The contingency table below shows the results of a survey of video viewing habits by age. Video Viewing Platform Preferred Viewer Age Mobile/Laptop Device TV Screen Row Total1 18-34 32 35 35-54 67 11 11 22 55+ 11 Column Total 47 53 100 Find the following probabilities or percentages: (a) Probability that a viewer is aged 18-34. (Round your answer to 2 decimal places.) Probability (b) Probability that a viewer prefers watching videos on a TV screen. (Round your answer to 2 decimal places.) Probability (c) Percentage of viewers who are 18-34 and pret videos on a mobile or laptop device. Percentage of viewers % (d) Percentage of viewers given they are 18-34 who prefer videos on a mobile or laptop device. (Round your answer to 2 dec places.) Percentage of viewers % (e) Percentage of viewers who are 35-54 or prefer videos on a mobile or laptop device. Percentage of viewers
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!
Please help me answer part d) and e) !! Thank you! If there is also anything that is wrong, please help me fix this! Thank you!
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