Standard normal table

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A standard normal table also called the "Unit Normal Table" is a table that is used to find the probability that a statistic is observed below, above, or between values on the standard normal distribution, and by extension, any normal distribution.

Normal distributions are symmetrical, bell-shaped distributions that are useful in describing real-world data. The standard normal distribution, represented by the letter Z, is the normal distribution having a mean of 0 and a standard deviation of 1. Since probability tables cannot be printed for every normal distribution, (there are infinite), it is common practice to convert a normal to a standard normal, and use a Z table to find probabilities.

Contents 1 Reading the table 2 Converting from normal to standard normal 2.1 Examples 3 References

[edit] Reading the table

Printed tables usually give cumulative probabilities, the chance that a statistic takes a value less than or equal to a number, from at least 0.00 to 2.99 by 1/100. To read the value 1.57 on a typical table, go to 1.5 down and 0.07 across. The probability of Z ≤ 1.57 = 0.9418.

WARNING: Some textbooks print tables differently. Another table would give Prob(Z ≥ 1.57) = .0582. Another may give Prob (0 ≤ Z ≤ 1.57) = .4418. It is important to know how your table works to get your desired probability. If your table does not have negative values, use symmetry to find the answer. Remember that 50% falls below and above 0.

[edit] Converting from normal to standard normal

If X is a random variable from a normal distribution with mean μ and standard deviation σ, X will become Z-score by subtracting μ and dividing by σ.

If you are using an average, divide the standard deviation by the square root of the sample size.

[edit] Examples

A professor's exam scores are approximately distributed normally with mean 80 and standard deviation 5.

• What is the probability that a student scores an 82 or less?

Prob(X ≤ 82) = Prob(Z ≤ (82-80)/5) = Prob(Z ≤ .40) = .6554

• What is the probability that a student scores a 90 or more?

Prob(X ≥ 90) = Prob(Z ≥ (90-80)/5) = Prob(Z ≥ 2.00) = 1 - Prob(Z ≤ 2.00) = 1 - .9772 = .0228

• What is the probability that a student scores a 74 or less?

Prob(X ≤ 74) = Prob(Z ≤ (74-80)/5) = Prob(Z ≤ -1.20) = .1151

If your table does not have negatives, use Prob(Z ≤ -1.20) = Prob(Z ≥ 1.20) = 1 - .8849 = .1151

• What is the probability that a student scores between 78 and 88?

Prob(78 ≤ X ≤ 88) = Prob((78-80)/5 ≤ Z ≤ (88-80)/5) = Prob(-0.40 ≤ Z ≤ 1.60) = Prob(Z ≤ 1.60) - Prob(Z ≤ -0.40) = .9452 - .3446 = .6006

• What is the probability that an average of three scores is 82 or less?

Prob(X ≤ 82) = Prob(Z ≤ (82-80)/(5/√3)) = Prob(Z ≤ .69) = .7549

[edit] References