1.The pulse rates of patients in a clinic follow normal distribution with mean 65 and standard deviation 25. What is the percentage of patients with pulse rate less than 80? a. 23% b. 27.43% c. 72.52% d. None of the above 2.what is the percentage of patients with pulse rate between 60 and 80? a. -30.5% b. 30.5% c. -20% d. 20% 3.What is the approximate 40th percentile of the variable 'Pulse Rate'? a. 52 b. 59 c. 89 d. 71
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!
1.The pulse rates of patients in a clinic follow
a. 23%
b. 27.43%
c. 72.52%
d. None of the above
2.what is the percentage of patients with pulse rate between 60 and 80?
a. -30.5%
b. 30.5%
c. -20%
d. 20%
3.What is the approximate 40th percentile of the variable 'Pulse Rate'?
a. 52
b. 59
c. 89
d. 71
Suppose in question 1, you have drawn a sample of 49 patients from the population. What should be the probability that the average pulse rate based on these 40 patients is above 70?
a. 0.4207
b. 0.5793
c. 0.9292
d.0.0808
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