Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers ...

The Central Limit Theorem makes the normal distribution particularly useful. This applet allows users to drag sliders to change the mean and standard deviation of the normal distribution. The applet ...

Following our example, the population average weight of babies in North America and South America has a normal distribution because some babies will be underweight (below the mean) or overweight ...

Identify the conditions when the CLT can be used for inference involving a sample mean: The sample size is sufficiently large or the population is considered to have a normal distribution The ...

Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.

There are two parameters to determine deviation from the normal distribution curve – ‘skewness’ and ‘kurtosis’, which can be explained through the graphs below. Skewness is how asymmetric the data is ...