Normal distributions come up time and time again in statistics. A normal distribution has some interesting properties: it has a bell shape, the mean and median are equal, and 68% of the data falls …

We take an extremely deep dive into the normal distribution to explore the parent function that generates normal distributions, and how to modify parameters in the function to produce a normal distribution …

We'll measure the position of data within a distribution using percentiles and z-scores, we'll learn what happens when we transform data, we'll study how to model distributions with density curves, and …

The random condition ensures that the sample is representative of the population, while the normal condition ensures that the sampling distribution is approximately normal, which is necessary for …

We'll measure the position of data within a distribution using percentiles and z-scores, we'll learn what happens when we transform data, we'll study how to model distributions with density curves, and …

Practice determining if the sampling distribution of a sample proportion is skewed or approximately normal.

The normal force determines how tightly those surface imperfections are pushed together. The closer the surfaces, the more deeply the “hills” and “valleys” of the surfaces sink into each other, so the …

You can also find z* by using the Inverse Normal (invNorm) function. Try searching your calculator on the Internet to check if you have these functions. There are also plenty of online z* calculators if you …

The Black-Scholes Formula helps value stock options. It considers stock price, exercise price, risk-free interest rate, time, and volatility. The formula is important for European call options. Higher volatility …

Many natural systems approach the normal distribution at high numbers. If you flip a coin 10 times and write down how many heads you got - and do that 1000 more times.