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Novosadov [1.4K]
3 years ago
10

1) A group of 35 people are going to run a

Mathematics
1 answer:
Lemur [1.5K]3 years ago
4 0

Theres nothing we can do to hhelp u bruh

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mr. stoto drives 3 miles each way to and from his office. If he does this 5 days each week for 10 weeks, how many total miles wi
iren2701 [21]

its most likely 150 because 3 times 5 then 15 times 10 if thts wrong sorry

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What is 23x2+9-4??????
spayn [35]

51 is your answer

Hope that helps :)

5 0
3 years ago
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An assembly plant orders a large shipment of electronic circuits each month. The supplier claims that the population proportion
lara [203]

Answer:

p_v =P(z>2.652)=0.0040  

So the p value obtained was a very low value and using the significance level assumed for example \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of defectives is significantly higher than 0.04.  

Step-by-step explanation:

1) Data given and notation  

n=300 represent the random sample taken

X=21 represent the number of defectives (value assumed)

\hat p=\frac{21}{300}=0.07 estimated proportion of defectives

p_o=0.04 is the value that we want to test

\alpha represent the significance level

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the proportion of defectives it's higher than 0.04.:  

Null hypothesis:p\leq 0.04  

Alternative hypothesis:p > 0.04  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

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

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

3) Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.07 -0.04}{\sqrt{\frac{0.04(1-0.04)}{300}}}=2.652  

4) Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The next step would be calculate the p value for this test.  

Since is a right tailed test the p value would be:  

p_v =P(z>2.652)=0.0040  

So the p value obtained was a very low value and using the significance level assumed for example \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of defectives is significantly higher than 0.04.  

8 0
3 years ago
18 over 8 in simplest form
Pepsi [2]
Simplest Form: 9/4

Decimal Form: 2.25

Mixed Number Form: 2 1/4

Hope this helps! :)




8 0
4 years ago
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What is the amplitude, period, and phase shift of f(x)=-4 sin (2x+3.14)-5
finlep [7]
Remember this: for a trig function of <span>y = A sin(Bx + C) + D

</span><span><span>amplitude is A
</span><span>period is <span>2π/B
</span></span><span>phase shift is −C/B
</span><span>vertical shift is <span>D

So the amplitude is -4, the period is </span></span></span>π and the phase shift is -3.14/2 = 1.57.
8 0
3 years ago
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