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grin007 [14]
3 years ago
6

Tick the correct answer Please answer Fast.......​

Mathematics
1 answer:
Lilit [14]3 years ago
7 0

Answer:

c

Step-by-step explanation:

2^1\6

4√(3√2^2)= 2^1\6

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Simplify this expression
aliya0001 [1]

Answer:

The answer will be 10

Step-by-step explanation:

15/3*4/2

5*2

=10

6 0
2 years ago
Find the value of x.
marusya05 [52]

The two angles are vertically opposite when their vertexs share a common point on a set of two lines that cross.

2x + 8 = 70              Subtract 8 from both sides

2x + 8 - 8 = 70 - 8   Combine

2x = 62                    Divide by 2

2x/2 = 62/2

x = 31   <<<<< Answer  


3 0
3 years ago
A homogeneous 1300 kg bar AB is supported at either end by a cable. calculate the stress acting in bronze bar in N/mm² if stress
tino4ka555 [31]

Answer:

4553332 is the answer

Step-by-step explanation:

5 0
3 years ago
How Much Money Did Luna Have Saved Before She Started Doing Chores?
zepelin [54]
I believe the answer would be $70 .

for each chore she earned $4 .. for doing one chore she then had $74 .. therefore before doing chores she had $70 .

hope this helps !
6 0
3 years ago
Read 2 more answers
To plan the budget for next year a college must update its estimate of the proportion of next year's freshmen class that will ne
Naily [24]

Answer:

Null hypothesis:p\leq 0.35  

Alternative hypothesis:p > 0.35  

z=\frac{0.447 -0.35}{\sqrt{\frac{0.35(1-0.35)}{150}}}=2.491  

p_v =P(z>2.491)=0.0064  

So the p value obtained was a very low value and using the significance level assumed \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 applicants who request financial aid is significantly higher than 0.35

Step-by-step explanation:

Data given and notation

n=150 represent the random sample taken

X=67 represent the applicants who request financial aid

\hat p=\frac{67}{150}=0.447 estimated proportion of applicants who request financial aid

p_o=0.35 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)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion of applicants who request financial aid is higher than 0.35.:  

Null hypothesis:p\leq 0.35  

Alternative hypothesis:p > 0.35  

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.

Calculate the statistic  

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

z=\frac{0.447 -0.35}{\sqrt{\frac{0.35(1-0.35)}{150}}}=2.491  

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>2.491)=0.0064  

So the p value obtained was a very low value and using the significance level assumed \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 applicants who request financial aid is significantly higher than 0.35

5 0
3 years ago
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