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Olenka [21]
3 years ago
9

Use a direct proof to show that the product of two odd integers is odd.

Mathematics
1 answer:
yulyashka [42]3 years ago
6 0

Answer:

The proof itself

Step-by-step explanation:

We can define the set of all even numbers as

E = \{ a \in \mathbb{Z} \setminus a = 2.k , k\in \mathbb{N}\}

This is, we can define all even numbers as the set of all the multiples of 2

As for the odd numbers, we can always take every even number and sum one to each one. This is

O = \{ a\in \mathbb{Z} \setminus a=2.k+1,k\in\mathbb{N}_{0}\}

Note that k\in\mathbb{N}_{0}(the set of all natural numbers adding the zero) so that for k=0 then a=1

Now, given 2 odd numbers a and b we can write each one as follows:

a = 2k+1\\b = 2l+1\\k,l \in\mathbb{N}_{0}

And then if we multiply them with each other we obtain:

a.b = (2k+1).(2l+1)\\= 4kl+2k+2l+1\\= 2(2kl+k+l) + 1\\= 2k'+1 \\where\ k'=2kl+k+l

Then we have that a.b is also an odd number as we defined them.

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A listing posted by a restaurant chain gives, for each of the sandwiches it sells, the types of fillings for the sandwiches, num
sergij07 [2.7K]

Answer:

NB: There are two possible answer to this question, depending on the correctness of the question asked.

<em>In the case where the question 'who was measured ?' is the correct question</em>, then the the <em>correct answer will be D</em>, since <em>the word 'who' is an interrogative pronoun and a relative pronoun, used chiefly to refer to </em><u><em>humans</em></u><em>. </em>In that case, no one was actually measure or <em>we simply state that the 'information is not given'.</em>

<em>But if assume that the question to the answer is 'what was measured ?' and not 'who was measured ?',</em> In this case, <em>only the data gotten from the measurement of properties of the fillings in the sandwiches served by the restaurant chain was given</em>, and option B is the correct answer.

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3 0
3 years ago
Erythromycin is a drug that has been proposed to possibly lower the risk of premature delivery. A related area of interest is it
katrin2010 [14]

Answer:

z=\frac{0.333 -0.3}{\sqrt{\frac{0.3(1-0.3)}{195}}}=1.01  

p_v =P(z>1.01)=0.156  

So the p value obtained was a very low value and using the significance level asumed \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIl to reject the null hypothesis, and we can said that at 5% of significance the proportion of women who complain of nausea between the 24th and 28th week of pregnancy is not significantly higher than 0.3 or 30%

Step-by-step explanation:

Data given and notation

n=195 represent the random sample taken

X=65 represent the women who complain of nausea between the 24th and 28th week of pregnancy

\hat p=\frac{65}{195}=0.333 estimated proportion of women who complain of nausea between the 24th and 28th week of pregnancy

p_o=0.3 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 true proportion is higher than 0.3.:  

Null hypothesis:p\leq 0.3  

Alternative hypothesis:p > 0.3  

When we conduct a proportion test we need to use the z statisitc, 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{0.333 -0.3}{\sqrt{\frac{0.3(1-0.3)}{195}}}=1.01  

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 assumed is \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>1.01)=0.156  

So the p value obtained was a very low value and using the significance level asumed \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIl to reject the null hypothesis, and we can said that at 5% of significance the proportion of women who complain of nausea between the 24th and 28th week of pregnancy is not significantly higher than 0.3 or 30%

6 0
3 years ago
Choose either yes or no to tell if each of the following represents 0.87.
enot [183]
You didnt attach an image lol
4 0
3 years ago
4.9.18
Kruka [31]

Answer:

x= -5 or -1

Step-by-step explanation:

subst y = -x + 5 into y = x^2 + 5x + 10

-x +5 = x^2 + 5x +10

x^2 +6x +5 = 0

(x+5)(x+1)=0

x= -5 or -1

3 0
3 years ago
Read 2 more answers
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