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faltersainse [42]
3 years ago
14

1131 divided by 29 \

Mathematics
2 answers:
Goshia [24]3 years ago
8 0
Answer:39

Hope it helps :)
Lady_Fox [76]3 years ago
8 0
It’s 39 i hope this helped you
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A manufacturing company with 450 employees begins a new product line and must increase their number of employees by 18%. How man
nika2105 [10]
The answer would <span>531. You would add 18% more employees to the company so the answer is 531. I really hope this helped you. Have a nice day!</span>
4 0
3 years ago
Find the volume of the cone
Anuta_ua [19.1K]

Volume= 37. 7

V=π r² h/3 = π · 22 · 9/3 ≈37.69911

I hope this helps!

8 0
2 years ago
Six yards of rope costs $5.50 while four yards costs $4.75
Amiraneli [1.4K]

The best option is the first one (Six yards of rope costs $5.50). It is the lowest unit cost.

<u>Step-by-step explanation:</u>

For the given question case, first we should compare the unit costs of the choices provided and evaluate the best option.

Choice 1:

Six yards of rope costs $ 5.50

            \frac{5.50 \text { dollar}}{6 \text { yard }}=0.9167\ dollar/yard

Choice 2:

Four yards costs $ 4.75

           \frac{4.75 \text { dollar}}{4 \text { yard }}=1.1875\ dollar/yard

Thus, the best choice is the first one. Because it is the lowest unit cost.

3 0
3 years ago
A manufacturer produces light bulbs that have a mean life of at least 500 hours when the production process is working properly.
denpristay [2]

Answer:

We conclude that the population mean light bulb life is at least 500 hours at the significance level of 0.01.

Step-by-step explanation:

We are given that a manufacturer produces light bulbs that have a mean life of at least 500 hours when the production process is working properly. The population standard deviation is 50 hours and the light bulb life is normally distributed.

You select a sample of 100 light bulbs and find mean bulb life is 490 hours.

Let \mu = <u><em>population mean light bulb life.</em></u>

So, Null Hypothesis, H_0 : \mu \geq 500 hours      {means that the population mean light bulb life is at least 500 hours}

Alternate Hypothesis, H_A : \mu < 500 hours     {means that the population mean light bulb life is below 500 hours}

The test statistics that would be used here <u>One-sample z test statistics</u> as we know about the population standard deviation;

                           T.S. =  \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \bar X = sample mean bulb life = 490 hours

           σ = population standard deviation = 50 hours

           n = sample of light bulbs = 100

So, <u><em>the test statistics</em></u>  =  \frac{490-500}{\frac{50}{\sqrt{100} } }

                                     =  -2

The value of z test statistics is -2.

<u>Now, at 0.01 significance level the z table gives critical value of -2.33 for left-tailed test.</u>

Since our test statistic is higher than the critical value of z as -2 > -2.33, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which <u>we fail to reject our null hypothesis.</u>

Therefore, we conclude that the population mean light bulb life is at least 500 hours.

7 0
3 years ago
You leave a 20% tip on your $70 dinner bill. How much was the tip
jonny [76]

\frac{20}{100}  \times70 =  \frac{1}{5}   \times 70 \\ = 14
hey hope this helps
5 0
2 years ago
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