Z Score Table Printable

Z Score Table Printable - 0.0 0.2 0.6 0.8 0.9 1.0 1.1 1.2 1.3 1.6 1.9 2.0 2.1 2.2 2.3 2.6 2.8 2.9 3.0 3.1 3.2 3.3 3.5 3.6 3.8 3.9.00.50000.53983.57926.61791.65542.69146.72575.75804.78814.81594 Table values re resent area to the left of the z score. Table values represent area to the left of the z score. 0.09 3.4 0.0002 3.3 0.0003 3.2 0.0005 3.1 0.0007 3.0 0.0010 2.9 0.0014 2.8 0.0019 2.7 0.0026 2.6 0.0036 2.5 0.0048 2.4 0.0064 2.3 0.0084 2.2 0.0110 2.1 0.0143 2.0 0.0183 1.9 0.0233 1.8 0.0294 1.7 0.0367 1.6 0.0455 1.5 0.0559 1.4 0.0681 Probability z table a standard normal probabilities z.00.01.02.03. Once we have the z score which was derived through the z score formula, we can now go to the next part which is understanding how to read the z table and map the value of the z score we’ve got, using it. Web z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.0 0.5000 0.5040 0.5080 0.5120 0.5160 0.5199 0.5239 0.5279 0.5319 0.5359 0.1 0.5398 0.5438 0.5478 0.5517 0.5557 0.

Table values represent area to the left of the z score. Table values re resent area to the left of the z score. Web z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.0 0.5000 0.5040 0.5080 0.5120 0.5160 0.5199 0.5239 0.5279 0.5319 0.5359 0.1 0.5398 0.5438 0.5478 0.5517 0.5557 0. Once we have the z score which was derived through the z score formula, we can now go to the next part which is understanding how to read the z table and map the value of the z score we’ve got, using it. Probability z table a standard normal probabilities z.00.01.02.03. 0.0 0.2 0.6 0.8 0.9 1.0 1.1 1.2 1.3 1.6 1.9 2.0 2.1 2.2 2.3 2.6 2.8 2.9 3.0 3.1 3.2 3.3 3.5 3.6 3.8 3.9.00.50000.53983.57926.61791.65542.69146.72575.75804.78814.81594 0.09 3.4 0.0002 3.3 0.0003 3.2 0.0005 3.1 0.0007 3.0 0.0010 2.9 0.0014 2.8 0.0019 2.7 0.0026 2.6 0.0036 2.5 0.0048 2.4 0.0064 2.3 0.0084 2.2 0.0110 2.1 0.0143 2.0 0.0183 1.9 0.0233 1.8 0.0294 1.7 0.0367 1.6 0.0455 1.5 0.0559 1.4 0.0681

Table values represent area to the left of the z score. Once we have the z score which was derived through the z score formula, we can now go to the next part which is understanding how to read the z table and map the value of the z score we’ve got, using it. Web z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.0 0.5000 0.5040 0.5080 0.5120 0.5160 0.5199 0.5239 0.5279 0.5319 0.5359 0.1 0.5398 0.5438 0.5478 0.5517 0.5557 0. 0.09 3.4 0.0002 3.3 0.0003 3.2 0.0005 3.1 0.0007 3.0 0.0010 2.9 0.0014 2.8 0.0019 2.7 0.0026 2.6 0.0036 2.5 0.0048 2.4 0.0064 2.3 0.0084 2.2 0.0110 2.1 0.0143 2.0 0.0183 1.9 0.0233 1.8 0.0294 1.7 0.0367 1.6 0.0455 1.5 0.0559 1.4 0.0681 Probability z table a standard normal probabilities z.00.01.02.03. 0.0 0.2 0.6 0.8 0.9 1.0 1.1 1.2 1.3 1.6 1.9 2.0 2.1 2.2 2.3 2.6 2.8 2.9 3.0 3.1 3.2 3.3 3.5 3.6 3.8 3.9.00.50000.53983.57926.61791.65542.69146.72575.75804.78814.81594 Table values re resent area to the left of the z score.

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Web Z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.0 0.5000 0.5040 0.5080 0.5120 0.5160 0.5199 0.5239 0.5279 0.5319 0.5359 0.1 0.5398 0.5438 0.5478 0.5517 0.5557 0.

Once we have the z score which was derived through the z score formula, we can now go to the next part which is understanding how to read the z table and map the value of the z score we’ve got, using it. Table values represent area to the left of the z score. Table values re resent area to the left of the z score. Probability z table a standard normal probabilities z.00.01.02.03.

0.0 0.2 0.6 0.8 0.9 1.0 1.1 1.2 1.3 1.6 1.9 2.0 2.1 2.2 2.3 2.6 2.8 2.9 3.0 3.1 3.2 3.3 3.5 3.6 3.8 3.9.00.50000.53983.57926.61791.65542.69146.72575.75804.78814.81594

0.09 3.4 0.0002 3.3 0.0003 3.2 0.0005 3.1 0.0007 3.0 0.0010 2.9 0.0014 2.8 0.0019 2.7 0.0026 2.6 0.0036 2.5 0.0048 2.4 0.0064 2.3 0.0084 2.2 0.0110 2.1 0.0143 2.0 0.0183 1.9 0.0233 1.8 0.0294 1.7 0.0367 1.6 0.0455 1.5 0.0559 1.4 0.0681

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