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krek1111 [17]
3 years ago
7

5. Cameron Benson is a dental assistant. He earns $17.25 per hour and time and a half for

Mathematics
2 answers:
Virty [35]3 years ago
6 0

Answer:

$1,086.75

Step-by-step explanation:

you take the money per hour then multiply it by the hours worked.

MissTica3 years ago
6 0
I believe the answer is 1285.24

You have to remember that there is overtime which is anything over 40 hours

So 63 (hours worked) - 40 hours = 23 hours worked overtime

17.25 (hourly wage) x 1.5 = 25.88 (hourly rate for overtime)

17.25 x 40 = 690
25.88 x 23 = 595.24

690 (regular hourly wage) + 595.24 (overtime) = 1285.24

Hope this helps :)

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one recent morning the temperature rose 8 degrees Fahrenheit between sunrise and 10:00 AM. If the temperature at 10:00 AM was 55
nika2105 [10]

Answer:47

Step-by-step explanation:55-8

8 0
3 years ago
suppose the population of a certain city has been doubling every 30 years and the population was 48,000 in 1900. what will the p
Brilliant_brown [7]

Answer:

768000

Step-by-step explanation:

From 1900 to 2020 = 120 means that it doubles 4 times ( once every 30 years)

=> 48000 * 2 ^ 4 = 768000

3 0
2 years ago
An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 100100 engin
Margaret [11]

Answer:

Null hypothesis:\mu \geq 7.3    

Alternative hypothesis:\mu < 7.3    

z=\frac{7.2-7.3}{\frac{0.81}{\sqrt{100}}}=-1.235    

p_v =P(z    

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so then we can conclude that the mean pressure for the automobile engines is not significantly less than 7.3 at 1% of significance.  

Step-by-step explanation:

1) Data given and notation    

\bar X=7.2 represent the sample mean    

\sigma=0.81 represent the population standard deviation    

n=100 sample size    

\mu_o =7.3 represent the value that we want to test    

\alpha=0.01 represent the significance level for the hypothesis test.    

z would represent the statistic (variable of interest)    

p_v represent the p value for the test (variable of interest)    

2) State the null and alternative hypotheses.    

We need to conduct a hypothesis in order to check if the mean pressure is lower than the specificated value 7.3, the system of hypothesis are :    

Null hypothesis:\mu \geq 7.3    

Alternative hypothesis:\mu < 7.3    

Since we know the population deviation, is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:    

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}} (1)    

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".    

3) Calculate the statistic    

We can replace in formula (1) the info given like this:    

z=\frac{7.2-7.3}{\frac{0.81}{\sqrt{100}}}=-1.235    

4) P-value    

Since is a one-side lower test the p value would given by:    

p_v =P(z    

5) Conclusion    

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so we can conclude that the mean pressure for the automobile engines is not significantly less than 7.3 at 1% of significance.  

7 0
3 years ago
Given these angles: m∠3 = 82°, m∠4 = 98°.
RSB [31]
These angles are supplementary.
Complementary angles add up to 90 degrees. Supplementary angles add up to 180 degrees. 82 degrees + 98 degrees = 180 degrees.
8 0
3 years ago
Solve for x. round to the nearest tenth.
iVinArrow [24]
The length of x is 33.85 when rounded to the hundredth place. 

You can start solving this by using the tangent function. 

Tan(Angle) = opposite/adjacent

Since the angle is 28 and the opposite side is 18, we can set adjacent as x and solve. 

Tan(28) = 18/x ---> Cross multiply
xTan(28) = 18 ---> Divide by Tan(28)
x = 18/Tan(28)

Which equals roughly 33.85
8 0
3 years ago
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