It is true that the confidence intervals for the mean provide an estimate for where the true mean lies.
In statistics, a confidence interval denotes the likelihood that a population parameter will fall between a set of values for a given proportion of the time. A confidence interval depicts the likelihood that a parameter will fall between two values near the mean. Confidence intervals quantify the degree of uncertainty or certainty in a sampling procedure.
The mean is a basic mathematical average of two or more values. There are two sorts of means that may be calculated: the arithmetic mean and the geometric mean. A mean tells you the average of a bunch of values, which helps you contextualize each data point.
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This equation is written in slope intercept form (y=mx+b where m is slope and b in the y intercept).
The m value here is -5 so that is the slope.
The b value here is 0 so the y intercept is at 0.
You can also find this by plugging 0 for the value of x.
y= -5(0)
y= 0
Answer:
As we can observe,
F(1) = 567
F(2) = 189 = 567/3 = F(1)/3
F(3) = 63 = 189/3 = F(2)/3
=> F(4) = F(3)/3 = 63/3 = 21
Hope this helps!
:)
