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Dmitry_Shevchenko [17]
3 years ago
10

The pants cost $45.Gina had a coupon for 15% off. How much money did she save

Mathematics
1 answer:
puteri [66]3 years ago
7 0
6.75 dollars
Step by step
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-20 - 4y when y = -3 need help asap
andreev551 [17]
Since y=-3 you need to set up the equation
-20-(-3)
And all you have to do is simplify
So your answer will be
-17

Hope this helped :)
Have a great day
8 0
3 years ago
Value expression of 3^5 / 3^3
suter [353]

Answer:

9

Step-by-step explanation:

3^5 = 243

3^3 = 27

243 / 27 = 9

Hope this helps :)

3 0
3 years ago
Suppose the x-axis of a density graph represents someone's height in inches. If the area under the density curve from 60 inches
masha68 [24]

OPTION A 75% is the correct answer

6 0
3 years ago
Which expression below is equivalent to:
AlexFokin [52]
C. combine like terms 7 + 3 -1 9b then 11-4
5 0
3 years ago
Consider a drug testing company that provides a test for marijuana usage. Among 310 tested​ subjects, results from 28 subjects w
Naily [24]

Answer:

z=\frac{0.0903 -0.1}{\sqrt{\frac{0.1(1-0.1)}{310}}}=-0.569  

The p value for this case can be calculated with this probability:

p_v =P(z  

Since the p value is higher than significance level we don't have enough evidence to conclude that the true proportion is significantly less than 0.1

Step-by-step explanation:

Information given

n=310 represent th sample selected

X=28 represent the subjects wrong

\hat p=\frac{28}{310}=0.0903 estimated proportion of subjects wrong

p_o=0.1 is the value to verify

\alpha=0.05 represent the significance level

t would represent the statistic

p_v represent the p value

System of hypothesis

We want to test the claim that less than 10 percent of the test results are wrong ,and the hypothesis are:  

Null hypothesis:p\geq 0.1  

Alternative hypothesis:p < 0.1  

The statistic is given by:

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

Replacing the info we got:

z=\frac{0.0903 -0.1}{\sqrt{\frac{0.1(1-0.1)}{310}}}=-0.569  

The p value for this case can be calculated with this probability:

p_v =P(z  

Since the p value is higher than significance level we don't have enough evidence to conclude that the true proportion is significantly less than 0.1

5 0
3 years ago
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