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QveST [7]
3 years ago
5

Maryanne is making a bracelet at camp using

Mathematics
1 answer:
ad-work [718]3 years ago
8 0

Answer:

31.16 cm

Step-by-step explanation:

19 x 1.64 = 31.16 cm

Just multiply, since they have u the length of one bead, you will be able to find the length of the entire bracelet

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Add 0.269 + 44.9 = <br><br> plz plz plz help
Pani-rosa [81]

Answer:

The answer is...

Step-by-step explanation:

45.169

3 0
4 years ago
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I don’t understand? How do you do numbers 3 and 4?
leonid [27]
On 3 you subract 36-3 on 4 make the fraction a decimal by dividing the numerator by the denominator and then subtract 12 by the decimal you get and I'm pretty sure you should get both your answers.
7 0
3 years ago
Read 2 more answers
(08.05, 08.06 MC)
babunello [35]

A=16x²-8x+1

16x²-8x+1=l²

(16x²-4x)-(4x+1)=l²

4x(4x-1)-1(4x-1)=l²

x=1/4 or 1

Therefore

since x=1/4

l²=1/4=>l=>√(1/4)

l=1/2

since x=1

l²=1=>l=>√1

l=1

Therefore the length of each sides

1 or 1/2

6 0
3 years ago
1/5 x 3/4 in simplest form
Lady bird [3.3K]

we need to multiply : 1/5*3/4 multiply 1 by 3 on the tops so we have 3/5*4 5*4=3/20

8 0
3 years ago
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Nationwide, the average waiting time until a electric utility customer service representative answers a call is 200 seconds per
Pavel [41]

Answer:

z=\frac{120-200}{\frac{25}{\sqrt{30}}}=-17.527  

p_v =P(Z  

If we compare the p value and the significance level given \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis.  

We can say that at 5% of significance the mean average waiting time is significantly less than 200 seconds per call.

Step-by-step explanation:

Data given and notation  

\bar X=120 represent the sample mean  

\sigma=25 represent the population standard deviation  

n=30 sample size  

\mu_o =200 represent the value that we want to test  

\alpha=0.05 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)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the population mean is less than 200, the system of hypothesis are :  

Null hypothesis:\mu \geq 200  

Alternative hypothesis:\mu < 200  

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".  

Calculate the statistic  

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

z=\frac{120-200}{\frac{25}{\sqrt{30}}}=-17.527  

P-value  

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

p_v =P(Z  

Conclusion  

If we compare the p value and the significance level given \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis.  

We can say that at 5% of significance the mean average waiting time is significantly less than 200 seconds per call.

3 0
3 years ago
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