Slide 1

Predicting Outcomes

You are familiar with chance events in your everyday life.

Flip a coin. What is the chance of landing on heads?

Type your answer in the blank.

Description of work area: One blank appears to enter the chance of landing on heads, as a percent.

Correct answer: 50

Slide 2

If you flip a coin 100 times, how many times would you expect it to land on heads?

Type your answer in the blank.

Description of work area: One blank appears to enter the prediction of the number of times landing on heads.

Correct answer: 50

Slide 3

Roll a six-sided die. What is the chance of rolling a 5?

Type your answer in the blanks.

Description of work area: Two blanks appear to enter the chance of rolling a five (the first blank) out of the total number of chances (the second blank).

Correct answer: 1 out of 6

Slide 4

If you roll the die 600 times, how many times would you expect to roll a 5?

Type your answer in the blank.

Description of work area: One blank appears to enter the prediction of the number of times a five would be rolled in 600 times.

Correct answer: 100

Slide 5

You did not need to actually flip a coin or roll a die to determine these answers. You have been flipping coins and rolling dice enough to know, in the long run, what the outcomes will be.

Not all events are as easy to predict as the die or the coin because we have not experienced them for a long period of time. As with the Michael Jordan example, we need to collect data to make long-term predictions.

Slide 6

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