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2 years ago

WILL MARK BRAINLIEST IF CORRECT!!!

Mathematics

2 answers:

blondinia [14]2 years ago

7 0

Answer:

False

Explanation: Not all Binomials that have a perfect square terms are factorable, as an example a binomial, x^2+9=x^2+3^2, has perfect square BUT aren’t factorable, it would only work if instead of x^2+9 it was x^2-9

natta225 [31]2 years ago

6 0

Answer:

false

Step-by-step explanation:

(8/4)/2 = 1

8/(4/2) = 4

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For the following geometric sequence find the recursive formula and the 5th term in the sequence. In your final answer, explain.

VashaNatasha [74]

you have to multiply by -3

so the answers are going to be one negative one positive

and the next 5th terms are 108,-324,972,-2916,8748

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2 years ago

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What is 7x-1+6x-1=180? SHOW WORK!!!!!!

seropon [69]

7x - 1 + 6x - 1 = 180

add the x’s, add the numbers

13x - 2 = 180

add 2 to 180

13x = 182

divide 182 by 13

x = 14

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2 years ago

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(9y® + 2)2 = combine like terms

Vsevolod [243]

Answer:

81y^2+36y+4

Step-by-step explanation:

First: 9y^2= 81y

Next: 2^2= 4

Then: 9y times 2= 18

Last: 18 times 2= 36y

(this : ^2 means squared in case you did not know)

4 0

3 years ago

(a) A newspaper conducted a statewide survey concerning the 1998 race for state senator. The newspaper took a SRS of 1200 regist

Sladkaya [172]

Answer:

n=9604

Step-by-step explanation:

1) Notation and definitions

$X=620$ number of people that would vote for the Republican candidate

$n=1200$ random sample taken

$\hat p=\frac{620}{1200}=0.517$ estimated proportion of people that would vote for the Republican candidate

$p$ true population proportion of people that would vote for the Republican candidate

Me= 0.01 represent th margin of error.

Confidence =0.95 or 95%

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{p(1- p)}{n}})$

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by $\alpha=1-0.95=0.05$ and $\alpha/2 =0.025$ . And the critical value would be given by: