What is the area below the standard normal density curve on the right of 0.24? a.-0.4052 b. 0.4052 c.-0.5948 d. 0.5948 The area on the left of a z-value below the standard normal density curve is 0.33. What is this z-value? a.-0.3703 b.0.44 c.-0.44 d.0.6293
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
What is the area below the standard normal density curve on the right of 0.24?
a.-0.4052
b. 0.4052
c.-0.5948
d. 0.5948
The area on the left of a z-value below the standard normal density curve is 0.33. What is this z-value?
a.-0.3703
b.0.44
c.-0.44
d.0.6293
The area to the right of 0.24 can be calculated using Excel command 1-NORM.S.DIST (0.24, TRUE).
Thus the area obtained is 0.405165.
Therefore the correct answer is part b. 0.4052.
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