How To Read Z Score Table

If a data value also is 50 then the z score is.
How to read z score table. Z score x µ σ. Intersect the row and column from steps 1 and 2. In other words p z 1 53 0 0630. On some z tables you will find that the area corresponding to 1 09 z score is 0 3621. Roughly 84 13 of people scored worse than him on the sat.
The corresponding area is 0 8621 which translates into 86 21. For george s example we need to use the 2nd table as his test result corresponds to a positive z score of 0 67. Using the above data we need to first standardize his score and use the respective z table before we determine how well he performed compared to his batch mates. For example a z score of 1 53 has an area of 0 0630 to the left of it. To use the z score table start on the left side of the table go down to 1 0 and now at the top of the table go to 0 00 this corresponds to the value of 1 0 00 1 00.
Finding a corresponding probability is fairly easy. If a z score calculation yields a negative standardized score refer to the 1st table when positive used the 2nd table. In this case it is 1 0. A z score is simply defined as the number of standard deviation from the mean. Go to the row that represents the ones digit and the first digit after the decimal point the tenths digit of your z value.
To find out the z score we use the formula. The value in the table is 8413 which is the probability. Z score observed value mean of the sample standard deviation. Then we look up a remaining number across the table on the top which is 0 09 in our example. A z score of zero means that the data value equals the mean.
Then find the value where the row for 1 0 intersects with the column for 0 00 which is 0 8413. To find the probability that z is between two values use the z table to find the probabilities corresponding to each z value and then find the difference between the probabilities. Go to the column that represents the second digit after the decimal point the hundredths digit of your z value. The z score can be calculated by subtracting mean by test value and dividing it by standard value. Find the first two digits on the y axis 0 6 in our example.