Four different types of advanced data analytics may include social media, behavioral, test and web analyses.
<h3>What does advanced data analytics mean?</h3>
The expression 'advanced data analytics' makes reference to models in computation used to collect (and also examine) big volumes of data.
Advanced data analytics are based on distinct algorithms that allow making accurate predictions by using a particular set of data (e.g., machine learning algorithms).
In conclusion, four different types of advanced data analytics may include social media, behavioral, test and web analyses.
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Explanation:
We are given:
sample size= n = 45
sample mean = x = 61,300
sample standard deviation =18,246
Since the population standard deviation is not known we will use t distribution to find the confidence interval.
Confidence interval = 99%
Degrees of freedom= n - 1 = 45 – 1 = 44
Critical t value = 2.692
The 99% confidence interval will be:
Thus, the 99% confidence interval for the population mean is:
53978 to 68622
The <em>average rate of change</em> of the function y = cos(2x) over the interval (0, π/2) is
The <em>average rate of change</em> over a given interval is defined thus :
- Where a and b are the interval values
<u>At a = </u><u>0</u><u> </u><u>:</u><u> </u>
- f(0) = cos(2(0)) = Cos 0 = 1
<u>At b = π/2</u> :
- f(π/2) = cos(2(π/2)) = Cos π = - 1
Hence,
Therefore, the <em>average rate of change</em> over the interval is
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