When working with the normal distribution you will need to be able to calculate probabilities.
It is important that you are able to use the tables correctly and this is generally where I find that people go wrong. In the tutorials that follow I try to show you how to handle the various possible situations that you may come across.

Calculating P(X<x) where x>µ

A battery has a lifetimes which are normally distributed with a mean of 62 hours and a standard deviation of 3 hours. What is the probability of a battery lasting less than 68 hours?

Normal Distribution | Calculating Probability using Tables (1 of 4) - youtube Video

Calculating P(X>x) where x>µ

The masses of a well known brand of breakfast cereal are normally distributed with mean of 250g and standard deviation of 4g. Find the probability of a packet containing more than 254.4g.

Normal Distribution | Calculating Probability using Tables (2 of 4) - youtube Video

Calculating P(X>x) where x<µ

A carton of orange juice has a volume which is normally distributed with a mean of 120ml and a standard deviation of 1.8ml. Find the probability that the volume is more than 118ml.

Normal Distribution | Calculating Probability using Tables (3 of 4) - youtube Video

Calculating P(X<x) where x<µ

A light bulb has lifetimes which are distributed with a mean of 520 hours and a standard deviation of 6 hours. What is the probability of a light bulb lasting less than 511 hours?

Normal Distribution | Calculating Probability using Tables (4 of 4) - youtube Video