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ResourceSpotlight
In this activity, students will calculate the experimental probability of winning a basketball game by shooting two free-throws using a random integer simulation. They will also calculate experimental probabilities for two people having a shared birthday and a batter in a baseball getting walked to first base.
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Texas Instruments, Inc.
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ResourceSpotlight
In this introductory activity, students will use the RandInt() command to simulate the tossing of a coin and the rolling of a die. They will collect data for several trials and use the information to investigate the Law of Large Numbers.
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Texas Instruments, Inc.
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ResourceSpotlight
Students will be introduce to hypothesis testing. Students are given the number of pieces by color in a bag of candy. They are asked if they think the bag could have come from a manufacturing process designed to produce equal proportions of each color. They will then use a chi-square test for goodness-of-fit to determine if there is a significant difference between the proportions they find in the sample and those they would expect if the manufacturer produced equal proportions of each color.
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Texas Instruments, Inc.
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ResourceSpotlight
In this activity, students will calculate the experimental probability of winning a basketball game by shooting two free-throws using a random integer simulation. They will also calculate experimental probabilities for two people having a shared birthday and a batter in a baseball getting walked to first base.
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Texas Instruments, Inc.
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ResourceSpotlight
Students learn about each of the four types of probability sampling methods and use the randInt command to find each kind of sample from a given population. For stratified sampling, students find both a proportionate and a disproportionate sample.
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Texas Instruments, Inc.
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ResourceSpotlight
In this activity, students will use a simulation to find the experimental probability of independent events. They will find the sample space and then compare the experimental and theoretical probabilities. Then students are introduced to dependent events and the formula for conditional probability.
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Texas Instruments, Inc.
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ResourceSpotlight
Students learn about each of the four types of probability sampling methods and use the randInt command to find each kind of sample from a given population. For stratified sampling, students find both a proportionate and a disproportionate sample.
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|
Texas Instruments, Inc.
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ResourceSpotlight
Students will be introduce to hypothesis testing. Students are given the number of pieces by color in a bag of candy. They are asked if they think the bag could have come from a manufacturing process designed to produce equal proportions of each color. They will then use a chi-square test for goodness-of-fit to determine if there is a significant difference between the proportions they find in the sample and those they would expect if the manufacturer produced equal proportions of each color.
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Texas Instruments, Inc.
|
|
|
ResourceSpotlight
In this introductory activity, students will use the RandInt() command to simulate the tossing of a coin and the rolling of a die. They will collect data for several trials and use the information to investigate the Law of Large Numbers.
|
|
Texas Instruments, Inc.
|
|
|
ResourceSpotlight
In this activity, students will use a simulation to find the experimental probability of independent events. They will find the sample space and then compare the experimental and theoretical probabilities. Then students are introduced to dependent events and the formula for conditional probability.
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Texas Instruments, Inc.
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