Holt CA Course 1 8-7 Making Predictions SDAP3.2 Use data to estimate the probability of future...
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Transcript of Holt CA Course 1 8-7 Making Predictions SDAP3.2 Use data to estimate the probability of future...
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
Holt CA Course 1
8-7 Making Predictions
Vocabularyprediction
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.
Holt CA Course 1
8-7 Making PredictionsAdditional Example 1: Using Experimental
Probability to Make PredictionsA store claims that 78% of shoppers end up buying something. Out of 1,000 shoppers, how many would you predict will buy something?
You can write a proportion. Remember that percent means “per hundred.”
Holt CA Course 1
8-7 Making PredictionsAdditional Example 1 Continued
100x 100 ____ 78,000
100 ______= Divide both sides by 100.
x = 780You can predict that about 780 out of 1,000 customers will buy something.
Think: 78 out of 100 is how many out of 1,000?
100 • x = 78 • 1,000100x = 78,000
The cross products are equal.
78100___ x
1,000=
Holt CA Course 1
8-7 Making PredictionsCheck It Out! Example 1
A store claims 62% of shoppers end up buying something. Out of 1,000 shoppers, how many would you predict will buy something?
You can write a proportion. Remember that percent means “per hundred.”
Holt CA Course 1
8-7 Making PredictionsCheck It Out! Example 1 Continued
100x 100 ____ 62,000
100 ______= Divide both sides by 100.
x = 620You can predict that about 620 out of 1,000 customers will buy something.
Think: 62 out of 100 is how many out of 1,000?
100 • x = 62 • 1,000
100x = 62,000
The cross products are equal.
62100___ x
1,000=
Holt CA Course 1
8-7 Making PredictionsAdditional Example 2: Using Theoretical Probability to Make
Predictions If you roll a number cube 30 times, how many times do you expect to roll a number greater than 2?
2 3 __ x
30 ___= Think: 2 out of 3 is how many
out of 30?3 • x = 2 • 30
3x = 60The cross products are equal.
P(greater than 2) = = 46__ 2
3__
Divide both sides by 3.
x = 20
3x 3 __ 60
3 __=
Holt CA Course 1
8-7 Making PredictionsAdditional Example 2 Continued
You can expect to roll a number greater than 2 about 20 times.
If you roll a number cube 30 times, how many times do you expect to roll a number greater than 2?
Holt CA Course 1
8-7 Making PredictionsCheck It Out! Example 2
If you roll a number cube 30 times, how many times do you expect to roll a number greater than 3?
1 2 __ x
30 ___= Think: 1 out of 2 is how many
out of 30?2 • x = 1 • 30
2x = 30The cross products are equal.
x is multiplied by 2.
P(greater than 3) = = 36__ 1
2__
Divide both sides by 2.
x = 15
2x 2 __ 30
2 __=
Holt CA Course 1
8-7 Making PredictionsCheck It Out! Example 2 Continued
You can expect to roll a number greater than 3 about 15 times.
If you roll a number cube 30 times, how many times do you expect to roll a number greater than 3?
Holt CA Course 1
8-7 Making Predictions Additional Example 3: Problem Solving Application
Suppose the managers of a second stadium, like the one on page 411, also sell yearly parking passes.The managers of the second stadium estimate that the probability of a person with a pass attending any one event is 50%. The parking lot has 400 spaces. If the managers want the lot to be full at every event, how many passes should they sell?
Holt CA Course 1
8-7 Making Predictions11 Understand the Problem
The answer will be the number of parking passes they should sell.List the important information:• P(person with pass attends event): = 50%• There are 400 parking spaces
The managers want to fill all 400 spaces. But on average, only 50% of parking pass holders will attend. So 50% of pass holders must equal 400. You can write an equation to find this number.
22 Make a Plan
Holt CA Course 1
8-7 Making PredictionsSolve33
50100___ 400
x____= Think: 50 out of 100 is 400
out of how many?
100 • 400 = 50 • x40,000 = 50x
The cross products are equal.
40,000 50 ______ 50x
50 ___ = Divide both sides by 50.
800 = x
The managers should sell 800 parking passes.
Holt CA Course 1
8-7 Making Predictions
If the managers sold only 400 passes, the parking lot would not usually be full because only about 50% of the people with passes will attend any one event. The managers should sell more than 400 passes, so 800 is a reasonable answer.
Look Back44
Holt CA Course 1
8-7 Making PredictionsCheck It Out! Example 3
The concert hall managers sell annual memberships. If you have an annual membership, you can attend any event during that year.The manager estimates that the probability of a person with a membership attending any one event is 60%. The concert hall has 600 seats. If the manager want the seats to be full at every event, how many memberships should she sell?
Holt CA Course 1
8-7 Making Predictions11 Understand the Problem
The answer will be the number of memberships they should sell.List the important information:• P(person with membership attends event): = 60%• There are 600 seats
The manager wants to fill all 600 seats. But on average, only 60% of membership holders will attend. So 60% of membership holders must equal 600. You can write an equation to find this number.
22 Make a Plan
Holt CA Course 1
8-7 Making PredictionsSolve33
60100___ 600
x____= Think: 60 out of 100 is 600
out of how many?
100 • 600 = 60 • x60,000 = 60x
The cross products are equal.
60,000 60 ______ 60x
60 ___ = Divide both sides by 60.
1,000 = x
The manager should sell 1,000 annual memberships.
Holt CA Course 1
8-7 Making Predictions
If the manager sold only 600 annual memberships, the seats would not usually be full because only about 60% of the people with memberships will attend any one event. The managers should sell more than 600 passes, so 1,000 is a reasonable answer.
Look Back44