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: 
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/
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.
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Learn more about correlation coefficient at brainly.com/question/4219149
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Answer:
4
Step-by-step explanation:
if 36.24 is divided by 90.6 can be 9.06
36.24÷9.06
4
or by other style
36.24×100=3624
90.6×100= 9060
according to the question
36.24÷90.6 or 3624÷9060
=4 or 0.4
Answer:
y=2x^2
Step-by-step explanation:
when you apply a number greater than 1 to the x value, it compresses the x value by the denominator of the fraction.
Answer: y = (x - 6)^2
work:
y = x^2 - 12x + 36
y = (x - 6) (x - 6)
y = (x - 6)^2