Use the data in the following table, which lists drive-thru Oder accuracy at popular fast food chains. Assume that orders are randomly selected from those included in the table. A B C D Order Accurate 311 279 238 133 Order Not Accurate 32 56 35 16 If one order is selected, find the probability of getting an order from restaurant A or C or an order that is not accurate. (Round to three decimal places as needed)
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!
Use the data in the following table, which lists drive-thru Oder accuracy at popular fast food chains. Assume that orders are randomly selected from those included in the table.
| A | B | C | D | |
|
Order Accurate |
311 | 279 | 238 | 133 |
| Order Not Accurate | 32 | 56 | 35 | 16 |
If one order is selected, find the probability of getting an order from restaurant A or C or an order that is not accurate. (Round to three decimal places as needed)
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