The table contains data from a study of daily study time for 40 students from Statistics 101. Construct an ogive from the data. Minutes on | Number of | Relative Cumulative students frequency relative frequency 0.05 homework 0-under 15 2 0.05 0.10 0.20 0.45 0.10 0.10 15-under 30 4 0.15 0.35 0.80 0.90 1.00 30-under 45 8 18 45-under 60 60-under 75 75-under 90 4 4 O A. OB. 1.5 Cumulative 1 1.5 Cumulative 1 relative 0.5 frequency relative 0.5- frequency 20 40 60 80 100 20 40 60 80 100 Homework time (minutes) Homework time (minutes)
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!
25. Please tell me which one to choose.
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