# Probability: Zero to One

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Probability can be represented using a scale from 0 to 1 with 0 being impossible and 1 being definite. For each of the five statements below, mark on the probability scale based on the probability of the event occurring.

Remember, the closer your mark gets to 0 for each event, the less likely it is that the event will happen.  The closer your mark gets to 1 for each event, the more likely it is that the event will happen.

 Event Reason You will eat lunch tomorrow. For most people this is very likely so your mark will likely be very close to 1 but since you cannot say for sure, you should not mark it exactly at the 1. You will be late for school on the next school day. If you are late more than half the time then you might have your mark between the half-way point and 1. Hopefully you will be marking closer to 0 but you cannot say for certain that you will not be late so you should not mark at the 0. You will grow 30 cm. In height over night. This will not happen. Your mark should be at 0. You will find a \$50 on the street tomorrow? This is very unlikely, but not impossible. Your mark should be close to 0. Tomorrow will be Saturday This will either be a 0 or a 1 depending on what day you do this worksheet!

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### Related Resources

The various resources listed below are aligned to the same standard, (7SP05) taken from the CCSM (Common Core Standards For Mathematics) as the Statistics and probability Worksheet shown above.

Understand that the probability of a chance event is a number between 0 and 1 that expresses the likelihood of the event occurring. Larger numbers indicate greater likelihood. A probability near 0 indicates an unlikely event, a probability around 1/2 indicates an event that is neither unlikely nor likely, and a probability near 1 indicates a likely event.

#### Worksheet

Similar to the above listing, the resources below are aligned to related standards in the Common Core For Mathematics that together support the following learning outcome:

Investigate chance processes and develop, use, and evaluate probability models

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