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vladimir2022 [97]
4 years ago
6

I'm making a table.

Mathematics
1 answer:
Ivenika [448]4 years ago
3 0
Well I think I can help you out ...
if you assume input x=2
the output will be as following :
y= -1/3(2)+2
=-2/3+2
=-2/3+6/3
=(-2+6)/3
=4/3
=1.333
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What happens when supply exceeds demand?
Dvinal [7]

Answer:

A

Step-by-step explanation:

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8 0
2 years ago
Can you help me find the test statistic AND Pvalue for a hypothesis test. The question is: In a survey respondents were asked wo
vitfil [10]

Answer:

Test statistic z=0.65

P-value=0.52

Fail to reject the null hypothesis.

Step-by-step explanation:

Here we have to perform a hypothesis test on the difference of proportions. We may want to answer if there is significant difference in the proportions of male and females.

The null and alternative hypothesis are:

H_0: \pi_1=\pi_2\\\\H_1: \pi_1\neq\pi_2

The significance level is defined as 0.05.

The YES proportion for females is:

p_1=33/98=0.337

The YES proportion for males is:

p_2=30/102=0.294

The weighted average of p can be calculated as:

p=\frac{n_1*p_1+n_2*p_2}{n_1+n_2}=\frac{33+30}{98+102}=0.315

With this p, we estimate the standard deviation

s=\sqrt{\frac{p(1-p)}{n_1}+\frac{p(1-p)}{n_2} }=\sqrt{\frac{0.315(1-0.315)}{98}+\frac{0.315(1-0.315)}{102} }=0.066

The test statistic z can be calculated as:

z=\frac{p_1-p_2}{s} =\frac{0.337-0.294}{0.066}=\frac{0.043}{0.066}=0.65

We can calculate the p-value for z, taking into account is a two-sided test

P(|z|>0.65)=0.52

The P-value (0.52) is greater than the significance level (0.05), so the effect is not significant. It failed to reject the null hypothesis.

We have enough evidence to conclude that the proportions that vote YES are different between genres.

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Step-by-step explanation:

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Answer:

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tangare [24]

Answer:do 11.75 times 50 and that would give u your answer hopes this helps!

Step-by-step explanation:

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