We know that 68.26% of data is between 580 and 620 using a normal distribution table.
A data set must (when graphed) follow a bell-shaped, symmetrical curve that is centered around the mean in order to be regarded as having a normal distribution.
Additionally, it must follow the empirical rule that shows the proportion of the data set that lies within (plus or minus) 1, 2, and 3 standard deviations of the mean.
So, we know that:
μ = 600
σ = 20
Use the equation:
z - score = x-μ/σ
580 in the data's Z-score:
= 580-600/20
= -20/20
= -1
While the data's z-score in 620:
= 620-600/20
= 20/20
= 1
Using a table of the normal distribution:
P(580 < z) = 0.1587
Also, P(620 > z) = 0.8413
As a result, the percent of the data that falls between 580 and 620 is given by: P(620 > z) - P(580 z).
= 0.8413 - 0.1587
= 0.6826
= 68.26 %
Therefore, we know that 68.26% of the data is between 580 and 620 using a normal distribution table.
Know more about a normal distribution here:
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