With a single ticket, Shannon can ride for the longest time on the ride that has the highest rate in seconds per ticket.
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A distribution of probabilities is a numerical means of describing all unique combinations and the probabilities for a provided random variable, and the further discussion can be defined as follows:
- The distributions mean (average), basic difference, skewness, as well as courtesies, are among such factors.
- A formula, table, or chart can show a probability distribution for discrete probability distribution X that providing
for all x.
- For just a discrete random variable, the probability assigns annual probabilities with only a countless multitude of unique x values.
- <em><u>Each result is likely to be between 0 and 1, including.</u></em>
Therefore, the final choice is "Option A".
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Assuming I understand your question correctly, in that you’re looking for just some descriptions of the differences between the functions. If so, then I’d say:
First graph both functions, the f(x) and the g(x). Then spot the differences.
Note that the g(x) function has shifted towards the right compared with the f(x) function.
Another way that the g(x) differs from the f(x) function is that it’s stretched. The vertex is in the IV quadrant for g(x) rather than at the origin for f(x).
I hope that helps.
First graph both functions, the f(x) and the g(x). Then spot the differences.
Note that the g(x) function has shifted towards the right compared with the f(x) function.
Another way that the g(x) differs from the f(x) function is that it’s stretched. The vertex is in the IV quadrant for g(x) rather than at the origin for f(x).
I hope that helps.