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vovangra [49]
4 years ago
12

How do I solve question 13 and 14?

Mathematics
1 answer:
xxMikexx [17]4 years ago
6 0

Answer:

13. 13 or 17 (not sure about this, sorry)

14. 28

Step-by-step explanation:

13.

a_{n} = \{a_{0}, a_{1}, a_{2}, a_{3}, a_{4}, ... \} \\

if counting the sequence from a_{0} then a_{4} is 17, but if

a_{n} = \{a_{1}, a_{2}, a_{3}, a_{4}, a_{5}, ... \} \\

counting from a_{1}, then a_{4} is 13.

14.

a_{10} = 1 + 3(10 - 1) = 1 + 3*9 = 28

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Answer: she rented the bike for 5 hours

Step-by-step explanation:

51 - 16 = 35

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What is the solution to 4n-6=10n?
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3 years ago
There are 364 students who are enrolled in an introductory biology course. If there are five boys to every eight girls, how many
Butoxors [25]

Answer:

The number of boys in the course will be = 140

Step-by-step explanation:

Given:

Total number of students enrolled in an introductory biology course = 364

There are 5 boys to every 8 girls in the course.

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Solution:

Since, there are 5 boys to every 8 girls in the course.

So, ratio of boys to girls enrolled in the course = 5 : 8

Let the number of boys in the course be = 5x

Then number of girls in the course will be =  8x

Total number of students would be given as:

⇒ <em>Number of boys + Number of girls</em>

⇒ 5x+8x

⇒ 13x

Total number of students given = 364.

Thus, we have:

13x=364

solving for x

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\frac{13x}{13}=\frac{364}{13}

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4 years ago
a caterer received an order to prepare 120 servings of salad for a banquet. Each serving will weigh 4 ounces. so far the caterer
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Ignoring those who said they weren't sure, there were 297 men asked, and 183 said yes, they had driven a car when they probably
USPshnik [31]

Answer:

z=\frac{0.616-0.5}{\sqrt{\frac{0.5(1-0.5)}{297}}}=3.998  

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Step-by-step explanation:

Information given  

n=297 represent the random sample of male taken

X=183 represent the  men who said yes, they had driven a car when they probably had too much alcohol

\hat p=\frac{183}{297}=0.616 estimated proportion of men who said yes, they had driven a car when they probably had too much alcohol

p_o=0.5 is the value that we want to test

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Hypothesis to test

We need to conduct a hypothesis in order to test the claim that the majority of men in the population (that is, more than half) would say that they had driven a car when they probably had too much alcohol, and the system of hypothesis are:  

Null hypothesis:p\leq 0.5  

Alternative hypothesis:p > 0.5  

The statistic is given by:

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

After replace we got:

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

z=\frac{0.616-0.5}{\sqrt{\frac{0.5(1-0.5)}{297}}}=3.998  

Decision

We have a right tailed test so then the p value would be:  

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With the most common significance levels used \alpha= 0.1, 0.05, 0.01 we see that the p value is lower than the significance level so then we have enough evidence to reject the null hypothesis and we can say that the true proportion is significantly higher than 0.5

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