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What happens if you estimate population standard deviation with the sample standard deviation?
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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
What happens to the standard score as the standard deviation increase?
The standardised score decreases.
What happens to the standard score as the standard deviation increases?
The absolute value of the standard score becomes smaller.
What happens to the confidence interval as the standard deviation of a distribution decreases?
It goes up.
What happens to the confidence interval as the standard deviation of a distribution increases?
The standard deviation is used in the numerator of the margin of error calculation. As the standard deviation increases, the margin of error increases; therefore the confidence interval width increases. So, the confidence interval gets wider.
What happens to the sample size if you increase the standard deviation?
The statistics of the population aren't supposed to depend on the sample size. If they do, that just means that at least one of the samples doesn't accurately represent the population. Maybe both.
As standard deviation increases what happens to the sample size in order to achieve a specified level of confidence?
decreases
What happens if a value falls below the mean 2 standard deviation when the probability to belong to the distribution is lower than 0.05?
Nothing actually happens! You just get a value that is very unlikely but still possible. That it is possible is evidenced by the fact that the value was observed.
What happens in a normal distribution when the means are equal but the standard deviation changes?
The two distributions are symmetrical about the same point (the mean). The distribution where the sd is larger will be more flattened - with a lower peak and more spread out.
What happens if the mean of absolute deviation is a small number than the mean?
Nothing happens. There is no particular significance in that happening.
How many people in the world have low IQ?
It is difficult to accurately estimate the number of people in the world with low IQ, as IQ assessments can vary and are influenced by factors like culture and socioeconomic status. However, some studies suggest that around 15% of the global population may fall into the category of low IQ.
What happens to the standard error of the mean if the sample size is decreased?
The standard error increases.
What happens when there is a decrease in sunlight over the algal population?
The population decreases.
