The distribution of systolick blood pressure of 19-year old women is approximantely bell shaped with a mean of 120 mmHg and standard deviation of 12 mmHg. What percentage of 19 year old women have a systolic blood pressure less than 144 mmHg? Draw a curve, label the horizontal axix and the curve itself with the appropriate Empirical Rule values as shown and shade the specified area. Approximate percentage: What systolic blood pressure value is 1.4 standard deviation Below the mean? How many standard deviations from the mean is a systolic blood pressure value of 148?
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!
The distribution of systolick blood pressure of 19-year old women is approximantely bell shaped with a
What percentage of 19 year old women have a systolic blood pressure less than 144 mmHg? Draw a curve, label the horizontal axix and the curve itself with the appropriate
Approximate percentage:
What systolic blood pressure value is 1.4 standard deviation Below the mean?
How many standard deviations from the mean is a systolic blood pressure value of 148?
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