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Leokris [45]
2 years ago
14

Will give brainliest. Given a mean of 61.2 and a standard deviation of 21.4, what is the z-score of the value 45 rounded to the

nearest tenth?
0.8


−0.9


0.9


−0.8
Mathematics
2 answers:
Likurg_2 [28]2 years ago
6 0

x - mean

z-score = ------------------

std. dev.


Here we have:


45 - 61.2

z-score = ------------------ = -0.757

21.4

Ksju [112]2 years ago
3 0

Answer:

-0.076 is answer.

Step-by-step explanation:

Let X be the corresponding random variable.

Given that X is Normal with mean = 61.2 and std deviation = 21.4

We know that x to z conversion is as follows

z=\frac{x-mean}{\sigma  } =\frac{x-61,2}{21.4}

When x =45 we find correspond z score by substituting for z

X = \frac{45-61.2}{21.4} =0.0757\\=-0.076

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= 3x^4 + x^3y - 8x^2y^2 + 9xy^3 - 13y^4

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The confidence interval for the difference in proportions is

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Step-by-step explanation:

We have to construct a confidence interval for the difference of proportions.

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The estimated standard error is:

\sigma_{p_1-p_2}=\sqrt{\frac{p_1(1-p_1)}{n_1}+\frac{p_2(1-p_2)}{n_2} } \\\\\sigma_{p_1-p_2}=\sqrt{\frac{0.843*0.157}{217}+\frac{0.809*0.191}{398} } \\\\\sigma_{p_1-p_2}=\sqrt{0.000609912+0.000388239}=\sqrt{0.000998151} \\\\ \sigma_{p_1-p_2}=0.0316

The z-value for a 95% confidence interval is z=1.96.

Then, the lower and upper bounds are:

LL=(p_1-p_2)-z*\sigma_p=0.034-1.96*0.0316=0.034-0.062=-0.028\\\\\\UL=(p_1-p_2)+z*\sigma_p=0.034+1.96*0.0316=0.034+0.062=0.096

The confidence interval for the difference in proportions is

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This means that we are not confident that the actual difference of proportions is positive or negative. No proportion is significantly different from the other to conclude there is a difference.

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1 year ago
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