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bonufazy [111]
3 years ago
6

△ABC is similar to △XYZ. Also, angle A measures 45° and angle C measures 60°.

Mathematics
1 answer:
galben [10]3 years ago
8 0
In any triangle all angles must equal 180 so if A is 45 (half right angle) and C is 60 then add them to get 105 then minus it from 180 to get 75 the answer for B

ABC triangle is the same amount as XYZ  A and X the fist letters are 45 C and Z are 60 and and B and Y are 75
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In statistics, the standard deviation deviation may be a measure of the quantity of variation or dispersion of a group of values. The margin of error may be a statistic expressing the number of sampling error within the results of a survey. The correlation could be a statistical measure of the strength of the connection between the relative movements of two variables.

Given nothing and that we need to explain standard deviation. margin of error, correlation coefficient .

Standard deviation

In statistics, the standard deviation may be a measure of the number of variation or dispersion of a group of values. an occasional variance indicates that the values tend to be near the mean of the set, while a high variance indicates that the values are detached over a wider range.

Formula: \sqrt{(x-x bar)^{2}/N }

where x bar is mean and N is size of population.

Margin of error

The margin of error may be a statistic expressing the quantity of sampling error within the results of a survey. The larger the margin of error, the less confidence one should have that a poll result would reflect the results of a survey of the complete population.

Formula for M=z*s/\sqrt{n}

here z is z value of Z score , s is variance , n is that the sample size.

Correlation coefficient

In statistics, the Pearson parametric statistic ― also called Pearson's r, the Pearson product-moment parametric statistic, the bivariate correlation, or colloquially simply because the coefficient of correlation ― could be a measure of linear correlation between two sets of information.

Formula=∑(x_{i} -x bar)(y_{i} -y bar)/\sqrt{}∑(x_{i} -x bar)^{2}∑(y_{i}-ybar) ^{2}

Learn more about correlation coefficient at brainly.com/question/4219149

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