1.1: Going Fishing
Andre and his dad have been fishing for 2 hours. In that time, they have caught 9 bluegills and 1 yellow perch.
The next time Andre gets a bite, what kind of fish do you think it will be? Explain your reasoning.
Let's make predictions based on what we know.
Andre and his dad have been fishing for 2 hours. In that time, they have caught 9 bluegills and 1 yellow perch.
The next time Andre gets a bite, what kind of fish do you think it will be? Explain your reasoning.
Your teacher will give your group a bag of colored blocks.
Follow these instructions to play one round of the game:
At the end of the round, record each person's score in the table.
What color bag? | person 1's score | person 2's score | person 3's score | person 4's score | |
---|---|---|---|---|---|
round 1 | |||||
round 2 | |||||
round 3 |
Pause here so your teacher can give you a new bag of blocks for the next round.
Repeat the previous steps to play rounds 2 and 3 of the game.
After you finish playing all 3 rounds, calculate the total score for each person in your group.
Tyler’s class played the block game using purple, orange, and yellow bags of blocks.
One of the main ways that humans learn is by repeating experiments and observing the results. Babies learn that dropping their cup makes it hit the floor with a loud noise by repeating this action over and over. Scientists learn about nature by observing the results of repeated experiments again and again. With enough data about the results of experiments, we can begin to predict what may happen if the experiment is repeated in the future. For example, a baseball player who has gotten a hit 33 out of 100 times at bat might be expected to get a hit about 33% of his times at bat in the future as well.
In some cases, we can predict the chances of things happening based on our knowledge of the situation. For example, a coin should land heads up about 50% of the time due to the symmetry of the coin.
In other cases, there are too many unknowns to predict the chances of things happening. For example, the chances of rain tomorrow are based on similar weather conditions we have observed in the past. In these situations, we can experiment, using past results to estimate chances.