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Holt CA Course 1 8-7 Making Predictions Warm Up Warm Up Lesson Presentation Lesson Presentation California Standards California StandardsPreview.

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Presentation on theme: "Holt CA Course 1 8-7 Making Predictions Warm Up Warm Up Lesson Presentation Lesson Presentation California Standards California StandardsPreview."— Presentation transcript:

1 Holt CA Course 1 8-7 Making Predictions Warm Up Warm Up Lesson Presentation Lesson Presentation California Standards California StandardsPreview

2 Holt CA Course 1 8-7 Making Predictions Warm Up 1. Zachary rolled a fair number cube twice. Find the probability of the number cube showing an odd number both times. 2. Larissa rolled a fair number cube twice. Find the probability of the number cube showing a 3 both times. 1 4 __ 1 36 ___

3 Holt CA Course 1 8-7 Making Predictions SDAP3.2 Use data to estimate the probability of future events (e.g., batting averages or number of accidents per mile driven). Also covered: NS1.3, SDAP3.3 California Standards

4 Holt CA Course 1 8-7 Making Predictions Vocabulary prediction

5 Holt CA Course 1 8-7 Making Predictions A prediction is a guess about something in the future. Suppose you know the experimental probability that an airline’s flight will be on time. You can use the probability to predict how many flights out of 1,000 will be on time.

6 Holt CA Course 1 8-7 Making Predictions Lesson Quiz: Part I 1. The owner of a local pizzeria estimates that 72% of his customers order pepperoni on their on their pizza. Out of 250 orders taken in one day, how many would you predict to have pepperoni? about 180

7 Holt CA Course 1 8-7 Making Predictions Lesson Quiz: Part II 2. A bag contains 9 red chips, 4 blue chips, and 7 yellow chips. You pick a chip from the bag, record its color, and put the chip back in the bag. If you do this 100 times, how many times do you expect to remove a yellow chip from the bag? 3. A quality-control inspector has determined that 3% of the items he checks are defective. If the company he works for produces 3,000 items per day, how many does the inspector predict will be defective? about 35 about 90


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