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3 years ago

In which quadrant does the point (-5, 0) lie?

Mathematics

2 answers:

laiz [17]3 years ago

7 0

Answer:

you need to send a pic but gnerally in quadrant 1

Step-by-step explanation:

ELEN [110]3 years ago

6 0

A. Quadrant I
this is where it should be

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Answer:

14.31

Step-by-step explanation:

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3 years ago

The high temperature today is 80 degrees. If the high temperature tomorrow is supposed to

wlad13 [49]

Answer:

Step-by-step explanation:

80 x 0.05 = 4

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3 years ago

Is the square root of 19 equal to 4.358

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3 years ago

Applying properties of Exponents in exercise,use the properties of exponents to simplify the expression.See example 1.

Paladinen [302]

Answer: a) 1024, b) 1, c) 64 and d) 0.125.

Step-by-step explanation:

Since we have given that

(a) $(4^3)(4^2)$

As we know that

$a^m\times a^n=a^{m+n}$

So, it becomes,

$4^3\times 4^2=4^{3+2}=4^5=1024$

(b) $(\dfrac{1}{4})^2(4^2)$

As we know that

$a^{-m}=\dfrac{1}{a^m}$

$(\dfrac{1}{4})^2(4^2)=4^-2\times 4^2=4^{-2+2}=4^0=1$

c) $(4^6)1/2$

As we know that

$(4^6)^{\frac{1}{2}}\\\\=4^{\frac{6}{2}}\\\\=4^3\\\\=64$

(d) $[(8^{-1})(8^{\frac{2}{3}})]^3$

As we know that

$[(8^{-1})(8^{\frac{2}{3}})]^3\\\\=[8^{-1+\frac{2}{3}}]^3\\\\=[8^{\frac{-1}{3}}]^3\\\\=8^{-1}\\\\=\dfrac{1}{8}=0.125$

Hence, a) 1024, b) 1, c) 64 and d) 0.125.

5 0

3 years ago

A private opinion poll is conducted for a politician to determine what proportion of the population favors adding more national

Elenna [48]

Answer:

We need a sample size of at least 271

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of $\pi$ , and a confidence level of $1-\alpha$ , we have the following confidence interval of proportions.

$\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}$

In which

z is the zscore that has a pvalue of $1 - \frac{\alpha}{2}$ .

The margin of error is:

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

90% confidence level

So $\alpha = 0.1$ , z is the value of Z that has a pvalue of $1 - \frac{0.1}{2} = 0.95$ , so $Z = 1.645$ .

How large a sample is needed in order to be 90% confident that the sample proportion will not differ from the true proportion by more than 5%

We need a sample size of at least n, in which n is found when $M = 0.05$

We do not know the true proportion, so we use $\pi = 0.5$ , which is when we are going to need to use the largest sample size.

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

$0.05 = 1.645\sqrt{\frac{0.5*0.5}{n}}$

$0.05\sqrt{n} = 1.645*0.5$

$\sqrt{n} = \frac{1.645*0.5}{0.05}$

$(\sqrt{n})^{2} = (\frac{1.645*0.5}{0.05})^{2}$

$n = 270.6$

Rounding up

We need a sample size of at least 271

7 0

3 years ago

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