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</h3><h3 /><h3><u>Question</u> : 14</h3>
let's solve for f :
Taking reciprocal of both sides :
Sum of all the prime numbers less than 25
2 answers:
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Answer:
Step-by-step explanation:
So, in this problem, we're given the size of the of the file. We are also given the rate of change of the amount-downloaded function.
Notice how the transfer rate is in units of time (25.2 MB/s means 25.2 MB per second).
If we want to calculate how <em>long</em> it'll take to download the entire file, we have to divide the file size by the amount of the MB downloaded in one second. (This is assuming the download rate is constant, in the case it isn't constant, you would use calculus) This will find the total number of seconds needed to download the entire file.
We're essentially solving for t in the equation
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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