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adoni [48]
3 years ago
12

there are 10 students in a social studies class. three students will be selected to present their term projects today. in how ma

ny different orders can three students be selected? OPTIONS : 120,720,60,1440
Mathematics
2 answers:
pogonyaev3 years ago
6 0
The answer is equivalent to 10*9*8 as their is one less student to go after each presentation.
720 ways.
Lena [83]3 years ago
5 0
<h2>Answer:</h2>

The number of ways this can be done is:

                         720

<h2>Step-by-step explanation:</h2>

Total number of students are: 10

Now out of these 10 students we are asked to select 3 students.

We know that when we have to choose r items and also the order matters out of a total of 10 items the number of ways of doing so is calculated by the method of per as:

n_C_r=\dfrac{n!}{(n-r)!}

Here we have:

n=10 and r=3

Hence, the number of ways of doing so is calculated as:

{10}_C_3=\dfrac{10!}{(10-3)!}\\\\\\{10}_C_3=\dfrac{10!}{7!}\\\\\\{10}_C_3=\dfrac{10\times 9\times 8\times 7!}{7!}\\\\\\{10}_C_3=10\times 9\times 8\\\\{10}_C_3=720

          Hence, the answer is:

                720

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Answer:

z=\frac{0.694 -0.75}{\sqrt{\frac{0.75(1-0.75)}{180}}}=-1.735  

p_v =P(z  

If we compare the p value obtained and the significance level given \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 americans between 17 to 24 that not qualify for the military is significantly less than 0.75 or 75% .  

Step-by-step explanation:

1) Data given and notation  

n=180 represent the random sample taken  

X=125 represent the number of americans between 17 to 24 that not qualify for the military

\hat p=\frac{125}{180}=0.694 estimated proportion of americans between 17 to 24 that not qualify for the military

p_o=0.75 is the value that we want to test  

\alpha=0.05 represent the significance level  

Confidence=95% or 0.95  

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 less than 75% of Americans between the ages of 17 to 24 do not qualify for the military :  

Null hypothesis: p\geq 0.75  

Alternative hypothesis:p < 0.75  

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{0.694 -0.75}{\sqrt{\frac{0.75(1-0.75)}{180}}}=-1.735  

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 significance level provided \alpha=0.05. The next step would be calculate the p value for this test.  

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

p_v =P(z  

If we compare the p value obtained and the significance level given \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 americans between 17 to 24 that not qualify for the military is significantly less than 0.75 or 75% .  

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Step-by-step explanation:

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