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Common misconceptions in high school statisticsprobability curriculum

I am teaching statisticsprobability to high school students. The material we are covering is pretty standard and includes:

  • Introducing how to calculate the probability of events, e.g. coin flips, card draws, lottery tickets.

  • The sum of the probabilities of all events is $1$

  • Independent Events: $P(B \mid A) = P(B)$ and $P(A) \cdot P(B) =P(A \cap B)$

  • Venn Diagrams and $P(A \cup B) = P(A) + P(B) - P(A \cap B)$

  • Conditional probability: $P(B \mid A) = \frac{P(A \cap B)}{P(A)}$

  • Bayes Rule: $P(B \mid A) \cdot P(A) = P(A \mid B) \cdot P(B)$

  • Product Rule: $P(B \cap A) = P(A) \cdot P(B \mid A)$

  • Total Probability: $P(B) = P(A) \cdot P(B \mid A) + P(\bar{A}) \cdot P(B \mid\bar{A})$

  • Binomial Trials

I am looking for examples of common misconceptions students have, or common mistakes that they do, when solving problems. Trivial examples are welcome. A preferred answer should also suggest ways in which one can prevent students to have said misconception.

An example of a common mistake would be:

Problem: You draw a card from a deck. What is the probability that it is red and has value J,Q,K or A?

Answer: $\frac{26}{52} + \frac{16}{52}$

My best suggestion for explaining to a student that this is wrong might be to change the problem to say red and black instead of simply red, and thus following the same logic getting a probability greater than $1$. But having students make similar thoughts seems unrealistic to me, and I am lost at how to best proceed.

Common misconceptions in high school statistics curriculum

I am teaching statistics to high school students. The material we are covering is pretty standard and includes:

  • Introducing how to calculate the probability of events, e.g. coin flips, card draws, lottery tickets.

  • The sum of the probabilities of all events is $1$

  • Independent Events: $P(B \mid A) = P(B)$ and $P(A) \cdot P(B) =P(A \cap B)$

  • Venn Diagrams and $P(A \cup B) = P(A) + P(B) - P(A \cap B)$

  • Conditional probability: $P(B \mid A) = \frac{P(A \cap B)}{P(A)}$

  • Bayes Rule: $P(B \mid A) \cdot P(A) = P(A \mid B) \cdot P(B)$

  • Product Rule: $P(B \cap A) = P(A) \cdot P(B \mid A)$

  • Total Probability: $P(B) = P(A) \cdot P(B \mid A) + P(\bar{A}) \cdot P(B \mid\bar{A})$

  • Binomial Trials

I am looking for examples of common misconceptions students have, or common mistakes that they do, when solving problems. Trivial examples are welcome. A preferred answer should also suggest ways in which one can prevent students to have said misconception.

An example of a common mistake would be:

Problem: You draw a card from a deck. What is the probability that it is red and has value J,Q,K or A?

Answer: $\frac{26}{52} + \frac{16}{52}$

My best suggestion for explaining to a student that this is wrong might be to change the problem to say red and black instead of simply red, and thus following the same logic getting a probability greater than $1$. But having students make similar thoughts seems unrealistic to me, and I am lost at how to best proceed.

Common misconceptions in high school probability curriculum

I am teaching probability to high school students. The material we are covering is pretty standard and includes:

  • Introducing how to calculate the probability of events, e.g. coin flips, card draws, lottery tickets.

  • The sum of the probabilities of all events is $1$

  • Independent Events: $P(B \mid A) = P(B)$ and $P(A) \cdot P(B) =P(A \cap B)$

  • Venn Diagrams and $P(A \cup B) = P(A) + P(B) - P(A \cap B)$

  • Conditional probability: $P(B \mid A) = \frac{P(A \cap B)}{P(A)}$

  • Bayes Rule: $P(B \mid A) \cdot P(A) = P(A \mid B) \cdot P(B)$

  • Product Rule: $P(B \cap A) = P(A) \cdot P(B \mid A)$

  • Total Probability: $P(B) = P(A) \cdot P(B \mid A) + P(\bar{A}) \cdot P(B \mid\bar{A})$

  • Binomial Trials

I am looking for examples of common misconceptions students have, or common mistakes that they do, when solving problems. Trivial examples are welcome. A preferred answer should also suggest ways in which one can prevent students to have said misconception.

An example of a common mistake would be:

Problem: You draw a card from a deck. What is the probability that it is red and has value J,Q,K or A?

Answer: $\frac{26}{52} + \frac{16}{52}$

My best suggestion for explaining to a student that this is wrong might be to change the problem to say red and black instead of simply red, and thus following the same logic getting a probability greater than $1$. But having students make similar thoughts seems unrealistic to me, and I am lost at how to best proceed.

Source Link
Improve
  • 1.8k
  • 2
  • 15
  • 28

Common misconceptions in high school statistics curriculum

I am teaching statistics to high school students. The material we are covering is pretty standard and includes:

  • Introducing how to calculate the probability of events, e.g. coin flips, card draws, lottery tickets.

  • The sum of the probabilities of all events is $1$

  • Independent Events: $P(B \mid A) = P(B)$ and $P(A) \cdot P(B) =P(A \cap B)$

  • Venn Diagrams and $P(A \cup B) = P(A) + P(B) - P(A \cap B)$

  • Conditional probability: $P(B \mid A) = \frac{P(A \cap B)}{P(A)}$

  • Bayes Rule: $P(B \mid A) \cdot P(A) = P(A \mid B) \cdot P(B)$

  • Product Rule: $P(B \cap A) = P(A) \cdot P(B \mid A)$

  • Total Probability: $P(B) = P(A) \cdot P(B \mid A) + P(\bar{A}) \cdot P(B \mid\bar{A})$

  • Binomial Trials

I am looking for examples of common misconceptions students have, or common mistakes that they do, when solving problems. Trivial examples are welcome. A preferred answer should also suggest ways in which one can prevent students to have said misconception.

An example of a common mistake would be:

Problem: You draw a card from a deck. What is the probability that it is red and has value J,Q,K or A?

Answer: $\frac{26}{52} + \frac{16}{52}$

My best suggestion for explaining to a student that this is wrong might be to change the problem to say red and black instead of simply red, and thus following the same logic getting a probability greater than $1$. But having students make similar thoughts seems unrealistic to me, and I am lost at how to best proceed.