How do I find probabilities using a normal distribution?

• You will be?expected to use?distribution functions on your?GDC?to find the probabilities when working with a normal distribution

How do I calculate?P(X?=?x): the probability of a single value for a normal distribution??

• The probability of a?single value?is?always zero?for a normal distribution
  • You can picture this as the area of a single line is zero
• Your GDC is likely to have a "Normal Probability Density" function
  • This is sometimes shortened to NPD, Normal PD or Normal Pdf
  • IGNORE THIS FUNCTION?for this course!
  • This calculates the?probability?density function?at a point?NOT the probability

How do I calculate?P(a?<?X?<?b): the probability of a range of values for a normal distribution?

• You need a?GDC?that can calculate?cumulative normal probabilities
• You want to use the "Normal Cumulative Distribution" function
  • This is sometimes shortened to NCD, Normal CD or Normal Cdf
• You will need to enter:
  • The 'lower bound' - this is the value?a
  • The 'upper bound' - this is the value?b
  • The 'μ' value - this is the mean
  • The 'σ' value - this is the standard deviation
• Check the order carefully?as some calculators ask for standard deviation before mean
  • Remember it is the standard deviation
    • so if you have the?variance?then?square root it
• Always sketch?a quick diagram to visualise which area you are looking for

How do I calculate?P(X?>?a) or P(X?<?b) for a normal distribution??

• You will still use the "Normal Cumulative Distribution"?function

Are there any useful identities?

These are useful when:

• • The mean and/or standard deviation are unknown
  • You only have a diagram
  • You are working with the?inverse distribution

Given the value of?P(X?<?a) how do I find the value of?a?

• Your?GDC?will have a function called "Inverse Normal Distribution"
  • Some calculators call this InvN
• 
  • The 'area' - this is the value?p
    • Some calculators might ask for the 'tail' - this is the left tail as you know the area to the left of?a
  • The 'μ' value - this is the mean
  • The 'σ' value - this is the standard deviation

Given the value of?P(X?>?a) ?how do I find the value of?a?

• Then use the?method for P(X?<?a)?to find?a
• If your calculator does have the?tail option?(left, right or centre) then you can use the "Inverse Normal Distribution" function straightaway by:
  • Selecting 'right' for the tail
  • Entering the area as?'p'