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PSYCHO15rus [73]
3 years ago
6

– 1,4, – 9, 16, – 25, ..?​

Mathematics
2 answers:
kakasveta [241]3 years ago
7 0

Answer:

Send me a clarity question.

Svetradugi [14.3K]3 years ago
5 0

Answer(-1)^{x}×x^{2}

Step-by-step explanation:

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the answer is smallest to biggest

Step-by-step explanation:

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The sum of three consecutive integers is −387. Find the three integers.
rjkz [21]

Answer: -130, - 129, - 128

Step-by-step explanation:

x + x+1 + x+2 = - 387

3x + 3 = - 387

3x = - 387 - 3

x = - 390/3

x = - 130

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3 years ago
6/N = 100/75<br> What is N?
ExtremeBDS [4]
The answer for this question is 4.5
7 0
4 years ago
(x4)2<br> Find the product
IgorLugansk [536]

Answer:

 8

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Step-by-step explanation:

pretend the 8 is a exponent

6 0
3 years ago
Read 2 more answers
In the past decades there have been intensive antismoking campaigns sponsored by both federal and private agencies. In one study
DIA [1.3K]

Answer:

z=\frac{0.384-0.362}{\sqrt{0.374(1-0.374)(\frac{1}{4276}+\frac{1}{3908})}}=2.055    

The p value can be calculated from the alternative hypothesis with this probability:

p_v =2*P(Z>2.055)=0.0399    

And the best option for this case would be:

C. between 0.01 and 0.05.

Step-by-step explanation:

Information provided

X_{1}=1642 represent the number of smokers from the sample in 1995

X_{2}=1415 represent the number of smokers from the sample in 2010

n_{1}=4276 sample from 1995

n_{2}=3908 sample from 2010  

p_{1}=\frac{1642}{4276}=0.384 represent the proportion of smokers from the sample in 1995

p_{2}=\frac{1415}{3908}=0.362 represent the proportion of smokers from the sample in 2010

\hat p represent the pooled estimate of p

z would represent the statistic    

p_v represent the value for the pvalue

System of hypothesis

We want to test the equality of the proportion of smokers and the system of hypothesis are:    

Null hypothesis:p_{1} = p_{2}    

Alternative hypothesis:p_{1} \neq p_{2}    

The statistic is given by:

z=\frac{p_{1}-p_{2}}{\sqrt{\hat p (1-\hat p)(\frac{1}{n_{1}}+\frac{1}{n_{2}})}}   (1)  

Where \hat p=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}=\frac{1642+1415}{4276+3908}=0.374  

Replacing the info given we got:

z=\frac{0.384-0.362}{\sqrt{0.374(1-0.374)(\frac{1}{4276}+\frac{1}{3908})}}=2.055    

The p value can be calculated from the alternative hypothesis with this probability:

p_v =2*P(Z>2.055)=0.0399    

And the best option for this case would be:

C. between 0.01 and 0.05.

7 0
3 years ago
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