a mile from school,stopped at the grocery store on the way, then walked another 4/10 of a mile home.Georgi
Nutka1998 [239]

Answer:

Alecia lives farther from school

Step-by-step explanation:

<em>Georgia</em>

we know that

The distance from the school to her home is 67/100 of a mile

\frac{67}{100}=0.67\ miles

<em>Alecia</em>

we know that

The distance from the school to her home is

3/10 of a mile plus 4/10 of a mile

so

\frac{3}{10}+\frac{4}{10}=\frac{7}{10}=0.7\ miles

Compare the distances

0.7\ miles>0.67\ miles

therefore

Alecia lives farther from school

3 0
4 years ago
A university hired you as a lab assistant after you graduated. Your starting salary is $41,500 and your salary will increase by
VladimirAG [237]

Answer:

$67,000

Step-by-step explanation:

41,000*(1,700*15)=67,000

5 0
3 years ago
A manufacturer must test that his bolts are 4.00 cm long when they come off the assembly line. He must recalibrate his machines
storchak [24]

Answer:

The null hypothesis is H_o: \mu = 4.

The alternate hypothesis is H_a: \mu \neq 4

The pvalue of the test is 0.0182 < 0.05, which means that there is sufficient evidence to show that the manufacturer needs to recalibrate the machines.

Step-by-step explanation:

A manufacturer must test that his bolts are 4.00 cm long when they come off the assembly line.

This means that the null hypothesis is that they are 4.00 cm long, that is:

H_o: \mu = 4

At the alternate hypothesis we test if it is different. So

H_a: \mu \neq 4

The test statistic is:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

In which X is the sample mean, \mu is the value tested at the null hypothesis, \sigma is the standard deviation and n is the size of the sample.

4 is tested at the null hypothesis:

This means that \mu = 4

After sampling 196 randomly selected bolts off the assembly line, he calculates the sample mean to be 4.14 cm.

This means that n = 196, X = 4.14

He knows that the population standard deviation is 0.83 cm.

This means that \sigma = 0.83

Value of the test statistic:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

z = \frac{4.14 - 4}{\frac{0.83}{\sqrt{196}}}

z = 2.36

Pvalue of the test and decision:

The pvalue of the test is the probability that the sample mean is different by at least 4.14 - 4 = 0.14 from the target value, which is P(|z| > 2.36), which is 2 multiplied by the pvalue of z = -2.36.

Looking at the z-table, z = -2.36 has a pvalue of 0.0091

2*0.0091 = 0.0182

The pvalue of the test is 0.0182 < 0.05, which means that there is sufficient evidence to show that the manufacturer needs to recalibrate the machines.

5 0
3 years ago
I need this working of this question
CaHeK987 [17]

Answer:

22

Step-by-step explanation:

15+7=22

5 0
3 years ago
A bicycle company makes 3 different bicycle styles. Each style comes in 4 colors. Each style is made in 6 frame sizes with a cho
horsena [70]
3*4*6*2 = 144

I guess that is the answer.

Hope this helps !

Photon
5 0
3 years ago
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