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Nikitich [7]
2 years ago
11

#82 will give brainliest to best answer!​

Mathematics
2 answers:
Fofino [41]2 years ago
7 0

Answer:

\frac{6}{k-6}

Step-by-step explanation:

First, we can factor all of the following equations to turn that weird, huge looking thing into \frac{(k+6)(k-6)}{(k-6)(k-10)} ÷ \frac{(k-6)^2}{k(k-6)} × \frac{6(k-10)}{k(k + 6)}. We know that division is simply multiplication by the reciprocal, so that whole equation will turn into \frac{(k+6)(k-6)}{(k-6)(k-10)} × \frac{k(k-6)}{(k-6)^2} × \frac{6(k-10)}{k(k+6)}. Now we can cancel out some values if they are both in the numerator and denominator, which will turn that still huge looking thing into \frac{6}{k-6} which is our final answer, as it cannot be simplified further.

Hope this helped! :)

kirill [66]2 years ago
3 0
(K^2-36/k^2-16k+60)/(k^2-12k+36/k^2-6k)*(6k-60/k^2+6k)

=[(k^2-6^2)/(k-6)(k-10)]*[k(k-6)/(k-6)^2][6(k-10)/k(k+6)

=(k^2-6^2)(k/(k-6)^2)(6/k (k-6)
=6(k^2-6^2)/(k-6)^2(k+6)
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Crystal earns $4.00 per hour mowing lawns. how much does crystal earn if she works 2 hours and 30 minutes?
zlopas [31]
10 dollars i got this by finding 4 times 2 is 8 and half of 4 is 2 so it is exactly 10 dollars
7 0
3 years ago
A group spends $277.50 to rent a total of 15 tubes. How many of each type of tube does the group rent?
tensa zangetsu [6.8K]

The amount spent on each tube is $18.5

The total amount spent to rent 15 tubes by the group is $277.50.

Since they did not specify in the question the types of tubes they rented, we cannot determine each types of tubes that the group rented but we can determine the amount spent on each tube provided that they are all the same types.

∴

if 15 tubes = $277.50

1 tube = $x

By cross multiplying:

\mathbf {\$(x) = \dfrac{ \$277.50 \times 1 \ tube }{15 \ tube}}

\mathbf {(x) = \$18.5}

Therefore, we can conclude that the amount spent on each tube is $18.5

Learn more about arithmetic operations here:

brainly.com/question/15385899?referrer=searchResults

4 0
3 years ago
The prime factorization of 236
mafiozo [28]

Answer:

The prime factors are: 2 x 2 x 59

or Written in exponential form: 2^2 x 59^1

Step-by-step explanation:

236 ÷ 2 = 118 - No remainder! 2 is one of the factors

118 ÷ 2 = 59 - No remainder! 2 is one of the factors

59 ÷ 59 = 1 - No remainder! 59 is one of the factors

together we have the factors 2 x 2 x 59 = 236

3 0
3 years ago
Read 2 more answers
Use this information to answer the questions. University personnel are concerned about the sleeping habits of students and the n
Oksanka [162]

Answer:

z=\frac{0.554 -0.5}{\sqrt{\frac{0.5(1-0.5)}{377}}}=2.097  

p_v =P(Z>2.097)=0.018  

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  students reported experiencing excessive daytime sleepiness (EDS) is significantly higher than 0.5 or the half.

Step-by-step explanation:

1) Data given and notation

n=377 represent the random sample taken

X=209 represent the students reported experiencing excessive daytime sleepiness (EDS)

\hat p=\frac{209}{377}=0.554 estimated proportion of students reported experiencing excessive daytime sleepiness (EDS)

p_o=0.5 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 the true proportion is higher than 0.5:  

Null hypothesis:p\leq 0.5  

Alternative hypothesis:p > 0.5  

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{0.554 -0.5}{\sqrt{\frac{0.5(1-0.5)}{377}}}=2.097  

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 right tailed test the p value would be:  

p_v =P(Z>2.097)=0.018  

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  students reported experiencing excessive daytime sleepiness (EDS) is significantly higher than 0.5 or the half.

6 0
3 years ago
35-4-2-13<br> O C5 (<br> 42) 13<br> o<br> D(<br> 64) -2-13
Radda [10]
Hmmm it’s D I think?
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2 years ago
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