Description

I originally designed this activity for my 7th grade math class.

This activity has students deduce the probability of fishing up items of different categories in Minecraft Education Edition. Students fish up 10 items each and draw conclusions based on their findings. Students then combine their data with other students to get a more accurate percentage. The true percentage can be found on the Minecraft Wiki linked below, with the categories having a chance of:

Fish 85%

Treasure 5%

Junk 10%

Source: https://minecraft.fandom.com/wiki/Fishing

This lesson should teach students the difference between actual and experimental probability, as well as how data gets more and more accurate as you increase the sample size.

Inside the .zip file, you should find a handout for students to complete during the activity, as well as the Minecraft world file that you will need to import into Minecraft education edition and host for your students.

I am a relatively new teacher, and am just getting started developing activities and lessons like these. Your feedback and experiences with this activity would be greatly appreciated!

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Minecraft Fishing and Probability

Name: Minecraft Fishing and Probability
Brand: Thatweebteacher
SKU: 7656382
Availability: InStock

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Highlights

Grades

7th

Subjects

Math, Science, Statistics

Standards

CCSS7.SP.C.6

CCSS7.SP.C.7

CCSS7.SP.C.7b

Description

Treasure 5%

Junk 10%

Source: https://minecraft.fandom.com/wiki/Fishing

This lesson should teach students the difference between actual and experimental probability, as well as how data gets more and more accurate as you increase the sample size.

Report this resource to TPT

Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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Questions & Answers

Standards

to see state-specific standards (only available in the US).

CCSS7.SP.C.6

Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.

CCSS7.SP.C.7

Develop a probability model and use it to find probabilities of events. Compare probabilities from a model to observed frequencies; if the agreement is not good, explain possible sources of the discrepancy.

CCSS7.SP.C.7b

Develop a probability model (which may not be uniform) by observing frequencies in data generated from a chance process. For example, find the approximate probability that a spinning penny will land heads up or that a tossed paper cup will land open-end down. Do the outcomes for the spinning penny appear to be equally likely based on the observed frequencies?