the average age of my sample is 21.2 years. the average age of the target population is 19.4. the difference is probably due to
1 answer:
The difference in the average age of the sample and the population is probably due to sampling error
<h3>What is sampling error?</h3>The sampling error in a statistical data is simply an error that arises when a sample that represents the population is not properly selected or analyzed
From the question, we have the following parameters:
-- the sample average
-- the population average
Notice that:
i.e. sample and the population averages are not equal.
This difference is often as a result of sampling error
Read more about sampling errors at:
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Answer:
For a scaler variable, the Gaussian distribution has a probability density function of
p(x |µ, σ² ) = N(x; µ, σ² ) = 1 / 2π×
The term will have a maximum value at the top of the slope of the 1-D Gaussian distribution curve that is when exp(0) =1 or when x = µ
Step-by-step explanation:
Gaussian distributions have similar shape, with the mean controlling the location and the variance controls the dispersion
From the graph of the probability distribution function it is seen that the the peak is the point at which the slope = 0, where µ = 0 and σ² = 1 then solution for the peak = exponential function = 0 or x = µ