The weekly mean income of a group of executives is $1,000 and the standard deviation of this group is $100. The distribution is normal. What percent of the executive have an income of $925 or less?
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A. B. C. D. E.A
z = (x-u)/sigma = 925 - 1000/100 = -0.75. From z-table z = 0.75 is 0.2734. So 1.0 - 0.7734 = 0.2266.
To determine the percentage of executives with an income of $925 or less, we need to calculate the z-score and use the standard normal distribution table.
The z-score measures the number of standard deviations an observation is from the mean. We can calculate the z-score using the formula:
z = (x - μ) / σ
Where: x = the value we are interested in (in this case, $925) μ = the mean income ($1,000) σ = the standard deviation ($100)
Plugging in the values, we have:
z = (925 - 1000) / 100 z = -0.75
Now, we need to find the area under the standard normal distribution curve for a z-score of -0.75. We can consult the standard normal distribution table or use a statistical calculator to find this value.
Looking up the z-score of -0.75 in the standard normal distribution table, we find that the area to the left of -0.75 is approximately 0.2266.
This means that approximately 22.66% of the executives have an income of $925 or less.
Since none of the given answer choices exactly match this result, we can conclude that the correct answer is "E. None of these answers."