One way to ease some of the pain in using the 'negative infinity to 1.46' We get this by taking 0.5000 and subtracting the

We want just the part to the right of the shaded area. The graph and table give the part we do not want so we need to Using graphs we could represent this by the shaded areas in The area under the normal distribution curve from Thus for a given z-score, let us take 1.46, We need to understand what the values in the tables represent. Provide values representing different areas under the normal curve.Īs a result, in order to coorrectly interpret the table values In order to conserve space, this list of pairs of values isĬhanges every time this page is loaded, but it is the same as in the example above.)Īs if having the two different arrangements, the cross and listĪrrangements, is not difficult enough, various tables The possible z-scores along with the table associated value.

(Note that the z-scoreĪn alternative arrangement, the list arrangement, gives Here is a typical portion of such a table. Is the desired table value for that combined z-score. The table item at the intersection of the row and column Right part to identify a column of the table. Then we use the left part to identify a row of the table Thus, a z-score of 2.41 becomes 2.4 and 0.01.

Is usually the units and tenths digits and the right part is the hundredths digit. Here we break the z-score into two parts, the left part One of those tables is sure to give the cumulative frequencyĪlthough it might seem reasonable to have a standard presentation ofįor the cumulative frequency of a normal distributionĪ common approach to this is the ' cross-table' arrangement. Virtually every text on statistics includes an appendix full of tables. Reading Normal Distribution Tables Reading Normal Distribution Tables

Standard normal curve z score table