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What happens to the standard score as the standard deviation increase?
The standardised score decreases.
What happens to the standard error of the mean if the sample size is decreased?
The standard error increases.
What happens to the standard error of the mean if the sample size is increased?
Decrease
Why is the standard deviation calculation for populations different than for samples and why is the denominator 'n' or 'n-1'?
1. Compute the square of the difference between each value and the sample mean.2. Add those values up.3. Divide the sum by n-1. This is called the variance.4. Take the square root to obtain the Standard Deviation.Why divide by n-1 rather than n in the third step above?In step 1, you compute the difference between each value and the mean of those values. You don't know the true mean of the population; all you know is the mean of your sample. Except for the rare cases where the sample mean happens to equal the population mean, the data will be closer to the sample mean than it will be to the true population mean.The value you compute in step 2 will probably be a bit smaller (and can't be larger) than what it would be if you used the true population mean in step 1. To make up for this, divide by n-1 rather than n.But why n-1?If you knew the sample mean, and all but one of the values, you could calculate what that last value must be. Statisticians say there are n-1 degrees of freedom.
What happens when a population becomes too big for the area?
people start riots for food and lock themselves in their houses
